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NIPS 2015 Workshops

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8:00am EST

Introduction 510 db, MLHC

8:15am EST

Opening remarks and welcome 511 f, StatsNeuralSys Integrating Artificial Intelligence into Emergency Care Steven Horng 510 db, MLHC

8:30am EST

Introduction 513 ab, ApproxBayesInf Opening remarks, winner ISBA travel award 511 a, ABC Opening Remarks 512 cg, CognitiveComputation1 Introduction to the workshop 512 bf, Metareasoning Introduction to the 'Flavours of Physics' challenge. Andrey Ustyuzhanin (Yandex) 515 bc, ALEPH Surya Ganguli, Towards a theory of high dimensional, single trial neural data analysis: On the role of random projections and phase transitions 511 f, StatsNeuralSys Jorge Nocedal, An Evolving Gradient Resampling Method 510 ac, OPT

8:35am EST

Rajesh Ranganath: Challenges to variational inference: Optimization, automation, and accuracy 513 ab, ApproxBayesInf

8:40am EST

Introductory remarks 514 a, AdaptiveDA Besold: Neural-symbolic integration: Challenges, promises, perspectives, ideas 512 cg, CognitiveComputation1 Eric Horvitz 512 bf, Metareasoning Mark Beaumont, ABC and Population Genetics: any lessons for big data? 511 a, ABC

8:45am EST

Opening Remarks 511 c, NonParam Opening 511 b, SpokenLanguage Andrea Montanari 'FDR and Online FDR' 514 a, AdaptiveDA Finale Doshi Velez 510 db, MLHC

8:50am EST

Dmitry Storcheus, A Survey of Modern Questions and Challenges in Feature Extraction 513 ef, FeatureEx

9:00am EST

Opening Remarks 512 a, ProbIntegration Opening Remarks 514 bc, TimeSeries Theophane Weber: Reinforced Variational Inference (contributed) 513 ab, ApproxBayesInf Introduction, Multimodal Machine Learning: A Short Survey 512 dh, Multimodal Data Science Competition Platforms. Ben Hamner (Kaggle) 515 bc, ALEPH Pedro Domingos 512 cg, CognitiveComputation1 Bento: Learning Stochastic Differential Equations ‚Äì Fundamental limits and efficient algorithms 511 e, ComplexNetworks Honglak Lee 513 cd, DeepRL Introduction by organizers 511 d, FasterFromEasy Yee Whye Teh (Random Tensor Decompositions for Regression and Collaborative Filtering) 511 c, NonParam Katherine Heller, Translating between human & animal studies via Bayesian multi-task learning 511 f, StatsNeuralSys Supervised learning labels in a fast moving environment, Alessandro Magnani (@WalmartsLab) 512 e, MLEcom Gabriel Kreiman - Visual pattern completion: from neural circuits to computational models 515 a, Neuroimaging1 Keynote (Jason Weston, Facebook AI) 511 b, SpokenLanguage

9:10am EST

Stuart Russell 512 bf, Metareasoning Christian Robert 512 a, ProbIntegration Mehryar Mohri, Courant Inst. and Google Research (invited) 514 bc, TimeSeries

9:15am EST

Nati Srebro 514 a, AdaptiveDA Gourab De 510 db, MLHC Panel: Tricks of the Trade. 513 ab, ApproxBayesInf Fei Sha, Do shallow kernel methods match deep neural networks-and if not, what can the shallow ones learn from the deep ones? 513 ef, FeatureEx Dhruv Batra (Virginia Tech), Visual Question Answering (VQA) 512 dh, Multimodal

9:20am EST

Brandon Turner, Applications of Likelihood-free Bayesian Methods in Cognitive Science 511 a, ABC Data Science at LHCb. Tim Head (EPFL) 515 bc, ALEPH

9:30am EST

Yossi Arjevani, On Lower and Upper Bounds in Smooth and Strongly Convex Optimization 510 ac, OPT Stephen Muggleton 512 cg, CognitiveComputation1 Poster spotlights part I 511 e, ComplexNetworks Juergen Schmidhuber 513 cd, DeepRL Peter Auer 511 d, FasterFromEasy Amr Ahmed 511 c, NonParam Mitya Chklovskii, Similarity matching: A new theory of neural computation 511 f, StatsNeuralSys

9:40am EST

Noah Goodman, Synthesis of the session 512 bf, Metareasoning Fran√ßois-Xavier Briol 512 a, ProbIntegration

9:45am EST

Moritz Hardt, Discussant 514 a, AdaptiveDA Doubly Robust Off-policy Evaluation for Reinforcement Learning, Nan Jiang 512 e, MLEcom Poster session #1 510 db, MLHC

9:50am EST

Isotonic Hawkess Processes (contributed) 514 bc, TimeSeries Posters 510 ac, OPT

10:00am EST

James Y. Zou, Discovering Salient Features via Adaptively Chosen Comparisons 513 ef, FeatureEx Michael Bowling 513 cd, DeepRL Contributed - Brian Helfer - Assessing Functional Neural Connectivity as an Indicator of Cognitive Performance 515 a, Neuroimaging1

10:20am EST

Flavours of Physics challenge: 4th place solution. Michal Wojcik (Avast) 515 bc, ALEPH Panel 1 511 b, SpokenLanguage

10:30am EST

Flavours of Physics challenge: 3d place solution. Josef Slavicek 515 bc, ALEPH Rick Lewis 512 bf, Metareasoning Andrea Montanari: Approximate inference with semidefinite relaxations 513 ab, ApproxBayesInf Cynthia Dwork 514 a, AdaptiveDA Rina Dechter 512 cg, CognitiveComputation1 Macke: Correlations and signatures of criticality in neural population models 511 e, ComplexNetworks Aarti Singh 511 d, FasterFromEasy Fei Sha (Do shallow kernel methods match deep neural networks -- and if not, what can the shallow ones learn from the deep ones?) 511 c, NonParam Arthur Gretton 512 a, ProbIntegration Poster Session 1 511 f, StatsNeuralSys David Nott, Uses of ABC in prior choice and Bayesian model checking 511 a, ABC Michael Mahoney, Column Subset Selection on Terabyte-sized Scientific Data 513 ef, FeatureEx Why would you recommend me THAT!?, Aish Fenton (Netflix) 512 e, MLEcom Accepted orals and spotlights 512 dh, Multimodal Panel discussion: Modern Challenges in Time Series Analysis 514 bc, TimeSeries

10:40am EST

Flavours of Physics challenge: 2nd place solution. Alexander Gramolin (Budker Inst. of Nuclear Physics) 515 bc, ALEPH

10:50am EST

Flavours of Physics challenge: 1st place solution. Alexander Guschin/Vlad Mironov 515 bc, ALEPH

10:55am EST

Rajesh Ranganath: Hierarchical Variational Models (contributed) 513 ab, ApproxBayesInf

11:00am EST

Physics Prize Awards Announcement. Marcin Chrzaszcz (Universitaet Zuerich) 515 bc, ALEPH Henry Brighton 512 bf, Metareasoning Accuracy on the test set is not enough --- the risk of deploying unintelligible models in healthcare. Rich Caruana 510 db, MLHC Jon Ullman 'Barriers to Preventing False Discovery in Interactive Data Analysis' 514 a, AdaptiveDA Josh Tenenbaum 512 cg, CognitiveComputation1 Poster spotlights part II 511 e, ComplexNetworks Vlad Mnih 513 cd, DeepRL Dylan Foster 511 d, FasterFromEasy Poster highlights 515 a, Neuroimaging1 Poster Spotlights 511 c, NonParam Roman Garnett 512 a, ProbIntegration Matthias Bethge, Let's compete - benchmarking models in neuroscience 511 f, StatsNeuralSys

11:10am EST

Poster spotlights 513 ab, ApproxBayesInf Mijung Park, K2-ABC: ABC with Kernel Embeddings 511 a, ABC Open ML problems in High Energy Physics. Daniel Whiteson (UC Irvine) 515 bc, ALEPH

11:15am EST

Conservative Bandits, Roshan Shariff 512 e, MLEcom Le Song, Scalable Kernel Methods for Big Nonlinear Problems 513 ef, FeatureEx Poster session 512 dh, Multimodal

11:20am EST

Poster session 514 bc, TimeSeries

11:30am EST

Dean Foster, Discussant 514 a, AdaptiveDA Attribute Extraction from Noisy Text Using Character-based Sequence Tagging Models, Pallika Kanani 512 e, MLEcom Falk Lieder 512 bf, Metareasoning Discussion, Q&A, etc. 512 cg, CognitiveComputation1 Poster session part I 511 e, ComplexNetworks Gerry Tesauro 513 cd, DeepRL Poster spotlights I 511 d, FasterFromEasy Healthcare challenges #1 510 db, MLHC Poster session 1 515 a, Neuroimaging1 Posters 511 c, NonParam Spotlight talks 512 a, ProbIntegration Yoshua Bengio, Small Steps Towards Biologically Plausible Deep Learning 511 f, StatsNeuralSys Poster session 513 ab, ApproxBayesInf

11:35am EST

Kenji Fukumizu, Kernel Mean Particle Filter with Intractable Likelihoods 511 a, ABC

11:45am EST

Filtering as a Multi-Armed Bandit, Fr√©d√©ric Guillou 512 e, MLEcom

11:50am EST

Pitfalls of evaluating a classifier's performance in high energy physics applications. Tim Head (EPFL) 515 bc, ALEPH Horia Mania, Perturbed Iterate Analysis for Asynchronous Stochastic Optimization 510 ac, OPT Poster Spotlight 511 b, SpokenLanguage

12:00pm EST

Osaro presentation 513 cd, DeepRL Poster Spotlights 512 cg, CognitiveComputation1 Yixuan Li, Convergent Learning: Do different neural networks learn similar features? 513 ef, 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 515 bc, ALEPH

12:10pm EST

Ruoyu Sun, On the Expected Convergence of Randomly Permuted ADMM 510 ac, OPT

12:20pm EST

Poster Session 1 513 ef, FeatureEx

12:45pm EST

Jessica Hamrick 512 bf, Metareasoning

1:15pm EST

Lael Schooler 512 bf, Metareasoning

1:30pm EST

Poster Session 511 b, SpokenLanguage

1:45pm EST

Tom Griffiths, Synthesis of the session 512 bf, Metareasoning

2:00pm EST

Jonathan Cohen 512 bf, Metareasoning Sergey Levine 513 cd, DeepRL Parametrizing classifiers. Balazs Kegl (Linear Accelerator Lab.) 515 bc, ALEPH Building [Machine] Learning Healthcare Systems Nigam Shah 510 db, MLHC

2:15pm EST

Poster Session (1) 512 cg, CognitiveComputation1

2:30pm EST

Veeranjaneyulu Sadhanala (Graph Sparsification Approaches for Laplacian Smoothing, Contributed) 511 c, NonParam Quentin Huys 512 bf, Metareasoning Montanari: Information-theoretic bounds on learning network dynamics 511 e, ComplexNetworks Yoshua Bengio 513 cd, DeepRL Peter Gr√ºnwald 511 d, FasterFromEasy Optimal A-B Testing, Vivek Farias (MIT) 512 e, MLEcom Francis Bach 512 a, ProbIntegration Pulkit Agrawal The Human Visual Hierarchy is Isomorphic to the Hierarchy learned by a Deep Convolutional Neural Network Trained for Object Recognition 511 f, StatsNeuralSys Rob Deardon, ABC-based inference for epidemic models with uncertain underlying contact networks 511 a, ABC Emily Fox, University of Washington (invited) 514 bc, TimeSeries Raymond Mooney (UT Austin), Generating Natural-Language Video Descriptions using LSTM Recurrent Neural Networks 512 dh, Multimodal Mitsuo Kawato - Spectrum of Psychiatric Disorders revealed by Machine Learning Algorithms 515 a, Neuroimaging1 Guanghui Lan, Complexity of composite optimization 510 ac, OPT

2:40pm EST

James Hensman: A framework for variational inference in Gaussian process models 513 ab, ApproxBayesInf Deep Learning RNNaissance. Jurgen Schmidhuber 515 bc, ALEPH

2:45pm EST

Tatsu Hashimoto (Word, Graph, and Manifold Embedding from Markov Processes, Contributed) 511 c, NonParam Rina Foygel Barber 'Leveraging prior information and group structure for false discovery rate control' 514 a, AdaptiveDA Contributed student talks 510 db, MLHC

2:50pm EST

Kilian Weinberger, Deep Manifold Traversal 513 ef, FeatureEx

3:00pm EST

Angela Yu 512 bf, Metareasoning Braunstein: Bayesian inference of cascades on networks 511 e, ComplexNetworks Satyen Kale 511 d, FasterFromEasy Real-time Predictions using Time-series Data, Devavrat Shah (MIT) 512 e, MLEcom Jean-Philippe Vert (Learning from Rankings) 511 c, NonParam David Duvenaud 512 a, ProbIntegration Yann Lecun, Unsupervised Learning (TBA) 511 f, StatsNeuralSys Spotlight talks 513 cd, DeepRL Best 3 paper talks 511 b, SpokenLanguage

3:05pm EST

Daniel Hernandez-Lobato: Stochastic Expectation Propagation for Large Scale Gaussian Process Classification (contributed) 513 ab, ApproxBayesInf

3:10pm EST

Sparse Adaptive Prior for Time Dependent Model Parameters (contributed) 514 bc, TimeSeries Oksana Chkrebtii, Approximate Bayesian Computation for Inference on the Introduction and Spread Patterns of Invasive Species 511 a, ABC

3:15pm EST

Will Fithian 'Optimal Inference After Model Selection' 514 a, AdaptiveDA Li Deng (MSR), Cross-Modality Distant Supervised Learning for Speech, Text, and Image Classification 512 dh, Multimodal

3:20pm EST

Cedric Archambeau: Incremental Variational Inference for Latent Dirichlet Allocation (contributed) 513 ab, ApproxBayesInf

3:25pm EST

Design of Covariance Functions using Inter-Domain Inducing Variables (contributed) 514 bc, TimeSeries

3:30pm EST

Jet Images: Deep Learning Edition. Luke Percival De Oliveira (SLAC National Accelerator Lab.) 515 bc, ALEPH A Ranking Approach to Address the Click Sparsity Problem in Personalized Ad Recommendation, Sougata Chaudhuri 512 e, MLEcom Antoine Bordes 512 cg, CognitiveComputation1 Poster session part II 511 e, ComplexNetworks Poster spotlights II 511 d, FasterFromEasy Contributed - Romy Lorenz - Stopping criteria for boosting automatic experimental design using real-time fMRI with Bayesian optimization 515 a, Neuroimaging1 Michael Mahoney (Using Local Spectral Methods in Theory and in Practice) 511 c, NonParam Max Welling 512 a, ProbIntegration Poster Session 2 511 f, StatsNeuralSys POSTER SESSION 510 ac, OPT

3:35pm EST

Emily Fox: Variational inference for large-scale and streaming sequential data 513 ab, ApproxBayesInf Gregoire Montavon and Wojciech Samek, Explaining individual deep network predictions and measuring the quality of these explanations 513 ef, FeatureEx

3:40pm EST

Markov GP for Scalable Expressive Online Bayessian Nonparametric Time Series Forecasting (contributed) 514 bc, TimeSeries Sam Gershman, Synthesis of the session 512 bf, Metareasoning

3:45pm EST

James Zou, Discussant 514 a, AdaptiveDA Computing Strategic and Interpretable Recommendation Sets, Marek Petrik 512 e, MLEcom Output Correction in HEP using DPGMM. Adil Omari 515 bc, ALEPH

4:00pm EST

Ramanathan V. Guha 512 cg, CognitiveComputation1 Continuation of poster session 1 515 a, Neuroimaging1 Posters 513 cd, DeepRL Poster session 511 d, FasterFromEasy Poster Session #2 510 db, MLHC

4:20pm EST

Panel 2 511 b, SpokenLanguage

4:30pm EST

Stochastically Transitive Models for Pairwise Comparisons: Statistical and Computational Issues, Nihar Shah 512 e, MLEcom Manfred Opper: Approximate inference for Ising models with random couplings 513 ab, ApproxBayesInf Wentao Li, On the Asymptotic Behavior of ABC 511 a, ABC Andrew Gelman 514 a, AdaptiveDA Poster session part III 511 e, ComplexNetworks Francis Bach (Sharp Analysis of Random Feature Expansions) 511 c, NonParam Neil Lawrence, The Mechanistic Fallacy and Modelling how we Think 511 f, StatsNeuralSys An alternative to ABC for likelihood-free inference. Kyle Stuart Cranmer (NYU) 515 bc, ALEPH Panel Discussion 513 ef, FeatureEx Shie Mannor, Technion (invited) 514 bc, TimeSeries Ruslan Salakhutdinov (CMU), Generating Images from Captions with Attention 512 dh, Multimodal Poster Session 512 bf, Metareasoning Sylvain Baillet - Possible mechanisms enabling functional brain connectivity in the resting and active states 515 a, Neuroimaging1 Panel discussion 512 a, ProbIntegration

4:45pm EST

Collaborative Filtering with Stacked Denoising AutoEncoders and Sparse Inputs, Florian Strub 512 e, MLEcom

4:55pm EST

Panel: On the Foundations and Future of Approximate Inference 513 ab, ApproxBayesInf

5:00pm EST

Automatic Layout Element Detection From E-Commerce Pages, Anura Bhardwaj. 512 e, MLEcom Closing Remarks 511 c, NonParam Greg Wayne 512 cg, CognitiveComputation1 Grima: Exact and approximate solutions for spatial stochastic models of chemical system 511 e, ComplexNetworks Martin Riedmiller 513 cd, DeepRL Iain Murray, ABC as Learning 511 a, ABC Gergely Neu 511 d, FasterFromEasy Panel 514 a, AdaptiveDA Panel: Deep Learning and neuroscience: What can brains tell us about massive computing and vice versa? 511 f, StatsNeuralSys

5:10pm EST

Mixing Time Estimation in Reversible Markov Chains from a Single Sample Path (contributed) 514 bc, TimeSeries Artificial Physicists. J Michael Williams (MIT) 515 bc, ALEPH Poster Session 2 513 ef, FeatureEx

5:15pm EST

Cost-sensitive Learning for Bidding in Online Advertising Auctions, Flavian Vasile 512 e, MLEcom Panel Discussion 511 c, NonParam Ji Heng (RPI), Automatic Cross-Media Event Schema Construction and Knowledge Population 512 dh, Multimodal

5:25pm EST

Ramo Gencay, Simon Fraser University (invited) 514 bc, TimeSeries

5:30pm EST

Deep Temporal Features to Predict Repeat Buyers, Pankaj Malhotra 512 e, MLEcom Discussion, Q&A, etc. 512 cg, CognitiveComputation1 Taylor: Learning Multi-scale Temporal Dynamics with Recurrent Neural Networks 511 e, ComplexNetworks Jan Koutnik 513 cd, DeepRL Personalized Mobile Health Interventions Ambuj Tewari 510 db, MLHC Panel Discussion 512 bf, Metareasoning Panel discussion 1 + snacks and drinks 515 a, Neuroimaging1 Elad Hazan, Faster Convex Optimization: Simulated Annealing with an Efficient Universal Barrier 510 ac, OPT

5:45pm EST

Panel discussion 511 d, FasterFromEasy From sale prediction to product recommendation: designing, learning, and evaluating large-scale models at Criteo, Nicolas Le Roux (Criteo) 512 e, MLEcom Poster Session 511 c, NonParam

5:50pm EST

Panel discussion on collaborative research between HEP & ML. Andrey Ustyuzhanin (Yandex) 515 bc, ALEPH

6:00pm EST

Concluding discussion: open questions, promising synergies, roadmap? 511 e, ComplexNetworks Healthcare challenges #2 510 db, MLHC

6:05pm EST

Temporal Regularized Matrix Factorization (contributed) 514 bc, TimeSeries

6:15pm EST

Summary of the workshop, open discussion, concluding remarks 512 bf, Metareasoning