|
Oral Session
|
Wed 17:00
|
Reinforcement Learning Theory 2
|
|
|
Oral Session
|
Wed 19:00
|
Reinforcement Learning Theory 5
|
|
|
Oral Session
|
Wed 17:00
|
Reinforcement Learning Theory 3
|
|
|
Oral Session
|
Wed 18:00
|
Reinforcement Learning Theory 4
|
|
|
Poster
|
Wed 21:00
|
Learning Optimal Auctions with Correlated Valuations from Samples
CHUNXUE YANG · Xiaohui Bei
|
|
|
Oral
|
Wed 17:00
|
Learning Optimal Auctions with Correlated Valuations from Samples
CHUNXUE YANG · Xiaohui Bei
|
|
|
Spotlight
|
Wed 7:30
|
Guarantees for Tuning the Step Size using a Learning-to-Learn Approach
Xiang Wang · Shuai Yuan · Chenwei Wu · Rong Ge
|
|
|
Poster
|
Wed 9:00
|
Guarantees for Tuning the Step Size using a Learning-to-Learn Approach
Xiang Wang · Shuai Yuan · Chenwei Wu · Rong Ge
|
|
|
Spotlight
|
Wed 19:20
|
Sample-Optimal PAC Learning of Halfspaces with Malicious Noise
Jie Shen
|
|
|
Poster
|
Wed 21:00
|
Sample-Optimal PAC Learning of Halfspaces with Malicious Noise
Jie Shen
|
|
|
Poster
|
Wed 21:00
|
UCB Momentum Q-learning: Correcting the bias without forgetting
Pierre Menard · Omar Darwiche Domingues · Xuedong Shang · Michal Valko
|
|
|
Oral
|
Wed 17:00
|
UCB Momentum Q-learning: Correcting the bias without forgetting
Pierre Menard · Omar Darwiche Domingues · Xuedong Shang · Michal Valko
|
|
