Sunday
4:00 pm – 8:00 pm
Registration Desk Open, Level 2, room 210
Monday Dec 7th
7:30 am – 6:30 pm
Registration Desk Open, Level 2, room 210
8:00 am – 9:30 am
Breakfast, Level 2, 220A
9:30 am – 11:30 am
Deep Learning
Geoffrey E Hinton, Yoshua Bengio, Yann LeCun
Large-Scale Distributed Systems for Training Neural Networks
Chandra Chekuri
10:45 – 11:15 am - Coffee Break
12:05 – 1:00 pm - Lunch Break
1:00 – 3:00 pm
Monte Carlo Inference Methods
Iain Murray
Probabilistic Programming
Frank Wood
3:00 – 3:30 am - Coffee Break
3:30 – 5:30 pm
Introduction to Reinforcement Learning with Function Approximation
Rich S Sutton
High-Performance Hardware for Machine Learning
Bill Dally
6:30 – 6:55 pm
Opening Remarks and Reception
7:00 – 11:59 pm
Poster Session
Tuesday Dec 8th
7:30 am – 9:00 am
Breakfast, Level Level 2, 220A
7:30 am – 5:30 pm
Registration Desk Open, Level 2, room 210
9:00 – 9:50 am
INVITED TALK: Probabilistic Machine Learning: Foundations and Frontiers
Zoubin Ghahramani
9:50 – 10:10 am
Oral Session 1
Randomized Block Krylov Methods for Stronger and Faster Approximate Singular Value Decomposition
Cameron Musco · Christopher Musco
10:10 –10:40 am
Spotlight Session 1: Room 210A
10:40 – 11:10 am - Coffee Break
11:10 –11:50 am
Oral Session 2
Sampling from Probabilistic Submodular Models
Alkis Gotovos · Hamed Hassani · Andreas Krause
Solving Random Quadratic Systems of Equations Is Nearly as Easy as Solving Linear Systems
Yuxin Chen · Emmanuel Candes
11:50 – 12:00 pm
Spotlight Session 2:
12:00 – 2:00 pm - Lunch Break
2:00 – 2:50 pm
INVITED TALK: Incremental Methods for Additive Cost Convex Optimization
Asuman Ozdaglar
2:50 – 3:30 pm
Oral Session 3
Probabilistic Line Searches for Stochastic Optimization
Maren Mahsereci · Philipp Hennig
COEVOLVE: A Joint Point Process Model for Information Diffusion and Network Co-evolution
Mehrdad Farajtabar · Yichen Wang · Manuel Rodriguez · Shuang Li · Hongyuan Zha · Le Song
3:30 – 4:00 pm
Spotlight Session 3: Neuroscience and Neural Coding
4:00 – 4:30 pm - Coffee Break
4:30 – 5:30 pm
NIPS award Session
Oral Session 4
Competitive Distribution Estimation: Why is Good-Turing Good
Alon Orlitsky · Ananda Suresh
Fast Convergence of Regularized Learning in Games
Vasilis Syrgkanis · Alekh Agarwal · Haipeng Luo · Robert Schapire
Interactive Control of Diverse Complex Characters with Neural Networks
Igor Mordatch · Kendall Lowrey · Galen Andrew · Zoran Popovic · Emanuel Todorov
5:40 – 6:00 pm
Spotlight Session 4: Deep spotlights
7:00 – 11:59 pm
Demonstrations
Poster Session
Wednesday Dec 9th
7:30 am – 9:00 am
Breakfast, Level 2, 220A
7:30 am – 5:30 pm
Registration Desk Open, Level 2, room 210
9:00 – 9:50 am
INVITED TALK: Post-selection Inference for Forward Stepwise Regression, Lasso and other Adaptive Statistical procedures
Robert Tibshirani
9:50 – 10:10 am
Oral Session 5
Learning Theory and Algorithms for Forecasting Non-stationary Time Series
Vitaly Kuznetsov · Mehryar Mohri
10:10 –10:40 am
Spotlight Session 5: Regression and time series spotlights
10:40 – 11:10 am - Coffee Break
11:10 –11:50 am
Oral Session 6
Deep Visual Analogy-Making
Scott E Reed · Yi Zhang · Yuting Zhang · Honglak Lee
End-To-End Memory Networks
Sainbayar Sukhbaatar · arthur szlam · Jason Weston · Rob Fergus
11:50 – 12:00 pm
Spotlight Session 6: Learning theory spotlights
12:00 – 2:00 pm - Lunch Break
2:00 – 2:50 pm
INVITED TALK: Diagnosis and Therapy of Psychiatric Disorders Based on Brain Dynamics
Mitsuo Kawato
2:50 – 3:30 pm
Oral Session 7
A Reduced-Dimension fMRI Shared Response Model
Po-Hsuan (Cameron) Chen · Janice Chen · Yaara Yeshurun · Uri Hasson · James Haxby · Peter J Ramadge
Attractor Network Dynamics Enable Preplay and Rapid Path Planning in Maze–like Environments
Dane S Corneil · Wulfram Gerstner
3:30 – 4:00 pm
Spotlight Session 7: Reinforcement learning spotlights
4:00 – 4:30 pm - Coffee Break
4:30 – 5:20 pm
INVITED TALK: Computational Principles for Deep Neuronal Architectures
Haim Sompolinsky
5:20 – 5:40 pm
Oral Session 8
Efficient Exact Gradient Update for training Deep Networks with Very Large Sparse Targets
Pascal Vincent · Alexandre de Brébisson · Xavier Bouthillier
5:40 – 6:00 pm
Spotlight Session 8: GP spotlights, kernel spotlights, sampling spotlights, classification spotlights
7:00 – 11:59 pm
Demonstrations
Poster Session
Thursday Dec 10th
7:30 am – 9:00 am
Breakfast, Level 2, 220A
7:30 am – 11:59 am
Registration Desk Open, Level 2, room 210
9:00 – 9:50 am
INVITED TALK: Learning with Intelligent Teacher: Similarity Control and Knowledge Transfer
Vladimir Vapnik
9:50 – 10:10 am
Oral Session 9
Less is More: Nyström Computational Regularization
Alessandro Rudi · Raffaello Camoriano · Lorenzo Rosasco
10:10 –10:40 am
Spotlight Session 9: Graphical models spotlights, model selection
10:40 – 10:50 am
Closing Remarks
10:50 am –11:00 am - Coffee Break
11:00 – 3:00 pm
Poster Session
3:00 pm - Symposia