[Artificial Intelligence and Statistics Logo] Artificial Intelligence and Statistics 2022

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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
This site last compiled Tue, 03 May 2022 15:44:34 +0200
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