(13 events)   Timezone: »  
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Invited Talk
Tue Dec 05 08:30 AM -- 08:30 AM (PST)
Free Lunches: Insights from Behavioral Economics
Dan Ariely
Talk
Tue Dec 05 09:30 AM -- 09:30 AM (PST)
Combining causal and similarity-based reasoning
Charles Kemp · Patrick Shafto · Allison Berke · Josh Tenenbaum
Talk
Tue Dec 05 09:50 AM -- 09:50 AM (PST)
An Approach to Bounded Rationality
Eli Ben-Sasson · Adam T Kalai · Ehud Kalai
Talk
Tue Dec 05 10:50 AM -- 10:50 AM (PST)
Boosting Structured Prediction for Imitation Learning
Nathan D Ratliff · David M Bradley · Drew Bagnell · Joel Chestnutt
Talk
Tue Dec 05 11:10 AM -- 11:10 AM (PST)
An Application of Reinforcement Learning to Aerobatic Helicopter Flight
Pieter Abbeel · Adam P Coates · Andrew Y Ng · Morgan Quigley
Talk
Tue Dec 05 11:30 AM -- 11:30 AM (PST)
Learning Motion Style Synthesis from Perceptual Observations
Lorenzo Torresani · Peggy Hackney · Christoph Bregler
Talk
Tue Dec 05 02:00 PM -- 02:00 PM (PST)
TrueSkill: A Bayesian Skill Rating System
Ralf Herbrich · Tom Minka · Thore K Graepel
Talk
Tue Dec 05 02:20 PM -- 02:20 PM (PST)
A Scalable Machine Learning Approach to Go
Lin Wu · Pierre Baldi
Talk
Tue Dec 05 02:40 PM -- 02:40 PM (PST)
Map-Reduce for Machine Learning on Multicore
Cheng-Tao Chu · Sang Kyun Kim · Yi-An Lin · YuanYuan Yu · Gary R Bradski · Andrew Y Ng · Kunle Olukotun
Talk
Tue Dec 05 03:00 PM -- 03:00 PM (PST)
No-regret algorithms for Online Convex Programs
Geoffrey Gordon
Talk
Tue Dec 05 04:00 PM -- 04:00 PM (PST)
Learning annotated hierarchies from relational data
Daniel Roy · Charles Kemp · Vikash Mansinghka · Josh Tenenbaum
Talk
Tue Dec 05 04:20 PM -- 04:20 PM (PST)
Greedy Layer-Wise Training of Deep Networks
Yoshua Bengio · Pascal Lamblin · Dan Popovici · Hugo Larochelle
Talk
Tue Dec 05 04:40 PM -- 04:40 PM (PST)
A Kernel Method for the Two-Sample-Problem
Arthur Gretton · Karsten Borgwardt · Malte J Rasch · Bernhard Schölkopf · Alexander Smola