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Welcome and introduction. Evelyne Viegas 512 e, CiML
Welcome & Open Remarks 512 dh, Privacy
Opening Remarks 512 bf, NetworksInScience
Zoubin Ghahramani 511b, BayesOpt
Jeff Miller 515 bc, BayesNonparam
Methods overview: Andreas Schaefer, University College London 511 e, BigNeuro
Sourek: Lifted Relational Neural Networks 512 cg, CognitiveComputation2
Nathan Wiebe (Intro to quantum computing) 512 a, QuantumML
Trevor Darrell 514 bc, TransferAndMultitask
Random sampling of bandlimited signals on graphs, Pierre Vandergheynst 511 c, Multiresolution
Adventures on the efficient frontier by Andrew Gelman (Columbia University) 513 ab, ScalableMC
Brendan Frey. Learning deep biological architectures for genomic medicine. 510 db, MLCB
Michael Littman, Brown University: 'Reinforcement Learning from users: New algorithms and frameworks' 514 a, Personalization
John Anderson - The Sequential Structure of Thought 515 a, Neuroimaging2
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David Kelley. Basset: Learning the regulatory code of the accessible genome with deep convolutional neural networks 510 db, MLCB
Frank Hutter 511b, BayesOpt
Koray Kavukcuoglu 513 ef, BlackBox
Mike Hughes 515 bc, BayesNonparam
Daniel L. Silver 512 cg, CognitiveComputation2
Marius Kloft (HU Berlin) Multi-class SVMs: From Tighter Data-Dependent Generalization Bounds to Novel Algorithms 511 f, Extreme
Beyond Nodes and Edges: Multiresolution Models of Complex Networks, Jure Leskovec 511 c, Multiresolution
Greg Valiant 513 cd, NonConvexOpt
Mehryar Mohri 514 bc, TransferAndMultitask
Alex Graves, Google Deepmind (Invited) 510 ac, RAM
Michael L. Littman (Brown University) 511 a, MultiAgent
Invited Speaker: Nando de Freitas 512 dh, Privacy
Ashish Kapoor (Quantum Deep Learning) 512 a, QuantumML
Poster spotlight session 512 bf, NetworksInScience
Jerry Zhu, University of Wisconsin Madison: 'Machine Teaching for Personalized Education, Security, Interactive Machine Learning' 514 a, Personalization
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Mohammad Javad Hosseini. Learning Gaussian Graphical Models with Overlapping Blocks. 510 db, MLCB
Deep Convolutional Nets as a Multi-Scale Matrix Mixture Factorization, Ankit B. Patel 511 c, Multiresolution
Poster session 511b, BayesOpt
Discussion, Q&A, etc. 512 cg, CognitiveComputation2
Ohad Shamir (Weizmann Inst.) Multiclass-Multilabel Classification with More Classes than Examples 511 f, Extreme
Poster session 1 511 a, MultiAgent
Poster highlights/Start of poster session 2 515 a, Neuroimaging2
Yoshua Bengio 514 bc, TransferAndMultitask
Accelerating exact MCMC with subsets of data by Ryan Adams (Harvard University) 513 ab, ScalableMC
Panel Discussion 515 bc, BayesNonparam
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Durk Kingma 513 ef, BlackBox
Jeff Schneider 511b, BayesOpt
Asela Gunawardana (Microsoft) Evaluating Machine Learned User Experiences 511 f, Extreme
Invited Talk: Sarah Bird 511 d, MLSys
Fast Direct Methods for Gaussian Processes, Michael O'Neil 511 c, Multiresolution
Sanjeev Arora 513 cd, NonConvexOpt
Shai Ben-David 514 bc, TransferAndMultitask
Neural Machine Translation: Progress Report and Beyond, Kyunghyun Cho, NYU (Invited) 510 ac, RAM
Michael Bowling (University of Alberta) 511 a, MultiAgent
Daniel Lidar (TBA) 512 a, QuantumML
Dana Pe’er - TBD 510 db, MLCB
Invited Speaker: Wendy Cho 512 dh, Privacy
Poster Session 515 bc, BayesNonparam
Invited talk: Cheryl Corcoran 515 a, Neuroimaging2
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Discussion 511 d, MLSys
Approximating Gaussian Processes with H^2 Matrices, Steffen Börm 511 c, Multiresolution
Marc Deisenroth 511b, BayesOpt
Noam Koenigstein (Microsoft) Implicit Feedback and Performance Evaluation in Recommender Systems 511 f, Extreme
Hossein Mobahi 513 cd, NonConvexOpt
Ruslan Salakhutdinov 514 bc, TransferAndMultitask
Lessons Learned from the PASCAL VOC Challenges, and Improving the Data Analytics Process, Chris Williams 512 e, CiML
Emily Fox 512 bf, NetworksInScience
David Woodruff, IBM Almaden 511 e, BigNeuro
Spotlights & Posters 514 a, Personalization
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Contributed talk (Charles J. M. Mathy) 511 a, MultiAgent
Poster session 511b, BayesOpt
Sara Wade 515 bc, BayesNonparam
Van der Velde: Combinatorial structures and processing in Neural Blackboard Architectures 512 cg, CognitiveComputation2
Panel discussion with Asela, Noam, Armand Joulin and Patrice Simard chaired by Manik Varma 511 f, Extreme
Contributed - Sami Remes - Classification of weak multi-view signals by sharing factors in a mixture of Bayesian group factor analyzers 515 a, Neuroimaging2
Andrew Barron 513 cd, NonConvexOpt
Spotlight of Posters 514 bc, TransferAndMultitask
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Matt Hoffman 511b, BayesOpt
Charles Elkan (Amazon/UCSD) Massive Sparse Multilabel Learning 511 f, Extreme
Invited Talk: Roxana Geambasu 511 d, MLSys
Francis Bach 511 c, Multiresolution
Chris Re 513 cd, NonConvexOpt
Ruslan Salakutdinov 513 ef, BlackBox
Frans Oliehoek (University of Amsterdam) 511 a, MultiAgent
Mohammad Amin (Quantum Boltzmann Machine) 512 a, QuantumML
Matthew Stephens - TBD 510 db, MLCB
Ambuj Tewari, Huitian Lei, & Susan Murphy. University of Michigan. 'From Ads to Interventions: Contextual Bandit Algorithms for Mobile Health'. (NIH application to 'Heartsteps') 514 a, Personalization
Invited Speaker: Max Ott 512 dh, Privacy
Richard G. Baraniuk, Rice University 511 e, BigNeuro
Tom Mitchell 515 a, Neuroimaging2
4:40pm EST
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Discussion 511 d, MLSys
Amr Ahmed 515 bc, BayesNonparam
Academic Torrents: Scalable Data Distribution, Henry Z. Lo 512 e, CiML
Gary F. Marcus 512 cg, CognitiveComputation2
David Belanger (UMass) Scaling up Multilabel Classification using Structured Prediction Energy Networks 511 f, Extreme
Scaling Phenomena in Stochastic Topology, Sayan Mukherjee 511 c, Multiresolution
Kevin Chen 513 cd, NonConvexOpt
Percy Liang 514 bc, TransferAndMultitask
A Roadmap towards Machine Intelligence, Tomas Mikolov, Facebook AI Research (Invited) 510 ac, RAM
Deepak Agarwal 512 bf, NetworksInScience
Panel discussion 511b, BayesOpt
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Discussion, Q&A, etc. 512 cg, CognitiveComputation2
Isabel Valera 515 bc, BayesNonparam
Michiel Stock (Ghent) A two-step method to incorporate task features for large output spaces 511 f, Extreme
Qiang Yang 514 bc, TransferAndMultitask
Open discussion 512 e, CiML
Panel discussion 2 + snacks and drinks + closing remarks 515 a, Neuroimaging2
Open problem session + closing remarks 513 cd, NonConvexOpt
Panel & Group Discussion on Conclusions & Future Directions. Finale Doshi-Velez, Ambuj Tewari, Joseph Jay Williams, Neil Heffernan 514 a, Personalization
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