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13 Program Highlights »
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Invited Talk
Tue Dec 5th 08:30 - 08:30 AM @
Free Lunches: Insights from Behavioral Economics
Dan Ariely
Talk
Tue Dec 5th 09:30 - 09:30 AM @
Combining causal and similarity-based reasoning
Charles Kemp · Patrick Shafto · Allison Berke · Josh Tenenbaum
Talk
Tue Dec 5th 09:50 - 09:50 AM @
An Approach to Bounded Rationality
Eli Ben-Sasson · Adam T Kalai · Ehud Kalai
Talk
Tue Dec 5th 10:50 - 10:50 AM @
Boosting Structured Prediction for Imitation Learning
Nathan D Ratliff · David M Bradley · Drew Bagnell · Joel Chestnutt
Talk
Tue Dec 5th 11:10 - 11:10 AM @
An Application of Reinforcement Learning to Aerobatic Helicopter Flight
Pieter Abbeel · Adam P Coates · Andrew Y Ng · Morgan Quigley
Talk
Tue Dec 5th 11:30 - 11:30 AM @
Learning Motion Style Synthesis from Perceptual Observations
Lorenzo Torresani · Peggy Hackney · Christoph Bregler
Talk
Tue Dec 5th 02:00 - 02:00 PM @
TrueSkill: A Bayesian Skill Rating System
Ralf Herbrich · Tom Minka · Thore K Graepel
Talk
Tue Dec 5th 02:20 - 02:20 PM @
A Scalable Machine Learning Approach to Go
Lin Wu · Pierre Baldi
Talk
Tue Dec 5th 02:40 - 02:40 PM @
Map-Reduce for Machine Learning on Multicore
Cheng-Tao Chu · Sang Kyun Kim · Yi-An Lin · YuanYuan Yu · Gary N Bradski · Andrew Y Ng · Kunle Olukotun
Talk
Tue Dec 5th 03:00 - 03:00 PM @
No-regret algorithms for Online Convex Programs
Geoffrey J Gordon
Talk
Tue Dec 5th 04:00 - 04:00 PM @
Learning annotated hierarchies from relational data
Dan M Roy · Charles Kemp · Vikash K Mansinghka · Josh Tenenbaum
Talk
Tue Dec 5th 04:20 - 04:20 PM @
Greedy Layer-Wise Training of Deep Networks
Yoshua Bengio · Pascal Lamblin · Dan Popovici · Hugo Larochelle
Talk
Tue Dec 5th 04:40 - 04:40 PM @
A Kernel Method for the Two-Sample-Problem
Arthur Gretton · Karsten Borgwardt · Malte J Rasch · Bernhard Schölkopf · Alex J Smola