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AISTATS 2022 Program Schedule
All times are UTC. You can check current UTC time here and convert to other time zones using online time zones converters such as utctime.net or time.is. Be aware of the summer time change in Europe on March 27.
For more details and automatic time zones conversion please see the live schedule, which is posted on the virtual site.
MeMentor mentoring sessions happen during various times from Monday, March 28th to Wednesday, March 30th; see https://mementor.net for exact times.
Schedule for Day 1: Mon, March 28
| time (UTC) | Day 1: Mon, March 28 |
|---|---|
| 07:00-08:30 | Affinity Groups Speed Networking Social |
| 08:30-09:30 | Oral Session 1 : Learning theory / General ML |
| 09:30-10:30 | Oral Session 2 : Bayesian methods / Sampling methods |
| 10:30-11:30 | Break |
| 11:30-13:00 | Poster session 1 |
| 13:00-14:00 | Oral Session 3: Causality / Trustworthy ML |
| 14:00-15:00 | Oral Session 4: Bandits / Reinforcement learning |
| 15:00-16:00 | Break |
| 16:00-16:15 | Opening remarks |
| 16:15-17:15 | Invited talk - Eric J. Tchetgen Tchetgen New Methods for Taming Endogeneity Bias in Observational Studies: Proxies, Bespoke Instruments and Invalid Instruments |
| 17:15-18:45 | Poster session 2 |
Schedule for Day 2: Tue, March 29
| time (UTC) | Day 2: Tue, March 29 |
|---|---|
| 08:00-09:30 | Poster session 3 |
| 09:30-10:30 | Oral Session 5: Kernels / Optimization / Deep learning |
| 10:30-11:30 | Oral Session 6: Learning theory / Sampling methods |
| 11:30-12:30 | Break |
| 12:30-14:00 | Affinity Group Supported Pathways to ML Research Panel |
| 14:00-15:00 | Invited talk - Laure Zanna Machine Learning for Ocean and Climate Modeling: Advances & Challenges |
| 15:00-16:00 | Oral Session 7: Bayesian methods / Deep learning |
| 16:00-16:45 | Break |
| 16:45-17:00 | Awards ceremony |
| 17:00-18:00 | Test-of-time, J. Z. Kolter and T. S. Jaakkola |
| 18:00-19:00 | WiML-CWS Social |
Schedule for Day 3: Wed, March 30
| time (UTC) | Day 3: Wed, March 30 |
|---|---|
| 07:00-08:00 | Oral Session 8: Learning theory / Sampling methods |
| 08:00-09:00 | Oral Session 9: Reinforcement learning / Deep learning |
| 09:00-09:30 | Break |
| 09:30-10:30 | Invited talk - Mihaela van der Schaar Using ML to Discover the Underlying Models of Medicine |
| 10:30-12:00 | Poster session 4 |
| 12:00-13:00 | Break |
| 13:00-14:00 | Oral Session 10: Gaussian processes / Optimization / Online ML |
| 14:00-15:00 | Oral Session 11: Learning Theory / Kernels |
| 15:00-15:30 | Break |
| 15:30-17:00 | Poster session 5 |
| 17:00-19:00 | Mentoring Retrospectives Workshop |