The keynote talks and sessions ending with "-1" will be in CCIS 1-440, while sessions ending with "-2" will be CCIS 1-430.
Sunday, Jun 30 09:00-10:15 | 1A-1 (Reinforcement Learning) |
Sunday, Jun 30 09:00-10:15 | 1A-2 (Statistics) |
Sunday, Jun 30 10:15-10:45 | Coffee break |
Sunday, Jun 30 10:45-12:00 | 1B-1 (Differential Privacy) |
Sunday, Jun 30 10:45-12:00 | 1B-2 (Distribution Learning) |
Sunday, Jun 30 13:30-14:30 | Keynote Talk: Adam Tauman Kalai |
Sunday, Jun 30 14:45-16:00 | 1C-1 (Bandits) |
Sunday, Jun 30 14:45-16:00 | 1C-2 (Graphs) |
Sunday, Jun 30 16:00-16:30 | Coffee break |
Sunday, Jun 30 16:30-17:45 | 1D-1 (Regression) |
Sunday, Jun 30 16:30-17:45 | 1D-2 (Neural Networks) |
Sunday, Jun 30 18:00-19:00 | BUSINESS MEETING |
Monday, Jul 01 08:30-09:45 | 2A-1 (Reinforcement Learning) |
Monday, Jul 01 08:30-09:45 | 2A-2 (Clustering) |
Monday, Jul 01 10:00-10:30 | Open Problems 1 |
Monday, Jul 01 10:45-12:00 | 2B-1 (Differential Privacy) |
Monday, Jul 01 10:45-12:00 | 2B-2 (Classification) |
Monday, Jul 01 13:30-14:30 | Keynote Talk: Michal Valko |
Monday, Jul 01 14:30-15:00 | Coffee break |
Monday, Jul 01 15:00-16:15 | 2C-1 (Bandits) |
Monday, Jul 01 15:00-16:15 | 2C-2 (Spectral methods) |
Monday, Jul 01 16:30-19:00 | POSTER SESSION |
Tuesday, Jul 02 08:30-09:45 | 3A-1 (Online Learning) |
Tuesday, Jul 02 08:30-09:45 | 3A-2 (Learning Theory) |
Tuesday, Jul 02 10:00-10:30 | Open Problems 2 |
Tuesday, Jul 02 10:45-12:00 | 3B-1 (Game Theory and Online Learning) |
Tuesday, Jul 02 10:45-12:00 | 3B-2 (Calibration and Multi-Distribution Learning) |
Tuesday, Jul 02 13:30-14:30 | Keynote Talk: Constantinos Daskalakis |
Tuesday, Jul 02 14:45-16:00 | 3C-1 (Quantum and Information Theory) |
Tuesday, Jul 02 14:45-16:00 | 3C-2 (Testing) |
Tuesday, Jul 02 16:00-16:30 | Coffee break |
Tuesday, Jul 02 16:30-17:45 | 3D-1 (Neural Networks) |
Tuesday, Jul 02 16:30-17:45 | 3D-2 (Sampling) |
Tuesday, Jul 02 18:30-21:30 | BANQUET |
Wednesday, Jul 03 08:30-10:00 | 4A-1 (Online Learning) |
Wednesday, Jul 03 08:30-10:00 | 4A-2 (Robust/Adversarial Learning) |
Wednesday, Jul 03 10:00-10:30 | Coffee break |
Wednesday, Jul 03 10:30-12:00 | 4B-1 (Graphs) |
Wednesday, Jul 03 10:30-12:00 | 4B-2 (Stochastic Optimization) |
Wednesday, Jul 03 13:30-15:00 | 4C-1 (Active Learning and More) |
Wednesday, Jul 03 13:30-15:00 | 4C-2 (Supervised Learning) |
Wednesday, Jul 03 15:00-15:30 | Coffee break |
Wednesday, Jul 03 15:30-17:00 | 4D-1 (Statistical Methods) |
Wednesday, Jul 03 15:30-17:00 | 4D-2 (Sampling and Optimization) |
Wednesday, Jul 03 17:30-17:59 | Virtual |