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ABC
AdaptiveDA
ALEPH
ApproxBayesInf
BayesNonparam
BayesOpt
BigNeuro
BlackBox
CiML
CognitiveComputation1
CognitiveComputation2
ComplexNetworks
DeepRL
Extreme
FasterFromEasy
FeatureEx
Metareasoning
MLCB
MLEcom
MLHC
MLSys
MultiAgent
Multimodal
Multiresolution
NetworksInScience
Neuroimaging1
Neuroimaging2
NonConvexOpt
NonParam
OPT
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QuantumML
RAM
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StatsNeuralSys
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Friday
, December 11
8:00am EST
Introduction
Friday December 11, 2015 8:00am - 8:15am EST
510 db, MLHC
MLHC
8:15am EST
Opening remarks and welcome
Friday December 11, 2015 8:15am - 8:30am EST
511 f, StatsNeuralSys
StatsNeuralSys
8:15am EST
Integrating Artificial Intelligence into Emergency Care Steven Horng
Friday December 11, 2015 8:15am - 8:45am EST
510 db, MLHC
MLHC
8:30am EST
Introduction
Friday December 11, 2015 8:30am - 8:35am EST
513 ab, ApproxBayesInf
ApproxBayesInf
8:30am EST
Opening remarks, winner ISBA travel award
Friday December 11, 2015 8:30am - 8:40am EST
511 a, ABC
ABC
8:30am EST
Opening Remarks
Friday December 11, 2015 8:30am - 8:40am EST
512 cg, CognitiveComputation1
CognitiveComputation1
8:30am EST
Introduction to the workshop
Friday December 11, 2015 8:30am - 8:40am EST
512 bf, Metareasoning
Metareasoning
8:30am EST
Introduction to the 'Flavours of Physics' challenge. Andrey Ustyuzhanin (Yandex)
Friday December 11, 2015 8:30am - 9:00am EST
515 bc, ALEPH
ALEPH
8:30am EST
Surya Ganguli, Towards a theory of high dimensional, single trial neural data analysis: On the role of random projections and phase transitions
Friday December 11, 2015 8:30am - 9:00am EST
511 f, StatsNeuralSys
StatsNeuralSys
8:30am EST
Jorge Nocedal, An Evolving Gradient Resampling Method
Friday December 11, 2015 8:30am - 9:30am EST
510 ac, OPT
OPT
8:35am EST
Rajesh Ranganath: Challenges to variational inference: Optimization, automation, and accuracy
Friday December 11, 2015 8:35am - 9:00am EST
513 ab, ApproxBayesInf
ApproxBayesInf
8:40am EST
Introductory remarks
Friday December 11, 2015 8:40am - 8:45am EST
514 a, AdaptiveDA
AdaptiveDA
8:40am EST
Besold: Neural-symbolic integration: Challenges, promises, perspectives, ideas
Friday December 11, 2015 8:40am - 9:00am EST
512 cg, CognitiveComputation1
CognitiveComputation1
8:40am EST
Eric Horvitz
Friday December 11, 2015 8:40am - 9:00am EST
512 bf, Metareasoning
Metareasoning
8:40am EST
Mark Beaumont, ABC and Population Genetics: any lessons for big data?
Friday December 11, 2015 8:40am - 9:20am EST
511 a, ABC
ABC
8:45am EST
Opening Remarks
Friday December 11, 2015 8:45am - 9:00am EST
511 c, NonParam
NonParam
8:45am EST
Opening
Friday December 11, 2015 8:45am - 9:00am EST
511 b, SpokenLanguage
SpokenLanguage
8:45am EST
Andrea Montanari 'FDR and Online FDR'
Friday December 11, 2015 8:45am - 9:15am EST
514 a, AdaptiveDA
AdaptiveDA
8:45am EST
Finale Doshi Velez
Friday December 11, 2015 8:45am - 9:15am EST
510 db, MLHC
MLHC
8:50am EST
Dmitry Storcheus, A Survey of Modern Questions and Challenges in Feature Extraction
Friday December 11, 2015 8:50am - 9:15am EST
513 ef, FeatureEx
FeatureEx
9:00am EST
Opening Remarks
Friday December 11, 2015 9:00am - 9:10am EST
512 a, ProbIntegration
ProbIntegration
9:00am EST
Opening Remarks
Friday December 11, 2015 9:00am - 9:10am EST
514 bc, TimeSeries
TimeSeries
9:00am EST
Theophane Weber: Reinforced Variational Inference (contributed)
Friday December 11, 2015 9:00am - 9:15am EST
513 ab, ApproxBayesInf
ApproxBayesInf
9:00am EST
Introduction, Multimodal Machine Learning: A Short Survey
Friday December 11, 2015 9:00am - 9:15am EST
512 dh, Multimodal
Multimodal
9:00am EST
Data Science Competition Platforms. Ben Hamner (Kaggle)
Friday December 11, 2015 9:00am - 9:20am EST
515 bc, ALEPH
ALEPH
9:00am EST
Pedro Domingos
Friday December 11, 2015 9:00am - 9:30am EST
512 cg, CognitiveComputation1
CognitiveComputation1
9:00am EST
Bento: Learning Stochastic Differential Equations – Fundamental limits and efficient algorithms
Friday December 11, 2015 9:00am - 9:30am EST
511 e, ComplexNetworks
ComplexNetworks
9:00am EST
Honglak Lee
Friday December 11, 2015 9:00am - 9:30am EST
513 cd, DeepRL
DeepRL
9:00am EST
Introduction by organizers
Friday December 11, 2015 9:00am - 9:30am EST
511 d, FasterFromEasy
FasterFromEasy
9:00am EST
Yee Whye Teh (Random Tensor Decompositions for Regression and Collaborative Filtering)
Friday December 11, 2015 9:00am - 9:30am EST
511 c, NonParam
NonParam
9:00am EST
Katherine Heller, Translating between human & animal studies via Bayesian multi-task learning
Friday December 11, 2015 9:00am - 9:30am EST
511 f, StatsNeuralSys
StatsNeuralSys
9:00am EST
Supervised learning labels in a fast moving environment, Alessandro Magnani (@WalmartsLab)
Friday December 11, 2015 9:00am - 9:45am EST
512 e, MLEcom
MLEcom
9:00am EST
Gabriel Kreiman - Visual pattern completion: from neural circuits to computational models
Friday December 11, 2015 9:00am - 10:00am EST
515 a, Neuroimaging1
Neuroimaging1
9:00am EST
Keynote (Jason Weston, Facebook AI)
Friday December 11, 2015 9:00am - 10:00am EST
511 b, SpokenLanguage
SpokenLanguage
9:10am EST
Stuart Russell
Friday December 11, 2015 9:10am - 9:30am EST
512 bf, Metareasoning
Metareasoning
9:10am EST
Christian Robert
Friday December 11, 2015 9:10am - 9:40am EST
512 a, ProbIntegration
ProbIntegration
9:10am EST
Mehryar Mohri, Courant Inst. and Google Research (invited)
Friday December 11, 2015 9:10am - 9:50am EST
514 bc, TimeSeries
TimeSeries
9:15am EST
Nati Srebro
Friday December 11, 2015 9:15am - 9:45am EST
514 a, AdaptiveDA
AdaptiveDA
9:15am EST
Gourab De
Friday December 11, 2015 9:15am - 9:45am EST
510 db, MLHC
MLHC
9:15am EST
Panel: Tricks of the Trade.
Friday December 11, 2015 9:15am - 10:00am EST
513 ab, ApproxBayesInf
ApproxBayesInf
9:15am EST
Fei Sha, Do shallow kernel methods match deep neural networks-and if not, what can the shallow ones learn from the deep ones?
Friday December 11, 2015 9:15am - 10:00am EST
513 ef, FeatureEx
FeatureEx
9:15am EST
Dhruv Batra (Virginia Tech), Visual Question Answering (VQA)
Friday December 11, 2015 9:15am - 10:00am EST
512 dh, Multimodal
Multimodal
9:20am EST
Brandon Turner, Applications of Likelihood-free Bayesian Methods in Cognitive Science
Friday December 11, 2015 9:20am - 10:00am EST
511 a, ABC
ABC
9:20am EST
Data Science at LHCb. Tim Head (EPFL)
Friday December 11, 2015 9:20am - 10:00am EST
515 bc, ALEPH
ALEPH
9:30am EST
Yossi Arjevani, On Lower and Upper Bounds in Smooth and Strongly Convex Optimization
Friday December 11, 2015 9:30am - 9:50am EST
510 ac, OPT
OPT
9:30am EST
Stephen Muggleton
Friday December 11, 2015 9:30am - 10:00am EST
512 cg, CognitiveComputation1
CognitiveComputation1
9:30am EST
Poster spotlights part I
Friday December 11, 2015 9:30am - 10:00am EST
511 e, ComplexNetworks
ComplexNetworks
9:30am EST
Juergen Schmidhuber
Friday December 11, 2015 9:30am - 10:00am EST
513 cd, DeepRL
DeepRL
9:30am EST
Peter Auer
Friday December 11, 2015 9:30am - 10:00am EST
511 d, FasterFromEasy
FasterFromEasy
9:30am EST
Amr Ahmed
Friday December 11, 2015 9:30am - 10:00am EST
511 c, NonParam
NonParam
9:30am EST
Mitya Chklovskii, Similarity matching: A new theory of neural computation
Friday December 11, 2015 9:30am - 10:00am EST
511 f, StatsNeuralSys
StatsNeuralSys
9:40am EST
Noah Goodman, Synthesis of the session
Friday December 11, 2015 9:40am - 9:55am EST
512 bf, Metareasoning
Metareasoning
9:40am EST
François-Xavier Briol
Friday December 11, 2015 9:40am - 10:00am EST
512 a, ProbIntegration
ProbIntegration
9:45am EST
Moritz Hardt, Discussant
Friday December 11, 2015 9:45am - 10:00am EST
514 a, AdaptiveDA
AdaptiveDA
9:45am EST
Doubly Robust Off-policy Evaluation for Reinforcement Learning, Nan Jiang
Friday December 11, 2015 9:45am - 10:00am EST
512 e, MLEcom
MLEcom
9:45am EST
Poster session #1
Friday December 11, 2015 9:45am - 11:00am EST
510 db, MLHC
MLHC
9:50am EST
Isotonic Hawkess Processes (contributed)
Friday December 11, 2015 9:50am - 10:05am EST
514 bc, TimeSeries
TimeSeries
9:50am EST
Posters
Friday December 11, 2015 9:50am - 11:50am EST
510 ac, OPT
OPT
10:00am EST
James Y. Zou, Discovering Salient Features via Adaptively Chosen Comparisons
Friday December 11, 2015 10:00am - 10:20am EST
513 ef, FeatureEx
FeatureEx
10:00am EST
Michael Bowling
Friday December 11, 2015 10:00am - 10:30am EST
513 cd, DeepRL
DeepRL
10:00am EST
Contributed - Brian Helfer - Assessing Functional Neural Connectivity as an Indicator of Cognitive Performance
Friday December 11, 2015 10:00am - 10:30am EST
515 a, Neuroimaging1
Neuroimaging1
10:20am EST
Flavours of Physics challenge: 4th place solution. Michal Wojcik (Avast)
Friday December 11, 2015 10:20am - 10:30am EST
515 bc, ALEPH
ALEPH
10:20am EST
Panel 1
Friday December 11, 2015 10:20am - 11:50am EST
511 b, SpokenLanguage
SpokenLanguage
10:30am EST
Flavours of Physics challenge: 3d place solution. Josef Slavicek
Friday December 11, 2015 10:30am - 10:40am EST
515 bc, ALEPH
ALEPH
10:30am EST
Rick Lewis
Friday December 11, 2015 10:30am - 10:50am EST
512 bf, Metareasoning
Metareasoning
10:30am EST
Andrea Montanari: Approximate inference with semidefinite relaxations
Friday December 11, 2015 10:30am - 10:55am EST
513 ab, ApproxBayesInf
ApproxBayesInf
10:30am EST
Cynthia Dwork
Friday December 11, 2015 10:30am - 11:00am EST
514 a, AdaptiveDA
AdaptiveDA
10:30am EST
Rina Dechter
Friday December 11, 2015 10:30am - 11:00am EST
512 cg, CognitiveComputation1
CognitiveComputation1
10:30am EST
Macke: Correlations and signatures of criticality in neural population models
Friday December 11, 2015 10:30am - 11:00am EST
511 e, ComplexNetworks
ComplexNetworks
10:30am EST
Aarti Singh
Friday December 11, 2015 10:30am - 11:00am EST
511 d, FasterFromEasy
FasterFromEasy
10:30am EST
Fei Sha (Do shallow kernel methods match deep neural networks -- and if not, what can the shallow ones learn from the deep ones?)
Friday December 11, 2015 10:30am - 11:00am EST
511 c, NonParam
NonParam
10:30am EST
Arthur Gretton
Friday December 11, 2015 10:30am - 11:00am EST
512 a, ProbIntegration
ProbIntegration
10:30am EST
Poster Session 1
Friday December 11, 2015 10:30am - 11:00am EST
511 f, StatsNeuralSys
StatsNeuralSys
10:30am EST
David Nott, Uses of ABC in prior choice and Bayesian model checking
Friday December 11, 2015 10:30am - 11:10am EST
511 a, ABC
ABC
10:30am EST
Michael Mahoney, Column Subset Selection on Terabyte-sized Scientific Data
Friday December 11, 2015 10:30am - 11:15am EST
513 ef, FeatureEx
FeatureEx
10:30am EST
Why would you recommend me THAT!?, Aish Fenton (Netflix)
Friday December 11, 2015 10:30am - 11:15am EST
512 e, MLEcom
MLEcom
10:30am EST
Accepted orals and spotlights
Friday December 11, 2015 10:30am - 11:15am EST
512 dh, Multimodal
Multimodal
10:30am EST
Panel discussion: Modern Challenges in Time Series Analysis
Friday December 11, 2015 10:30am - 11:20am EST
514 bc, TimeSeries
TimeSeries
10:40am EST
Flavours of Physics challenge: 2nd place solution. Alexander Gramolin (Budker Inst. of Nuclear Physics)
Friday December 11, 2015 10:40am - 10:50am EST
515 bc, ALEPH
ALEPH
10:50am EST
Flavours of Physics challenge: 1st place solution. Alexander Guschin/Vlad Mironov
Friday December 11, 2015 10:50am - 11:00am EST
515 bc, ALEPH
ALEPH
10:55am EST
Rajesh Ranganath: Hierarchical Variational Models (contributed)
Friday December 11, 2015 10:55am - 11:10am EST
513 ab, ApproxBayesInf
ApproxBayesInf
11:00am EST
Physics Prize Awards Announcement. Marcin Chrzaszcz (Universitaet Zuerich)
Friday December 11, 2015 11:00am - 11:10am EST
515 bc, ALEPH
ALEPH
11:00am EST
Henry Brighton
Friday December 11, 2015 11:00am - 11:20am EST
512 bf, Metareasoning
Metareasoning
11:00am EST
Accuracy on the test set is not enough --- the risk of deploying unintelligible models in healthcare. Rich Caruana
Friday December 11, 2015 11:00am - 11:20am EST
510 db, MLHC
MLHC
11:00am EST
Jon Ullman 'Barriers to Preventing False Discovery in Interactive Data Analysis'
Friday December 11, 2015 11:00am - 11:30am EST
514 a, AdaptiveDA
AdaptiveDA
11:00am EST
Josh Tenenbaum
Friday December 11, 2015 11:00am - 11:30am EST
512 cg, CognitiveComputation1
CognitiveComputation1
11:00am EST
Poster spotlights part II
Friday December 11, 2015 11:00am - 11:30am EST
511 e, ComplexNetworks
ComplexNetworks
11:00am EST
Vlad Mnih
Friday December 11, 2015 11:00am - 11:30am EST
513 cd, DeepRL
DeepRL
11:00am EST
Dylan Foster
Friday December 11, 2015 11:00am - 11:30am EST
511 d, FasterFromEasy
FasterFromEasy
11:00am EST
Poster highlights
Friday December 11, 2015 11:00am - 11:30am EST
515 a, Neuroimaging1
Neuroimaging1
11:00am EST
Poster Spotlights
Friday December 11, 2015 11:00am - 11:30am EST
511 c, NonParam
NonParam
11:00am EST
Roman Garnett
Friday December 11, 2015 11:00am - 11:30am EST
512 a, ProbIntegration
ProbIntegration
11:00am EST
Matthias Bethge, Let's compete - benchmarking models in neuroscience
Friday December 11, 2015 11:00am - 11:30am EST
511 f, StatsNeuralSys
StatsNeuralSys
11:10am EST
Poster spotlights
Friday December 11, 2015 11:10am - 11:30am EST
513 ab, ApproxBayesInf
ApproxBayesInf
11:10am EST
Mijung Park, K2-ABC: ABC with Kernel Embeddings
Friday December 11, 2015 11:10am - 11:35am EST
511 a, ABC
ABC
11:10am EST
Open ML problems in High Energy Physics. Daniel Whiteson (UC Irvine)
Friday December 11, 2015 11:10am - 11:50am EST
515 bc, ALEPH
ALEPH
11:15am EST
Conservative Bandits, Roshan Shariff
Friday December 11, 2015 11:15am - 11:30am EST
512 e, MLEcom
MLEcom
11:15am EST
Le Song, Scalable Kernel Methods for Big Nonlinear Problems
Friday December 11, 2015 11:15am - 12:00pm EST
513 ef, FeatureEx
FeatureEx
11:15am EST
Poster session
Friday December 11, 2015 11:15am - 12:30pm EST
512 dh, Multimodal
Multimodal
11:20am EST
Poster session
Friday December 11, 2015 11:20am - 12:00pm EST
514 bc, TimeSeries
TimeSeries
11:30am EST
Dean Foster, Discussant
Friday December 11, 2015 11:30am - 11:45am EST
514 a, AdaptiveDA
AdaptiveDA
11:30am EST
Attribute Extraction from Noisy Text Using Character-based Sequence Tagging Models, Pallika Kanani
Friday December 11, 2015 11:30am - 11:45am EST
512 e, MLEcom
MLEcom
11:30am EST
Falk Lieder
Friday December 11, 2015 11:30am - 11:50am EST
512 bf, Metareasoning
Metareasoning
11:30am EST
Discussion, Q&A, etc.
Friday December 11, 2015 11:30am - 12:00pm EST
512 cg, CognitiveComputation1
CognitiveComputation1
11:30am EST
Poster session part I
Friday December 11, 2015 11:30am - 12:00pm EST
511 e, ComplexNetworks
ComplexNetworks
11:30am EST
Gerry Tesauro
Friday December 11, 2015 11:30am - 12:00pm EST
513 cd, DeepRL
DeepRL
11:30am EST
Poster spotlights I
Friday December 11, 2015 11:30am - 12:00pm EST
511 d, FasterFromEasy
FasterFromEasy
11:30am EST
Healthcare challenges #1
Friday December 11, 2015 11:30am - 12:00pm EST
510 db, MLHC
MLHC
11:30am EST
Poster session 1
Friday December 11, 2015 11:30am - 12:00pm EST
515 a, Neuroimaging1
Neuroimaging1
11:30am EST
Posters
Friday December 11, 2015 11:30am - 12:00pm EST
511 c, NonParam
NonParam
11:30am EST
Spotlight talks
Friday December 11, 2015 11:30am - 12:00pm EST
512 a, ProbIntegration
ProbIntegration
11:30am EST
Yoshua Bengio, Small Steps Towards Biologically Plausible Deep Learning
Friday December 11, 2015 11:30am - 12:00pm EST
511 f, StatsNeuralSys
StatsNeuralSys
11:30am EST
Poster session
Friday December 11, 2015 11:30am - 1:00pm EST
513 ab, ApproxBayesInf
ApproxBayesInf
11:35am EST
Kenji Fukumizu, Kernel Mean Particle Filter with Intractable Likelihoods
Friday December 11, 2015 11:35am - 12:00pm EST
511 a, ABC
ABC
11:45am EST
Filtering as a Multi-Armed Bandit, Frédéric Guillou
Friday December 11, 2015 11:45am - 12:00pm EST
512 e, MLEcom
MLEcom
11:50am EST
Pitfalls of evaluating a classifier's performance in high energy physics applications. Tim Head (EPFL)
Friday December 11, 2015 11:50am - 12:05pm EST
515 bc, ALEPH
ALEPH
11:50am EST
Horia Mania, Perturbed Iterate Analysis for Asynchronous Stochastic Optimization
Friday December 11, 2015 11:50am - 12:10pm EST
510 ac, OPT
OPT
11:50am EST
Poster Spotlight
Friday December 11, 2015 11:50am - 12:30pm EST
511 b, SpokenLanguage
SpokenLanguage
12:00pm EST
Osaro presentation
Friday December 11, 2015 12:00pm - 12:05pm EST
513 cd, DeepRL
DeepRL
12:00pm EST
Poster Spotlights
Friday December 11, 2015 12:00pm - 12:15pm EST
512 cg, CognitiveComputation1
CognitiveComputation1
12:00pm EST
Yixuan Li, Convergent Learning: Do different neural networks learn similar features?
Friday December 11, 2015 12:00pm - 12:20pm EST
513 ef, FeatureEx
FeatureEx
12:05pm EST
Flavours of Physics: Identifying Tau to Three Muon Decay Events at the LHCb Using a Combination of Hand-Crafted and Automatic Feature Engineering and Ensemble Algorithms. Rishab Gargeya Arjun Subramaniam
Friday December 11, 2015 12:05pm - 12:30pm EST
515 bc, ALEPH
ALEPH
12:10pm EST
Ruoyu Sun, On the Expected Convergence of Randomly Permuted ADMM
Friday December 11, 2015 12:10pm - 12:30pm EST
510 ac, OPT
OPT
12:20pm EST
Poster Session 1
Friday December 11, 2015 12:20pm - 2:50pm EST
513 ef, FeatureEx
FeatureEx
12:45pm EST
Jessica Hamrick
Friday December 11, 2015 12:45pm - 1:05pm EST
512 bf, Metareasoning
Metareasoning
1:15pm EST
Lael Schooler
Friday December 11, 2015 1:15pm - 1:35pm EST
512 bf, Metareasoning
Metareasoning
1:30pm EST
Poster Session
Friday December 11, 2015 1:30pm - 3:00pm EST
511 b, SpokenLanguage
SpokenLanguage
1:45pm EST
Tom Griffiths, Synthesis of the session
Friday December 11, 2015 1:45pm - 2:00pm EST
512 bf, Metareasoning
Metareasoning
2:00pm EST
Jonathan Cohen
Friday December 11, 2015 2:00pm - 2:20pm EST
512 bf, Metareasoning
Metareasoning
2:00pm EST
Sergey Levine
Friday December 11, 2015 2:00pm - 2:30pm EST
513 cd, DeepRL
DeepRL
2:00pm EST
Parametrizing classifiers. Balazs Kegl (Linear Accelerator Lab.)
Friday December 11, 2015 2:00pm - 2:40pm EST
515 bc, ALEPH
ALEPH
2:00pm EST
Building [Machine] Learning Healthcare Systems Nigam Shah
Friday December 11, 2015 2:00pm - 2:45pm EST
510 db, MLHC
MLHC
2:15pm EST
Poster Session (1)
Friday December 11, 2015 2:15pm - 3:30pm EST
512 cg, CognitiveComputation1
CognitiveComputation1
2:30pm EST
Veeranjaneyulu Sadhanala (Graph Sparsification Approaches for Laplacian Smoothing, Contributed)
Friday December 11, 2015 2:30pm - 2:45pm EST
511 c, NonParam
NonParam
2:30pm EST
Quentin Huys
Friday December 11, 2015 2:30pm - 2:50pm EST
512 bf, Metareasoning
Metareasoning
2:30pm EST
Montanari: Information-theoretic bounds on learning network dynamics
Friday December 11, 2015 2:30pm - 3:00pm EST
511 e, ComplexNetworks
ComplexNetworks
2:30pm EST
Yoshua Bengio
Friday December 11, 2015 2:30pm - 3:00pm EST
513 cd, DeepRL
DeepRL
2:30pm EST
Peter Grünwald
Friday December 11, 2015 2:30pm - 3:00pm EST
511 d, FasterFromEasy
FasterFromEasy
2:30pm EST
Optimal A-B Testing, Vivek Farias (MIT)
Friday December 11, 2015 2:30pm - 3:00pm EST
512 e, MLEcom
MLEcom
2:30pm EST
Francis Bach
Friday December 11, 2015 2:30pm - 3:00pm EST
512 a, ProbIntegration
ProbIntegration
2:30pm EST
Pulkit Agrawal The Human Visual Hierarchy is Isomorphic to the Hierarchy learned by a Deep Convolutional Neural Network Trained for Object Recognition
Friday December 11, 2015 2:30pm - 3:00pm EST
511 f, StatsNeuralSys
StatsNeuralSys
2:30pm EST
Rob Deardon, ABC-based inference for epidemic models with uncertain underlying contact networks
Friday December 11, 2015 2:30pm - 3:10pm EST
511 a, ABC
ABC
2:30pm EST
Emily Fox, University of Washington (invited)
Friday December 11, 2015 2:30pm - 3:10pm EST
514 bc, TimeSeries
TimeSeries
2:30pm EST
Raymond Mooney (UT Austin), Generating Natural-Language Video Descriptions using LSTM Recurrent Neural Networks
Friday December 11, 2015 2:30pm - 3:15pm EST
512 dh, Multimodal
Multimodal
2:30pm EST
Mitsuo Kawato - Spectrum of Psychiatric Disorders revealed by Machine Learning Algorithms
Friday December 11, 2015 2:30pm - 3:30pm EST
515 a, Neuroimaging1
Neuroimaging1
2:30pm EST
Guanghui Lan, Complexity of composite optimization
Friday December 11, 2015 2:30pm - 3:30pm EST
510 ac, OPT
OPT
2:40pm EST
James Hensman: A framework for variational inference in Gaussian process models
Friday December 11, 2015 2:40pm - 3:05pm EST
513 ab, ApproxBayesInf
ApproxBayesInf
2:40pm EST
Deep Learning RNNaissance. Jurgen Schmidhuber
Friday December 11, 2015 2:40pm - 3:30pm EST
515 bc, ALEPH
ALEPH
2:45pm EST
Tatsu Hashimoto (Word, Graph, and Manifold Embedding from Markov Processes, Contributed)
Friday December 11, 2015 2:45pm - 3:00pm EST
511 c, NonParam
NonParam
2:45pm EST
Rina Foygel Barber 'Leveraging prior information and group structure for false discovery rate control'
Friday December 11, 2015 2:45pm - 3:15pm EST
514 a, AdaptiveDA
AdaptiveDA
2:45pm EST
Contributed student talks
Friday December 11, 2015 2:45pm - 4:00pm EST
510 db, MLHC
MLHC
2:50pm EST
Kilian Weinberger, Deep Manifold Traversal
Friday December 11, 2015 2:50pm - 3:35pm EST
513 ef, FeatureEx
FeatureEx
3:00pm EST
Angela Yu
Friday December 11, 2015 3:00pm - 3:20pm EST
512 bf, Metareasoning
Metareasoning
3:00pm EST
Braunstein: Bayesian inference of cascades on networks
Friday December 11, 2015 3:00pm - 3:30pm EST
511 e, ComplexNetworks
ComplexNetworks
3:00pm EST
Satyen Kale
Friday December 11, 2015 3:00pm - 3:30pm EST
511 d, FasterFromEasy
FasterFromEasy
3:00pm EST
Real-time Predictions using Time-series Data, Devavrat Shah (MIT)
Friday December 11, 2015 3:00pm - 3:30pm EST
512 e, MLEcom
MLEcom
3:00pm EST
Jean-Philippe Vert (Learning from Rankings)
Friday December 11, 2015 3:00pm - 3:30pm EST
511 c, NonParam
NonParam
3:00pm EST
David Duvenaud
Friday December 11, 2015 3:00pm - 3:30pm EST
512 a, ProbIntegration
ProbIntegration
3:00pm EST
Yann Lecun, Unsupervised Learning (TBA)
Friday December 11, 2015 3:00pm - 3:30pm EST
511 f, StatsNeuralSys
StatsNeuralSys
3:00pm EST
Spotlight talks
Friday December 11, 2015 3:00pm - 4:00pm EST
513 cd, DeepRL
DeepRL
3:00pm EST
Best 3 paper talks
Friday December 11, 2015 3:00pm - 4:00pm EST
511 b, SpokenLanguage
SpokenLanguage
3:05pm EST
Daniel Hernandez-Lobato: Stochastic Expectation Propagation for Large Scale Gaussian Process Classification (contributed)
Friday December 11, 2015 3:05pm - 3:20pm EST
513 ab, ApproxBayesInf
ApproxBayesInf
3:10pm EST
Sparse Adaptive Prior for Time Dependent Model Parameters (contributed)
Friday December 11, 2015 3:10pm - 3:25pm EST
514 bc, TimeSeries
TimeSeries
3:10pm EST
Oksana Chkrebtii, Approximate Bayesian Computation for Inference on the Introduction and Spread Patterns of Invasive Species
Friday December 11, 2015 3:10pm - 3:50pm EST
511 a, ABC
ABC
3:15pm EST
Will Fithian 'Optimal Inference After Model Selection'
Friday December 11, 2015 3:15pm - 3:45pm EST
514 a, AdaptiveDA
AdaptiveDA
3:15pm EST
Li Deng (MSR), Cross-Modality Distant Supervised Learning for Speech, Text, and Image Classification
Friday December 11, 2015 3:15pm - 4:00pm EST
512 dh, Multimodal
Multimodal
3:20pm EST
Cedric Archambeau: Incremental Variational Inference for Latent Dirichlet Allocation (contributed)
Friday December 11, 2015 3:20pm - 3:35pm EST
513 ab, ApproxBayesInf
ApproxBayesInf
3:25pm EST
Design of Covariance Functions using Inter-Domain Inducing Variables (contributed)
Friday December 11, 2015 3:25pm - 3:40pm EST
514 bc, TimeSeries
TimeSeries
3:30pm EST
Jet Images: Deep Learning Edition. Luke Percival De Oliveira (SLAC National Accelerator Lab.)
Friday December 11, 2015 3:30pm - 3:45pm EST
515 bc, ALEPH
ALEPH
3:30pm EST
A Ranking Approach to Address the Click Sparsity Problem in Personalized Ad Recommendation, Sougata Chaudhuri
Friday December 11, 2015 3:30pm - 3:45pm EST
512 e, MLEcom
MLEcom
3:30pm EST
Antoine Bordes
Friday December 11, 2015 3:30pm - 4:00pm EST
512 cg, CognitiveComputation1
CognitiveComputation1
3:30pm EST
Poster session part II
Friday December 11, 2015 3:30pm - 4:00pm EST
511 e, ComplexNetworks
ComplexNetworks
3:30pm EST
Poster spotlights II
Friday December 11, 2015 3:30pm - 4:00pm EST
511 d, FasterFromEasy
FasterFromEasy
3:30pm EST
Contributed - Romy Lorenz - Stopping criteria for boosting automatic experimental design using real-time fMRI with Bayesian optimization
Friday December 11, 2015 3:30pm - 4:00pm EST
515 a, Neuroimaging1
Neuroimaging1
3:30pm EST
Michael Mahoney (Using Local Spectral Methods in Theory and in Practice)
Friday December 11, 2015 3:30pm - 4:00pm EST
511 c, NonParam
NonParam
3:30pm EST
Max Welling
Friday December 11, 2015 3:30pm - 4:00pm EST
512 a, ProbIntegration
ProbIntegration
3:30pm EST
Poster Session 2
Friday December 11, 2015 3:30pm - 4:00pm EST
511 f, StatsNeuralSys
StatsNeuralSys
3:30pm EST
POSTER SESSION
Friday December 11, 2015 3:30pm - 5:30pm EST
510 ac, OPT
OPT
3:35pm EST
Emily Fox: Variational inference for large-scale and streaming sequential data
Friday December 11, 2015 3:35pm - 4:00pm EST
513 ab, ApproxBayesInf
ApproxBayesInf
3:35pm EST
Gregoire Montavon and Wojciech Samek, Explaining individual deep network predictions and measuring the quality of these explanations
Friday December 11, 2015 3:35pm - 4:20pm EST
513 ef, FeatureEx
FeatureEx
3:40pm EST
Markov GP for Scalable Expressive Online Bayessian Nonparametric Time Series Forecasting (contributed)
Friday December 11, 2015 3:40pm - 3:45pm EST
514 bc, TimeSeries
TimeSeries
3:40pm EST
Sam Gershman, Synthesis of the session
Friday December 11, 2015 3:40pm - 3:55pm EST
512 bf, Metareasoning
Metareasoning
3:45pm EST
James Zou, Discussant
Friday December 11, 2015 3:45pm - 4:00pm EST
514 a, AdaptiveDA
AdaptiveDA
3:45pm EST
Computing Strategic and Interpretable Recommendation Sets, Marek Petrik
Friday December 11, 2015 3:45pm - 4:00pm EST
512 e, MLEcom
MLEcom
3:45pm EST
Output Correction in HEP using DPGMM. Adil Omari
Friday December 11, 2015 3:45pm - 4:30pm EST
515 bc, ALEPH
ALEPH
4:00pm EST
Ramanathan V. Guha
Friday December 11, 2015 4:00pm - 4:30pm EST
512 cg, CognitiveComputation1
CognitiveComputation1
4:00pm EST
Continuation of poster session 1
Friday December 11, 2015 4:00pm - 4:30pm EST
515 a, Neuroimaging1
Neuroimaging1
4:00pm EST
Posters
Friday December 11, 2015 4:00pm - 5:00pm EST
513 cd, DeepRL
DeepRL
4:00pm EST
Poster session
Friday December 11, 2015 4:00pm - 5:00pm EST
511 d, FasterFromEasy
FasterFromEasy
4:00pm EST
Poster Session #2
Friday December 11, 2015 4:00pm - 5:30pm EST
510 db, MLHC
MLHC
4:20pm EST
Panel 2
Friday December 11, 2015 4:20pm - 6:10pm EST
511 b, SpokenLanguage
SpokenLanguage
4:30pm EST
Stochastically Transitive Models for Pairwise Comparisons: Statistical and Computational Issues, Nihar Shah
Friday December 11, 2015 4:30pm - 4:45pm EST
512 e, MLEcom
MLEcom
4:30pm EST
Manfred Opper: Approximate inference for Ising models with random couplings
Friday December 11, 2015 4:30pm - 4:55pm EST
513 ab, ApproxBayesInf
ApproxBayesInf
4:30pm EST
Wentao Li, On the Asymptotic Behavior of ABC
Friday December 11, 2015 4:30pm - 5:00pm EST
511 a, ABC
ABC
4:30pm EST
Andrew Gelman
Friday December 11, 2015 4:30pm - 5:00pm EST
514 a, AdaptiveDA
AdaptiveDA
4:30pm EST
Poster session part III
Friday December 11, 2015 4:30pm - 5:00pm EST
511 e, ComplexNetworks
ComplexNetworks
4:30pm EST
Francis Bach (Sharp Analysis of Random Feature Expansions)
Friday December 11, 2015 4:30pm - 5:00pm EST
511 c, NonParam
NonParam
4:30pm EST
Neil Lawrence, The Mechanistic Fallacy and Modelling how we Think
Friday December 11, 2015 4:30pm - 5:00pm EST
511 f, StatsNeuralSys
StatsNeuralSys
4:30pm EST
An alternative to ABC for likelihood-free inference. Kyle Stuart Cranmer (NYU)
Friday December 11, 2015 4:30pm - 5:10pm EST
515 bc, ALEPH
ALEPH
4:30pm EST
Panel Discussion
Friday December 11, 2015 4:30pm - 5:10pm EST
513 ef, FeatureEx
FeatureEx
4:30pm EST
Shie Mannor, Technion (invited)
Friday December 11, 2015 4:30pm - 5:10pm EST
514 bc, TimeSeries
TimeSeries
4:30pm EST
Ruslan Salakhutdinov (CMU), Generating Images from Captions with Attention
Friday December 11, 2015 4:30pm - 5:15pm EST
512 dh, Multimodal
Multimodal
4:30pm EST
Poster Session
Friday December 11, 2015 4:30pm - 5:30pm EST
512 bf, Metareasoning
Metareasoning
4:30pm EST
Sylvain Baillet - Possible mechanisms enabling functional brain connectivity in the resting and active states
Friday December 11, 2015 4:30pm - 5:30pm EST
515 a, Neuroimaging1
Neuroimaging1
4:30pm EST
Panel discussion
Friday December 11, 2015 4:30pm - 5:30pm EST
512 a, ProbIntegration
ProbIntegration
4:45pm EST
Collaborative Filtering with Stacked Denoising AutoEncoders and Sparse Inputs, Florian Strub
Friday December 11, 2015 4:45pm - 5:00pm EST
512 e, MLEcom
MLEcom
4:55pm EST
Panel: On the Foundations and Future of Approximate Inference
Friday December 11, 2015 4:55pm - 6:00pm EST
513 ab, ApproxBayesInf
ApproxBayesInf
5:00pm EST
Automatic Layout Element Detection From E-Commerce Pages, Anura Bhardwaj.
Friday December 11, 2015 5:00pm - 5:15pm EST
512 e, MLEcom
MLEcom
5:00pm EST
Closing Remarks
Friday December 11, 2015 5:00pm - 5:15pm EST
511 c, NonParam
NonParam
5:00pm EST
Greg Wayne
Friday December 11, 2015 5:00pm - 5:30pm EST
512 cg, CognitiveComputation1
CognitiveComputation1
5:00pm EST
Grima: Exact and approximate solutions for spatial stochastic models of chemical system
Friday December 11, 2015 5:00pm - 5:30pm EST
511 e, ComplexNetworks
ComplexNetworks
5:00pm EST
Martin Riedmiller
Friday December 11, 2015 5:00pm - 5:30pm EST
513 cd, DeepRL
DeepRL
5:00pm EST
Iain Murray, ABC as Learning
Friday December 11, 2015 5:00pm - 5:40pm EST
511 a, ABC
ABC
5:00pm EST
Gergely Neu
Friday December 11, 2015 5:00pm - 5:45pm EST
511 d, FasterFromEasy
FasterFromEasy
5:00pm EST
Panel
Friday December 11, 2015 5:00pm - 6:00pm EST
514 a, AdaptiveDA
AdaptiveDA
5:00pm EST
Panel: Deep Learning and neuroscience: What can brains tell us about massive computing and vice versa?
Friday December 11, 2015 5:00pm - 6:00pm EST
511 f, StatsNeuralSys
StatsNeuralSys
5:10pm EST
Mixing Time Estimation in Reversible Markov Chains from a Single Sample Path (contributed)
Friday December 11, 2015 5:10pm - 5:25pm EST
514 bc, TimeSeries
TimeSeries
5:10pm EST
Artificial Physicists. J Michael Williams (MIT)
Friday December 11, 2015 5:10pm - 5:50pm EST
515 bc, ALEPH
ALEPH
5:10pm EST
Poster Session 2
Friday December 11, 2015 5:10pm - 6:30pm EST
513 ef, FeatureEx
FeatureEx
5:15pm EST
Cost-sensitive Learning for Bidding in Online Advertising Auctions, Flavian Vasile
Friday December 11, 2015 5:15pm - 5:30pm EST
512 e, MLEcom
MLEcom
5:15pm EST
Panel Discussion
Friday December 11, 2015 5:15pm - 5:45pm EST
511 c, NonParam
NonParam
5:15pm EST
Ji Heng (RPI), Automatic Cross-Media Event Schema Construction and Knowledge Population
Friday December 11, 2015 5:15pm - 6:00pm EST
512 dh, Multimodal
Multimodal
5:25pm EST
Ramo Gencay, Simon Fraser University (invited)
Friday December 11, 2015 5:25pm - 6:05pm EST
514 bc, TimeSeries
TimeSeries
5:30pm EST
Deep Temporal Features to Predict Repeat Buyers, Pankaj Malhotra
Friday December 11, 2015 5:30pm - 5:45pm EST
512 e, MLEcom
MLEcom
5:30pm EST
Discussion, Q&A, etc.
Friday December 11, 2015 5:30pm - 6:00pm EST
512 cg, CognitiveComputation1
CognitiveComputation1
5:30pm EST
Taylor: Learning Multi-scale Temporal Dynamics with Recurrent Neural Networks
Friday December 11, 2015 5:30pm - 6:00pm EST
511 e, ComplexNetworks
ComplexNetworks
5:30pm EST
Jan Koutnik
Friday December 11, 2015 5:30pm - 6:00pm EST
513 cd, DeepRL
DeepRL
5:30pm EST
Personalized Mobile Health Interventions Ambuj Tewari
Friday December 11, 2015 5:30pm - 6:00pm EST
510 db, MLHC
MLHC
5:30pm EST
Panel Discussion
Friday December 11, 2015 5:30pm - 6:15pm EST
512 bf, Metareasoning
Metareasoning
5:30pm EST
Panel discussion 1 + snacks and drinks
Friday December 11, 2015 5:30pm - 6:30pm EST
515 a, Neuroimaging1
Neuroimaging1
5:30pm EST
Elad Hazan, Faster Convex Optimization: Simulated Annealing with an Efficient Universal Barrier
Friday December 11, 2015 5:30pm - 6:30pm EST
510 ac, OPT
OPT
5:45pm EST
Panel discussion
Friday December 11, 2015 5:45pm - 6:30pm EST
511 d, FasterFromEasy
FasterFromEasy
5:45pm EST
From sale prediction to product recommendation: designing, learning, and evaluating large-scale models at Criteo, Nicolas Le Roux (Criteo)
Friday December 11, 2015 5:45pm - 6:30pm EST
512 e, MLEcom
MLEcom
5:45pm EST
Poster Session
Friday December 11, 2015 5:45pm - 6:30pm EST
511 c, NonParam
NonParam
5:50pm EST
Panel discussion on collaborative research between HEP & ML. Andrey Ustyuzhanin (Yandex)
Friday December 11, 2015 5:50pm - 7:00pm EST
515 bc, ALEPH
ALEPH
6:00pm EST
Concluding discussion: open questions, promising synergies, roadmap?
Friday December 11, 2015 6:00pm - 6:30pm EST
511 e, ComplexNetworks
ComplexNetworks
6:00pm EST
Healthcare challenges #2
Friday December 11, 2015 6:00pm - 6:30pm EST
510 db, MLHC
MLHC
6:05pm EST
Temporal Regularized Matrix Factorization (contributed)
Friday December 11, 2015 6:05pm - 6:20pm EST
514 bc, TimeSeries
TimeSeries
6:15pm EST
Summary of the workshop, open discussion, concluding remarks
Friday December 11, 2015 6:15pm - 6:30pm EST
512 bf, Metareasoning
Metareasoning
Saturday
, December 12
8:00am EST
Introduction Manik Varma and Moustapha Cisse
Saturday December 12, 2015 8:00am - 8:10am EST
511 f, Extreme
Extreme
8:10am EST
Samy Bengio (Google) Sharing is Caring in the Land of The Long Tail
Saturday December 12, 2015 8:10am - 8:40am EST
511 f, Extreme
Extreme
8:20am EST
Introduction
Saturday December 12, 2015 8:20am - 8:30am EST
510 ac, RAM
RAM
8:25am EST
Introduction
Saturday December 12, 2015 8:25am - 8:30am EST
515 bc, BayesNonparam
BayesNonparam
8:30am EST
Opening Remarks
Saturday December 12, 2015 8:30am - 8:40am EST
511 d, MLSys
MLSys
8:30am EST
Introduction
Saturday December 12, 2015 8:30am - 8:40am EST
511 a, MultiAgent
MultiAgent
8:30am EST
Peter Orbanz
Saturday December 12, 2015 8:30am - 9:00am EST
515 bc, BayesNonparam
BayesNonparam
8:30am EST
Carmantini: Turing Computation with Recurrent Artifcial Neural Networks
Saturday December 12, 2015 8:30am - 9:00am EST
512 cg, CognitiveComputation2
CognitiveComputation2
8:30am EST
How to learn an algorithm, Juergen Schmidhuber (Invited)
Saturday December 12, 2015 8:30am - 9:05am EST
510 ac, RAM
RAM
8:30am EST
Josh Tenenbaum
Saturday December 12, 2015 8:30am - 9:10am EST
513 ef, BlackBox
BlackBox
8:40am EST
Yiming Yang (CMU) Large-scale Structured Learning for Statistical Classification
Saturday December 12, 2015 8:40am - 9:10am EST
511 f, Extreme
Extreme
8:40am EST
Invited Talk: Jeff Dean
Saturday December 12, 2015 8:40am - 9:10am EST
511 d, MLSys
MLSys
8:40am EST
Workshop opening and overview of challenges by Anima Anandkumar
Saturday December 12, 2015 8:40am - 9:10am EST
513 cd, NonConvexOpt
NonConvexOpt
8:40am EST
Roderich Gross (University of Sheffield)
Saturday December 12, 2015 8:40am - 9:20am EST
511 a, MultiAgent
MultiAgent
8:45am EST
Introduction and opening remarks
Saturday December 12, 2015 8:45am - 8:55am EST
511b, BayesOpt
BayesOpt
8:50am EST
Introductions
Saturday December 12, 2015 8:50am - 9:00am EST
514 a, Personalization
Personalization
8:50am EST
Overview and Workshop Goals
Saturday December 12, 2015 8:50am - 9:00am EST
514 bc, TransferAndMultitask
TransferAndMultitask
8:55am EST
Introduction
Saturday December 12, 2015 8:55am - 9:00am EST
510 db, MLCB
MLCB
9:00am EST
Welcome and introduction. Evelyne Viegas
Saturday December 12, 2015 9:00am - 9:10am EST
512 e, CiML
CiML
9:00am EST
Welcome & Open Remarks
Saturday December 12, 2015 9:00am - 9:10am EST
512 dh, Privacy
Privacy
9:00am EST
Opening Remarks
Saturday December 12, 2015 9:00am - 9:15am EST
512 bf, NetworksInScience
NetworksInScience
9:00am EST
Zoubin Ghahramani
Saturday December 12, 2015 9:00am - 9:25am EST
511b, BayesOpt
BayesOpt
9:00am EST
Jeff Miller
Saturday December 12, 2015 9:00am - 9:30am EST
515 bc, BayesNonparam
BayesNonparam
9:00am EST
Methods overview: Andreas Schaefer, University College London
Saturday December 12, 2015 9:00am - 9:30am EST
511 e, BigNeuro
BigNeuro
9:00am EST
Sourek: Lifted Relational Neural Networks
Saturday December 12, 2015 9:00am - 9:30am EST
512 cg, CognitiveComputation2
CognitiveComputation2
9:00am EST
Nathan Wiebe (Intro to quantum computing)
Saturday December 12, 2015 9:00am - 9:30am EST
512 a, QuantumML
QuantumML
9:00am EST
Trevor Darrell
Saturday December 12, 2015 9:00am - 9:30am EST
514 bc, TransferAndMultitask
TransferAndMultitask
9:00am EST
Random sampling of bandlimited signals on graphs, Pierre Vandergheynst
Saturday December 12, 2015 9:00am - 9:40am EST
511 c, Multiresolution
Multiresolution
9:00am EST
Adventures on the efficient frontier by Andrew Gelman (Columbia University)
Saturday December 12, 2015 9:00am - 9:40am EST
513 ab, ScalableMC
ScalableMC
9:00am EST
Brendan Frey. Learning deep biological architectures for genomic medicine.
Saturday December 12, 2015 9:00am - 9:45am EST
510 db, MLCB
MLCB
9:00am EST
Michael Littman, Brown University: 'Reinforcement Learning from users: New algorithms and frameworks'
Saturday December 12, 2015 9:00am - 9:45am EST
514 a, Personalization
Personalization
9:00am EST
John Anderson - The Sequential Structure of Thought
Saturday December 12, 2015 9:00am - 10:00am EST
515 a, Neuroimaging2
Neuroimaging2
9:05am EST
From Attention to Memory and towards Longer-Term Dependencies, Yoshua Bengio (Invited)
Saturday December 12, 2015 9:05am - 9:40am EST
510 ac, RAM
RAM
9:10am EST
Discussion
Saturday December 12, 2015 9:10am - 9:20am EST
511 d, MLSys
MLSys
9:10am EST
Zenna Tavares
Saturday December 12, 2015 9:10am - 9:30am EST
513 ef, BlackBox
BlackBox
9:10am EST
Paul Mineiro (Microsoft) Eigenpartition Trees for Extreme Classification
Saturday December 12, 2015 9:10am - 9:40am EST
511 f, Extreme
Extreme
9:10am EST
Yann LeCun
Saturday December 12, 2015 9:10am - 9:40am EST
513 cd, NonConvexOpt
NonConvexOpt
9:10am EST
Challenges in Medical Image Analysis: Comparison, Competition, Collaboration, Bram van Ginneken
Saturday December 12, 2015 9:10am - 9:50am EST
512 e, CiML
CiML
9:10am EST
Invited Speaker: Kamalika Chaudhuri
Saturday December 12, 2015 9:10am - 10:00am EST
512 dh, Privacy
Privacy
9:15am EST
Jon Kleinberg
Saturday December 12, 2015 9:15am - 10:00am EST
512 bf, NetworksInScience
NetworksInScience
9:20am EST
Contributed Spotlights
Saturday December 12, 2015 9:20am - 10:00am EST
511 d, MLSys
MLSys
9:20am EST
Karl Tuyls (University of Liverpool)
Saturday December 12, 2015 9:20am - 10:00am EST
511 a, MultiAgent
MultiAgent
9:30am EST
Contributed: Diana Cai
Saturday December 12, 2015 9:30am - 9:45am EST
515 bc, BayesNonparam
BayesNonparam
9:30am EST
Andreas Krause
Saturday December 12, 2015 9:30am - 9:55am EST
511b, BayesOpt
BayesOpt
9:30am EST
Computational discussant: Konrad Kording, Northwestern University
Saturday December 12, 2015 9:30am - 10:00am EST
511 e, BigNeuro
BigNeuro
9:30am EST
Poster Spotlights
Saturday December 12, 2015 9:30am - 10:00am EST
513 ef, BlackBox
BlackBox
9:30am EST
Garcez : Relational Knowledge Extraction from Neural Networks
Saturday December 12, 2015 9:30am - 10:00am EST
512 cg, CognitiveComputation2
CognitiveComputation2
9:30am EST
Seth Lloyd (Intro to quantum machine learning)
Saturday December 12, 2015 9:30am - 10:00am EST
512 a, QuantumML
QuantumML
9:30am EST
Massimiliano Pontil
Saturday December 12, 2015 9:30am - 10:00am EST
514 bc, TransferAndMultitask
TransferAndMultitask
9:40am EST
Poster spotlights 1
Saturday December 12, 2015 9:40am - 10:00am EST
513 cd, NonConvexOpt
NonConvexOpt
9:40am EST
Generating Images from Captions with Attention, Elman Mansimov (Contributed)
Saturday December 12, 2015 9:40am - 10:00am EST
510 ac, RAM
RAM
9:40am EST
Panel discussion with Samy, Yiming & Paul chaired by John Langford
Saturday December 12, 2015 9:40am - 10:10am EST
511 f, Extreme
Extreme
9:40am EST
Multiresolution Matrix Factorization, Risi Kondor
Saturday December 12, 2015 9:40am - 10:10am EST
511 c, Multiresolution
Multiresolution
9:40am EST
A framework for devising stochastic gradient MCMC algorithms by Emily Fox (University of Washington)
Saturday December 12, 2015 9:40am - 10:20am EST
513 ab, ScalableMC
ScalableMC
9:45am EST
Contributed: Victor Veitch
Saturday December 12, 2015 9:45am - 10:00am EST
515 bc, BayesNonparam
BayesNonparam
9:45am EST
Christof Angermueller. Multi-task deep neural network to predict CpG methylation profiles from low-coverage sequencing data.
Saturday December 12, 2015 9:45am - 10:05am EST
510 db, MLCB
MLCB
10:00am EST
Contributed - Stefano Fusi - Estimating the dimensionality of neural responses with fMRI Repetition Suppression
Saturday December 12, 2015 10:00am - 10:30am EST
515 a, Neuroimaging2
Neuroimaging2
10:00am EST
Posters
Saturday December 12, 2015 10:00am - 11:20am EST
511 d, MLSys
MLSys
10:05am EST
Melanie F. Pradier. Large-Scale Sentence Clustering from Electronic Health Records for Genetic Associations in Cancer.
Saturday December 12, 2015 10:05am - 10:10am EST
510 db, MLCB
MLCB
10:10am EST
Oren Kraus. Classifying Microscopy Images Using Convolutional Multiple Instance Learning.
Saturday December 12, 2015 10:10am - 10:15am EST
510 db, MLCB
MLCB
10:20am EST
Methods overview: Narayanan Kasthuri, Argonne National Lab, U Chicago
Saturday December 12, 2015 10:20am - 10:50am EST
511 e, BigNeuro
BigNeuro
10:20am EST
Techniques and Technologies for Efficient and Realistic Benchmarks: Examples from the MediaEval Multimedia Benchmark and CLEF NewsREEL, Martha Larson
Saturday December 12, 2015 10:20am - 11:00am EST
512 e, CiML
CiML
10:30am EST
David Kelley. Basset: Learning the regulatory code of the accessible genome with deep convolutional neural networks
Saturday December 12, 2015 10:30am - 10:50am EST
510 db, MLCB
MLCB
10:30am EST
Frank Hutter
Saturday December 12, 2015 10:30am - 10:55am EST
511b, BayesOpt
BayesOpt
10:30am EST
Koray Kavukcuoglu
Saturday December 12, 2015 10:30am - 10:55am EST
513 ef, BlackBox
BlackBox
10:30am EST
Mike Hughes
Saturday December 12, 2015 10:30am - 11:00am EST
515 bc, BayesNonparam
BayesNonparam
10:30am EST
Daniel L. Silver
Saturday December 12, 2015 10:30am - 11:00am EST
512 cg, CognitiveComputation2
CognitiveComputation2
10:30am EST
Marius Kloft (HU Berlin) Multi-class SVMs: From Tighter Data-Dependent Generalization Bounds to Novel Algorithms
Saturday December 12, 2015 10:30am - 11:00am EST
511 f, Extreme
Extreme
10:30am EST
Beyond Nodes and Edges: Multiresolution Models of Complex Networks, Jure Leskovec
Saturday December 12, 2015 10:30am - 11:00am EST
511 c, Multiresolution
Multiresolution
10:30am EST
Greg Valiant
Saturday December 12, 2015 10:30am - 11:00am EST
513 cd, NonConvexOpt
NonConvexOpt
10:30am EST
Mehryar Mohri
Saturday December 12, 2015 10:30am - 11:00am EST
514 bc, TransferAndMultitask
TransferAndMultitask
10:30am EST
Alex Graves, Google Deepmind (Invited)
Saturday December 12, 2015 10:30am - 11:05am EST
510 ac, RAM
RAM
10:30am EST
Michael L. Littman (Brown University)
Saturday December 12, 2015 10:30am - 11:10am EST
511 a, MultiAgent
MultiAgent
10:30am EST
Invited Speaker: Nando de Freitas
Saturday December 12, 2015 10:30am - 11:10am EST
512 dh, Privacy
Privacy
10:30am EST
Ashish Kapoor (Quantum Deep Learning)
Saturday December 12, 2015 10:30am - 11:10am EST
512 a, QuantumML
QuantumML
10:30am EST
Poster spotlight session
Saturday December 12, 2015 10:30am - 11:15am EST
512 bf, NetworksInScience
NetworksInScience
10:30am EST
Jerry Zhu, University of Wisconsin Madison: 'Machine Teaching for Personalized Education, Security, Interactive Machine Learning'
Saturday December 12, 2015 10:30am - 11:15am EST
514 a, Personalization
Personalization
10:50am EST
Viivi Halla-Aho. A probabilistic method for quantifying chromatin interactions
Saturday December 12, 2015 10:50am - 11:10am EST
510 db, MLCB
MLCB
10:50am EST
Computational discussant: Randal Burns, Johns Hopkins University
Saturday December 12, 2015 10:50am - 11:20am EST
511 e, BigNeuro
BigNeuro
10:50am EST
Improving the performance of MCMC by breaking detailed balance, Andrew Duncan (Imperial College London)
Saturday December 12, 2015 10:50am - 11:30am EST
513 ab, ScalableMC
ScalableMC
10:55am EST
Languages Spotlights
Saturday December 12, 2015 10:55am - 11:45am EST
513 ef, BlackBox
BlackBox
11:00am EST
Poster spotlights 2
Saturday December 12, 2015 11:00am - 11:20am EST
513 cd, NonConvexOpt
NonConvexOpt
11:00am EST
Poster spotlights
Saturday December 12, 2015 11:00am - 11:25am EST
511b, BayesOpt
BayesOpt
11:00am EST
Poster Spotlights
Saturday December 12, 2015 11:00am - 11:30am EST
515 bc, BayesNonparam
BayesNonparam
11:00am EST
Michael Witbrock
Saturday December 12, 2015 11:00am - 11:30am EST
512 cg, CognitiveComputation2
CognitiveComputation2
11:00am EST
Krzysztof Dembczynski (UT Poznan) Extreme F-measure Maximization
Saturday December 12, 2015 11:00am - 11:30am EST
511 f, Extreme
Extreme
11:00am EST
Challenges in Multiresolution Methods for Graph-based Learning, Michael W. Mahoney
Saturday December 12, 2015 11:00am - 11:30am EST
511 c, Multiresolution
Multiresolution
11:00am EST
Contributed - Dirk Walther - A Bayesian Test for Comparing Classifier Errors
Saturday December 12, 2015 11:00am - 11:30am EST
515 a, Neuroimaging2
Neuroimaging2
11:00am EST
Discussion: Open Innovation
Saturday December 12, 2015 11:00am - 12:00pm EST
512 e, CiML
CiML
11:05am EST
Exploiting cognitive constraints to improve machine-learning memory models, Mike Mozer (Invited)
Saturday December 12, 2015 11:05am - 11:40am EST
510 ac, RAM
RAM
11:10am EST
Scott Lundberg. ChromNet: Learning the chromatin network from all ENCODE data.
Saturday December 12, 2015 11:10am - 11:30am EST
510 db, MLCB
MLCB
11:10am EST
Contributed talk (Diederik M. Roijers)
Saturday December 12, 2015 11:10am - 11:30am EST
511 a, MultiAgent
MultiAgent
11:10am EST
Cyril Stark (Quantum models for non-physical data at the example of item recommendation)
Saturday December 12, 2015 11:10am - 11:50am EST
512 a, QuantumML
QuantumML
11:10am EST
Papers Session: privacy
Saturday December 12, 2015 11:10am - 12:10pm EST
512 dh, Privacy
Privacy
11:15am EST
Hoang M. Le, Yisong Yue, & Peter Carr. 'Smooth Imitation Learning.'
Saturday December 12, 2015 11:15am - 11:30am EST
514 a, Personalization
Personalization
11:15am EST
Poster session
Saturday December 12, 2015 11:15am - 12:30pm EST
512 bf, NetworksInScience
NetworksInScience
11:20am EST
Methods overview: Karl Deisseroth, Stanford University
Saturday December 12, 2015 11:20am - 11:50am EST
511 e, BigNeuro
BigNeuro
11:20am EST
Invited Talk: Joey Gonzalez
Saturday December 12, 2015 11:20am - 11:50am EST
511 d, MLSys
MLSys
11:20am EST
Posters
Saturday December 12, 2015 11:20am - 12:00pm EST
513 cd, NonConvexOpt
NonConvexOpt
11:30am EST
Mohammad Javad Hosseini. Learning Gaussian Graphical Models with Overlapping Blocks.
Saturday December 12, 2015 11:30am - 11:35am EST
510 db, MLCB
MLCB
11:30am EST
Deep Convolutional Nets as a Multi-Scale Matrix Mixture Factorization, Ankit B. Patel
Saturday December 12, 2015 11:30am - 11:50am EST
511 c, Multiresolution
Multiresolution
11:30am EST
Poster session
Saturday December 12, 2015 11:30am - 11:55am EST
511b, BayesOpt
BayesOpt
11:30am EST
Discussion, Q&A, etc.
Saturday December 12, 2015 11:30am - 12:00pm EST
512 cg, CognitiveComputation2
CognitiveComputation2
11:30am EST
Ohad Shamir (Weizmann Inst.) Multiclass-Multilabel Classification with More Classes than Examples
Saturday December 12, 2015 11:30am - 12:00pm EST
511 f, Extreme
Extreme
11:30am EST
Poster session 1
Saturday December 12, 2015 11:30am - 12:00pm EST
511 a, MultiAgent
MultiAgent
11:30am EST
Poster highlights/Start of poster session 2
Saturday December 12, 2015 11:30am - 12:00pm EST
515 a, Neuroimaging2
Neuroimaging2
11:30am EST
Yoshua Bengio
Saturday December 12, 2015 11:30am - 12:00pm EST
514 bc, TransferAndMultitask
TransferAndMultitask
11:30am EST
Accelerating exact MCMC with subsets of data by Ryan Adams (Harvard University)
Saturday December 12, 2015 11:30am - 12:10pm EST
513 ab, ScalableMC
ScalableMC
11:30am EST
Panel Discussion
Saturday December 12, 2015 11:30am - 1:00pm EST
515 bc, BayesNonparam
BayesNonparam
11:35am EST
Felipe Llinares-Lopez. Detecting significant higher-order associations between genotype and phenotype while conditioning on covariates.
Saturday December 12, 2015 11:35am - 11:40am EST
510 db, MLCB
MLCB
11:40am EST
Antti Honkela. Genome-wide modelling of transcription kinetics reveals patterns of RNA production delays.
Saturday December 12, 2015 11:40am - 11:45am EST
510 db, MLCB
MLCB
11:40am EST
Structured Memory for Neural Turing Machinesî Wei Zhang, Yang Yu, Bowen Zhou (IBM Watson) (Contributed)
Saturday December 12, 2015 11:40am - 12:00pm EST
510 ac, RAM
RAM
11:45am EST
Victoria Hore. Tensor decomposition and causal inference for multi-tissue gene expression experiments.
Saturday December 12, 2015 11:45am - 11:50am EST
510 db, MLCB
MLCB
11:45am EST
Languages Panel Discussion
Saturday December 12, 2015 11:45am - 12:30pm EST
513 ef, BlackBox
BlackBox
11:50am EST
Aziz M. Mezlini. Disease mechanism discovery by integrating exome and gene expression datasets in one graphical model of disease.
Saturday December 12, 2015 11:50am - 11:55am EST
510 db, MLCB
MLCB
11:50am EST
Discussion
Saturday December 12, 2015 11:50am - 12:00pm EST
511 d, MLSys
MLSys
11:50am EST
Hierarchical Decomposition of Kernel Matrices, William B. March
Saturday December 12, 2015 11:50am - 12:10pm EST
511 c, Multiresolution
Multiresolution
11:50am EST
Computational discussant: Guillermo Sapiro, Duke University
Saturday December 12, 2015 11:50am - 12:20pm EST
511 e, BigNeuro
BigNeuro
11:50am EST
Patrick Rebentrost (TBA)
Saturday December 12, 2015 11:50am - 12:30pm EST
512 a, QuantumML
QuantumML
12:00pm EST
Poster Spotlights
Saturday December 12, 2015 12:00pm - 12:15pm EST
512 cg, CognitiveComputation2
CognitiveComputation2
12:00pm EST
Towards Neural Network-based Reasoning, Baolin Peng, (Contributed)
Saturday December 12, 2015 12:00pm - 12:20pm EST
510 ac, RAM
RAM
12:00pm EST
Panel discussion with Marius, Krzysztof and Mehryar Mohri chaired by Prateek Jain
Saturday December 12, 2015 12:00pm - 12:30pm EST
511 f, Extreme
Extreme
12:00pm EST
Poster session
Saturday December 12, 2015 12:00pm - 2:30pm EST
510 db, MLCB
MLCB
12:20pm EST
Learning to learn neural networks, Tom Bosc, Inria.
Saturday December 12, 2015 12:20pm - 12:25pm EST
510 ac, RAM
RAM
12:20pm EST
Poster Spotlights
Saturday December 12, 2015 12:20pm - 12:30pm EST
511 e, BigNeuro
BigNeuro
12:25pm EST
Evolving Neural Turing Machines, Rasmus Boll Greve
Saturday December 12, 2015 12:25pm - 12:30pm EST
510 ac, RAM
RAM
12:30pm EST
Vasil Denchev (Totally Corrective Boosting with Cardinality Penalization)
Saturday December 12, 2015 12:30pm - 12:45pm EST
512 a, QuantumML
QuantumML
12:30pm EST
Presentation of the AutoML challenge. Isabelle Guyon
Saturday December 12, 2015 12:30pm - 1:00pm EST
512 e, CiML
CiML
12:45pm EST
Luca Rossi (Quantum-Inspired Graph Matching)
Saturday December 12, 2015 12:45pm - 1:00pm EST
512 a, QuantumML
QuantumML
1:00pm EST
Automated Machine Learning: Successes & Challenges. Frank Hutter
Saturday December 12, 2015 1:00pm - 1:30pm EST
512 e, CiML
CiML
1:00pm EST
Poster Session
Saturday December 12, 2015 1:00pm - 2:00pm EST
511 e, BigNeuro
BigNeuro
1:30pm EST
Sensible allocation of computation for ensemble construction. James Lloyd
Saturday December 12, 2015 1:30pm - 2:00pm EST
512 e, CiML
CiML
1:30pm EST
John Langford, Microsoft Research: 'An Interactive Learning Platform for Making Decisions'
Saturday December 12, 2015 1:30pm - 2:15pm EST
514 a, Personalization
Personalization
2:00pm EST
Multigrid-inspired Methods for Networks, lya Safro
Saturday December 12, 2015 2:00pm - 2:30pm EST
511 c, Multiresolution
Multiresolution
2:00pm EST
Alex Szalay, Johns Hopkins University
Saturday December 12, 2015 2:00pm - 2:40pm EST
511 e, BigNeuro
BigNeuro
2:00pm EST
Scaling and generalizing variational inference by David Blei (Columbia University)
Saturday December 12, 2015 2:00pm - 2:40pm EST
513 ab, ScalableMC
ScalableMC
2:00pm EST
Scalable ensemble learning with stochastic feature boosting. Eugene Tuv
Saturday December 12, 2015 2:00pm - 3:00pm EST
512 e, CiML
CiML
2:15pm EST
Neil Heffernan, Worcester Polytechnic Institute: 'Enabling real-time evaluation of crowdsourced machine learning algorithms: Experimentation and Personalization in math problems on ASSISTments.org'
Saturday December 12, 2015 2:15pm - 2:45pm EST
514 a, Personalization
Personalization
2:15pm EST
Poster Session (2)
Saturday December 12, 2015 2:15pm - 3:30pm EST
512 cg, CognitiveComputation2
CognitiveComputation2
2:30pm EST
Durk Kingma
Saturday December 12, 2015 2:30pm - 2:52pm EST
513 ef, BlackBox
BlackBox
2:30pm EST
Jeff Schneider
Saturday December 12, 2015 2:30pm - 2:55pm EST
511b, BayesOpt
BayesOpt
2:30pm EST
Asela Gunawardana (Microsoft) Evaluating Machine Learned User Experiences
Saturday December 12, 2015 2:30pm - 3:00pm EST
511 f, Extreme
Extreme
2:30pm EST
Invited Talk: Sarah Bird
Saturday December 12, 2015 2:30pm - 3:00pm EST
511 d, MLSys
MLSys
2:30pm EST
Fast Direct Methods for Gaussian Processes, Michael O'Neil
Saturday December 12, 2015 2:30pm - 3:00pm EST
511 c, Multiresolution
Multiresolution
2:30pm EST
Sanjeev Arora
Saturday December 12, 2015 2:30pm - 3:00pm EST
513 cd, NonConvexOpt
NonConvexOpt
2:30pm EST
Shai Ben-David
Saturday December 12, 2015 2:30pm - 3:00pm EST
514 bc, TransferAndMultitask
TransferAndMultitask
2:30pm EST
Neural Machine Translation: Progress Report and Beyond, Kyunghyun Cho, NYU (Invited)
Saturday December 12, 2015 2:30pm - 3:05pm EST
510 ac, RAM
RAM
2:30pm EST
Michael Bowling (University of Alberta)
Saturday December 12, 2015 2:30pm - 3:10pm EST
511 a, MultiAgent
MultiAgent
2:30pm EST
Daniel Lidar (TBA)
Saturday December 12, 2015 2:30pm - 3:10pm EST
512 a, QuantumML
QuantumML
2:30pm EST
Dana Pe’er - TBD
Saturday December 12, 2015 2:30pm - 3:15pm EST
510 db, MLCB
MLCB
2:30pm EST
Invited Speaker: Wendy Cho
Saturday December 12, 2015 2:30pm - 3:20pm EST
512 dh, Privacy
Privacy
2:30pm EST
Poster Session
Saturday December 12, 2015 2:30pm - 3:30pm EST
515 bc, BayesNonparam
BayesNonparam
2:30pm EST
Invited talk: Cheryl Corcoran
Saturday December 12, 2015 2:30pm - 3:30pm EST
515 a, Neuroimaging2
Neuroimaging2
2:40pm EST
Discussion with Alex
Saturday December 12, 2015 2:40pm - 3:00pm EST
511 e, BigNeuro
BigNeuro
2:40pm EST
panel
Saturday December 12, 2015 2:40pm - 3:30pm EST
513 ab, ScalableMC
ScalableMC
2:52pm EST
Alp Kucukelbir
Saturday December 12, 2015 2:52pm - 3:15pm EST
513 ef, BlackBox
BlackBox
3:00pm EST
Discussion
Saturday December 12, 2015 3:00pm - 3:10pm EST
511 d, MLSys
MLSys
3:00pm EST
Approximating Gaussian Processes with H^2 Matrices, Steffen Börm
Saturday December 12, 2015 3:00pm - 3:20pm EST
511 c, Multiresolution
Multiresolution
3:00pm EST
Marc Deisenroth
Saturday December 12, 2015 3:00pm - 3:25pm EST
511b, BayesOpt
BayesOpt
3:00pm EST
Noam Koenigstein (Microsoft) Implicit Feedback and Performance Evaluation in Recommender Systems
Saturday December 12, 2015 3:00pm - 3:30pm EST
511 f, Extreme
Extreme
3:00pm EST
Hossein Mobahi
Saturday December 12, 2015 3:00pm - 3:30pm EST
513 cd, NonConvexOpt
NonConvexOpt
3:00pm EST
Ruslan Salakhutdinov
Saturday December 12, 2015 3:00pm - 3:30pm EST
514 bc, TransferAndMultitask
TransferAndMultitask
3:00pm EST
Lessons Learned from the PASCAL VOC Challenges, and Improving the Data Analytics Process, Chris Williams
Saturday December 12, 2015 3:00pm - 3:40pm EST
512 e, CiML
CiML
3:00pm EST
Emily Fox
Saturday December 12, 2015 3:00pm - 3:45pm EST
512 bf, NetworksInScience
NetworksInScience
3:00pm EST
David Woodruff, IBM Almaden
Saturday December 12, 2015 3:00pm - 4:00pm EST
511 e, BigNeuro
BigNeuro
3:00pm EST
Spotlights & Posters
Saturday December 12, 2015 3:00pm - 4:00pm EST
514 a, Personalization
Personalization
3:05pm EST
Sleep, learning and memory: optimal inference in the prefrontal cortex, Adrien Peyrache, NYU (Invited)
Saturday December 12, 2015 3:05pm - 3:40pm EST
510 ac, RAM
RAM
3:10pm EST
Contributed talk (Miao Liu)
Saturday December 12, 2015 3:10pm - 3:30pm EST
511 a, MultiAgent
MultiAgent
3:10pm EST
Steven Adachi (Application of quantum annealing to Training of Deep Neural Networks)
Saturday December 12, 2015 3:10pm - 3:35pm EST
512 a, QuantumML
QuantumML
3:10pm EST
Invited Talk: Mathias Brandewinder
Saturday December 12, 2015 3:10pm - 3:40pm EST
511 d, MLSys
MLSys
3:15pm EST
Kieran Campbell. Bayesian Gaussian Process latent variable models for pseudotime inference in single-cell RNA-seq data.
Saturday December 12, 2015 3:15pm - 3:35pm EST
510 db, MLCB
MLCB
3:15pm EST
Dustin Tran
Saturday December 12, 2015 3:15pm - 3:37pm EST
513 ef, BlackBox
BlackBox
3:20pm EST
A Multiresolution Approach for Tensor Factorization, Kunil Srivastava
Saturday December 12, 2015 3:20pm - 3:40pm EST
511 c, Multiresolution
Multiresolution
3:20pm EST
Papers Session: weakly-supervised learning
Saturday December 12, 2015 3:20pm - 4:00pm EST
512 dh, Privacy
Privacy
3:30pm EST
Contributed talk (Charles J. M. Mathy)
Saturday December 12, 2015 3:30pm - 3:50pm EST
511 a, MultiAgent
MultiAgent
3:30pm EST
Poster session
Saturday December 12, 2015 3:30pm - 3:55pm EST
511b, BayesOpt
BayesOpt
3:30pm EST
Sara Wade
Saturday December 12, 2015 3:30pm - 4:00pm EST
515 bc, BayesNonparam
BayesNonparam
3:30pm EST
Van der Velde: Combinatorial structures and processing in Neural Blackboard Architectures
Saturday December 12, 2015 3:30pm - 4:00pm EST
512 cg, CognitiveComputation2
CognitiveComputation2
3:30pm EST
Panel discussion with Asela, Noam, Armand Joulin and Patrice Simard chaired by Manik Varma
Saturday December 12, 2015 3:30pm - 4:00pm EST
511 f, Extreme
Extreme
3:30pm EST
Contributed - Sami Remes - Classification of weak multi-view signals by sharing factors in a mixture of Bayesian group factor analyzers
Saturday December 12, 2015 3:30pm - 4:00pm EST
515 a, Neuroimaging2
Neuroimaging2
3:30pm EST
Andrew Barron
Saturday December 12, 2015 3:30pm - 4:00pm EST
513 cd, NonConvexOpt
NonConvexOpt
3:30pm EST
Spotlight of Posters
Saturday December 12, 2015 3:30pm - 4:00pm EST
514 bc, TransferAndMultitask
TransferAndMultitask
3:35pm EST
Javier Gonzalez. In Silico Design of Synthetic Genes for Total Cell Translation Control: a Multi-output Gaussian Processes approach.
Saturday December 12, 2015 3:35pm - 3:55pm EST
510 db, MLCB
MLCB
3:35pm EST
Alejandro Perdomo (Estimation of effective temperatures in a quantum annealer and its impact in sampling applications: A case study towards deep learning).
Saturday December 12, 2015 3:35pm - 4:00pm EST
512 a, QuantumML
QuantumML
3:37pm EST
Jan-Willem van de Meent
Saturday December 12, 2015 3:37pm - 4:00pm EST
513 ef, BlackBox
BlackBox
3:40pm EST
Discussion
Saturday December 12, 2015 3:40pm - 3:50pm EST
511 d, MLSys
MLSys
3:40pm EST
Multiresolution analysis for the statistical analysis of incomplete rankings, Eric Sibony
Saturday December 12, 2015 3:40pm - 4:00pm EST
511 c, Multiresolution
Multiresolution
3:40pm EST
Dynamic Memory Networks for Natural Language Processing, Ankit Kumar (Contributed)
Saturday December 12, 2015 3:40pm - 4:00pm EST
510 ac, RAM
RAM
3:40pm EST
Discussion: Coopetitions
Saturday December 12, 2015 3:40pm - 4:40pm EST
512 e, CiML
CiML
3:45pm EST
Hanna Wallach
Saturday December 12, 2015 3:45pm - 4:30pm EST
512 bf, NetworksInScience
NetworksInScience
3:50pm EST
Poster session 2
Saturday December 12, 2015 3:50pm - 4:00pm EST
511 a, MultiAgent
MultiAgent
3:50pm EST
Posters
Saturday December 12, 2015 3:50pm - 4:30pm EST
511 d, MLSys
MLSys
4:00pm EST
Contributed: Balaji Lakshminarayanan
Saturday December 12, 2015 4:00pm - 4:15pm EST
515 bc, BayesNonparam
BayesNonparam
4:00pm EST
Neural Models for Simple Algorithmic Games, Sainbayar Sukhbaatar (Contributed)
Saturday December 12, 2015 4:00pm - 4:20pm EST
510 ac, RAM
RAM
4:00pm EST
Paul Smolensky
Saturday December 12, 2015 4:00pm - 4:30pm EST
512 cg, CognitiveComputation2
CognitiveComputation2
4:00pm EST
Continuation of poster session 2
Saturday December 12, 2015 4:00pm - 4:30pm EST
515 a, Neuroimaging2
Neuroimaging2
4:00pm EST
Posters session
Saturday December 12, 2015 4:00pm - 4:30pm EST
512 dh, Privacy
Privacy
4:00pm EST
Kernel methods for adaptive Markov Chain Monte Carlo by Arthur Gretton (University College London)
Saturday December 12, 2015 4:00pm - 4:40pm EST
513 ab, ScalableMC
ScalableMC
4:00pm EST
Poster Session
Saturday December 12, 2015 4:00pm - 5:00pm EST
514 bc, TransferAndMultitask
TransferAndMultitask
4:15pm EST
Contributed: Michael Zhang
Saturday December 12, 2015 4:15pm - 4:30pm EST
515 bc, BayesNonparam
BayesNonparam
4:20pm EST
Chess Q&A : Question Answering on Chess Games, Volkan Cirik
Saturday December 12, 2015 4:20pm - 4:25pm EST
510 ac, RAM
RAM
4:25pm EST
Considerations for Evaluating Models of Language Understanding and Reasoning, Gabriel Recchia
Saturday December 12, 2015 4:25pm - 4:30pm EST
510 ac, RAM
RAM
4:30pm EST
Matt Hoffman
Saturday December 12, 2015 4:30pm - 4:55pm EST
511b, BayesOpt
BayesOpt
4:30pm EST
Charles Elkan (Amazon/UCSD) Massive Sparse Multilabel Learning
Saturday December 12, 2015 4:30pm - 5:00pm EST
511 f, Extreme
Extreme
4:30pm EST
Invited Talk: Roxana Geambasu
Saturday December 12, 2015 4:30pm - 5:00pm EST
511 d, MLSys
MLSys
4:30pm EST
Francis Bach
Saturday December 12, 2015 4:30pm - 5:00pm EST
511 c, Multiresolution
Multiresolution
4:30pm EST
Chris Re
Saturday December 12, 2015 4:30pm - 5:00pm EST
513 cd, NonConvexOpt
NonConvexOpt
4:30pm EST
Ruslan Salakutdinov
Saturday December 12, 2015 4:30pm - 5:10pm EST
513 ef, BlackBox
BlackBox
4:30pm EST
Frans Oliehoek (University of Amsterdam)
Saturday December 12, 2015 4:30pm - 5:10pm EST
511 a, MultiAgent
MultiAgent
4:30pm EST
Mohammad Amin (Quantum Boltzmann Machine)
Saturday December 12, 2015 4:30pm - 5:10pm EST
512 a, QuantumML
QuantumML
4:30pm EST
Matthew Stephens - TBD
Saturday December 12, 2015 4:30pm - 5:15pm EST
510 db, MLCB
MLCB
4:30pm EST
Ambuj Tewari, Huitian Lei, & Susan Murphy. University of Michigan. 'From Ads to Interventions: Contextual Bandit Algorithms for Mobile Health'. (NIH application to 'Heartsteps')
Saturday December 12, 2015 4:30pm - 5:15pm EST
514 a, Personalization
Personalization
4:30pm EST
Invited Speaker: Max Ott
Saturday December 12, 2015 4:30pm - 5:20pm EST
512 dh, Privacy
Privacy
4:30pm EST
Richard G. Baraniuk, Rice University
Saturday December 12, 2015 4:30pm - 5:30pm EST
511 e, BigNeuro
BigNeuro
4:30pm EST
Tom Mitchell
Saturday December 12, 2015 4:30pm - 5:30pm EST
515 a, Neuroimaging2
Neuroimaging2
4:40pm EST
Forest resampling for distributed sequential Monte Carlo by Anthony Lee (University of Warwick)
Saturday December 12, 2015 4:40pm - 5:20pm EST
513 ab, ScalableMC
ScalableMC
5:00pm EST
Discussion
Saturday December 12, 2015 5:00pm - 5:10pm EST
511 d, MLSys
MLSys
5:00pm EST
Amr Ahmed
Saturday December 12, 2015 5:00pm - 5:30pm EST
515 bc, BayesNonparam
BayesNonparam
5:00pm EST
Academic Torrents: Scalable Data Distribution, Henry Z. Lo
Saturday December 12, 2015 5:00pm - 5:30pm EST
512 e, CiML
CiML
5:00pm EST
Gary F. Marcus
Saturday December 12, 2015 5:00pm - 5:30pm EST
512 cg, CognitiveComputation2
CognitiveComputation2
5:00pm EST
David Belanger (UMass) Scaling up Multilabel Classification using Structured Prediction Energy Networks
Saturday December 12, 2015 5:00pm - 5:30pm EST
511 f, Extreme
Extreme
5:00pm EST
Scaling Phenomena in Stochastic Topology, Sayan Mukherjee
Saturday December 12, 2015 5:00pm - 5:30pm EST
511 c, Multiresolution
Multiresolution
5:00pm EST
Kevin Chen
Saturday December 12, 2015 5:00pm - 5:30pm EST
513 cd, NonConvexOpt
NonConvexOpt
5:00pm EST
Percy Liang
Saturday December 12, 2015 5:00pm - 5:30pm EST
514 bc, TransferAndMultitask
TransferAndMultitask
5:00pm EST
A Roadmap towards Machine Intelligence, Tomas Mikolov, Facebook AI Research (Invited)
Saturday December 12, 2015 5:00pm - 5:35pm EST
510 ac, RAM
RAM
5:00pm EST
Deepak Agarwal
Saturday December 12, 2015 5:00pm - 5:45pm EST
512 bf, NetworksInScience
NetworksInScience
5:00pm EST
Panel discussion
Saturday December 12, 2015 5:00pm - 6:00pm EST
511b, BayesOpt
BayesOpt
5:10pm EST
Invited Talk: Alex Smola
Saturday December 12, 2015 5:10pm - 5:40pm EST
511 d, MLSys
MLSys
5:10pm EST
Vito Trianni (National Research Council, Italy)
Saturday December 12, 2015 5:10pm - 5:50pm EST
511 a, MultiAgent
MultiAgent
5:10pm EST
Itay Hen (Fidelity-optimized quantum state estimation)
Saturday December 12, 2015 5:10pm - 5:50pm EST
512 a, QuantumML
QuantumML
5:10pm EST
Closing Panel
Saturday December 12, 2015 5:10pm - 6:00pm EST
513 ef, BlackBox
BlackBox
5:15pm EST
Dinu Kaufmann. Copula Archetypal Analysis
Saturday December 12, 2015 5:15pm - 5:35pm EST
510 db, MLCB
MLCB
5:20pm EST
Panel Discussion
Saturday December 12, 2015 5:20pm - 6:00pm EST
512 dh, Privacy
Privacy
5:30pm EST
Discussion, Q&A, etc.
Saturday December 12, 2015 5:30pm - 5:55pm EST
512 cg, CognitiveComputation2
CognitiveComputation2
5:30pm EST
Isabel Valera
Saturday December 12, 2015 5:30pm - 6:00pm EST
515 bc, BayesNonparam
BayesNonparam
5:30pm EST
Michiel Stock (Ghent) A two-step method to incorporate task features for large output spaces
Saturday December 12, 2015 5:30pm - 6:00pm EST
511 f, Extreme
Extreme
5:30pm EST
Qiang Yang
Saturday December 12, 2015 5:30pm - 6:00pm EST
514 bc, TransferAndMultitask
TransferAndMultitask
5:30pm EST
Open discussion
Saturday December 12, 2015 5:30pm - 6:30pm EST
512 e, CiML
CiML
5:30pm EST
Panel discussion 2 + snacks and drinks + closing remarks
Saturday December 12, 2015 5:30pm - 6:30pm EST
515 a, Neuroimaging2
Neuroimaging2
5:30pm EST
Open problem session + closing remarks
Saturday December 12, 2015 5:30pm - 6:30pm EST
513 cd, NonConvexOpt
NonConvexOpt
5:30pm EST
Panel & Group Discussion on Conclusions & Future Directions. Finale Doshi-Velez, Ambuj Tewari, Joseph Jay Williams, Neil Heffernan
Saturday December 12, 2015 5:30pm - 6:30pm EST
514 a, Personalization
Personalization
5:35pm EST
Adam Arany. Highly Scalable Tensor Factorization for Prediction of Drug-Protein Binding Modes.
Saturday December 12, 2015 5:35pm - 5:55pm EST
510 db, MLCB
MLCB
5:35pm EST
Learning Deep Neural Network Policies with Continuous Memory States, Marvin Zhan (Contributed)
Saturday December 12, 2015 5:35pm - 5:55pm EST
510 ac, RAM
RAM
5:40pm EST
Discussion
Saturday December 12, 2015 5:40pm - 5:50pm EST
511 d, MLSys
MLSys
5:45pm EST
Panel Discussion
Saturday December 12, 2015 5:45pm - 6:00pm EST
512 bf, NetworksInScience
NetworksInScience
5:50pm EST
Invited Talk: Chris Re
Saturday December 12, 2015 5:50pm - 6:20pm EST
511 d, MLSys
MLSys
5:50pm EST
Panel discussion
Saturday December 12, 2015 5:50pm - 6:20pm EST
511 a, MultiAgent
MultiAgent
5:50pm EST
Harmut Neven (Emerging Quantum Processors and why the Machine Learning Community should care)
Saturday December 12, 2015 5:50pm - 6:30pm EST
512 a, QuantumML
QuantumML
5:55pm EST
Closing Words
Saturday December 12, 2015 5:55pm - 6:00pm EST
512 cg, CognitiveComputation2
CognitiveComputation2
5:55pm EST
Tzu-Yu Liu. Prediction of Ribosome Footprint Distributions from Transcript Sequences via Multiresolution Analysis.
Saturday December 12, 2015 5:55pm - 6:15pm EST
510 db, MLCB
MLCB
5:55pm EST
The Neural GPU and the Neural RAM machine, Ilya Sutskever, Google (Invited)
Saturday December 12, 2015 5:55pm - 6:30pm EST
510 ac, RAM
RAM
6:00pm EST
Award Ceremony and Concluding remarks
Saturday December 12, 2015 6:00pm - 6:10pm EST
514 bc, TransferAndMultitask
TransferAndMultitask
6:00pm EST
Scott Moser
Saturday December 12, 2015 6:00pm - 6:30pm EST
515 bc, BayesNonparam
BayesNonparam
6:00pm EST
Panel discussion with Charles, Manik, David and Michiel chaired by Moustapha Cisse
Saturday December 12, 2015 6:00pm - 6:30pm EST
511 f, Extreme
Extreme
6:15pm EST
Conclusion / goodbye / thank you
Saturday December 12, 2015 6:15pm - 6:20pm EST
510 db, MLCB
MLCB
6:20pm EST
Discussion
Saturday December 12, 2015 6:20pm - 6:30pm EST
511 d, MLSys
MLSys
Timezone
NIPS 2015 Workshops
America/New York
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NIPS 2015 Workshops
Dec 11
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12, 2015
Friday
, December 11
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, December 12
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511b, BayesOpt
510 ac, OPT
510 ac, RAM
510 db, MLCB
510 db, MLHC
511 a, ABC
511 a, MultiAgent
511 b, SpokenLanguage
511 c, Multiresolution
511 c, NonParam
511 d, FasterFromEasy
511 d, MLSys
511 e, BigNeuro
511 e, ComplexNetworks
511 f, Extreme
511 f, StatsNeuralSys
512 a, ProbIntegration
512 a, QuantumML
512 bf, Metareasoning
512 bf, NetworksInScience
512 cg, CognitiveComputation1
512 cg, CognitiveComputation2
512 dh, Multimodal
512 dh, Privacy
512 e, CiML
512 e, MLEcom
513 ab, ApproxBayesInf
513 ab, ScalableMC
513 cd, DeepRL
513 cd, NonConvexOpt
513 ef, BlackBox
513 ef, FeatureEx
514 a, AdaptiveDA
514 a, Personalization
514 bc, TimeSeries
514 bc, TransferAndMultitask
515 a, Neuroimaging1
515 a, Neuroimaging2
515 bc, ALEPH
515 bc, BayesNonparam
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Friday
, December 11
Saturday
, December 12
Venue
511b, BayesOpt
510 ac, OPT
510 ac, RAM
510 db, MLCB
510 db, MLHC
511 a, ABC
511 a, MultiAgent
511 b, SpokenLanguage
511 c, Multiresolution
511 c, NonParam
511 d, FasterFromEasy
511 d, MLSys
511 e, BigNeuro
511 e, ComplexNetworks
511 f, Extreme
511 f, StatsNeuralSys
512 a, ProbIntegration
512 a, QuantumML
512 bf, Metareasoning
512 bf, NetworksInScience
512 cg, CognitiveComputation1
512 cg, CognitiveComputation2
512 dh, Multimodal
512 dh, Privacy
512 e, CiML
512 e, MLEcom
513 ab, ApproxBayesInf
513 ab, ScalableMC
513 cd, DeepRL
513 cd, NonConvexOpt
513 ef, BlackBox
513 ef, FeatureEx
514 a, AdaptiveDA
514 a, Personalization
514 bc, TimeSeries
514 bc, TransferAndMultitask
515 a, Neuroimaging1
515 a, Neuroimaging2
515 bc, ALEPH
515 bc, BayesNonparam
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ABC
AdaptiveDA
ALEPH
ApproxBayesInf
BayesNonparam
BayesOpt
BigNeuro
BlackBox
CiML
CognitiveComputation1
CognitiveComputation2
ComplexNetworks
DeepRL
Extreme
FasterFromEasy
FeatureEx
Metareasoning
MLCB
MLEcom
MLHC
MLSys
MultiAgent
Multimodal
Multiresolution
NetworksInScience
Neuroimaging1
Neuroimaging2
NonConvexOpt
NonParam
OPT
Personalization
Privacy
ProbIntegration
QuantumML
RAM
ScalableMC
SpokenLanguage
StatsNeuralSys
TimeSeries
TransferAndMultitask
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