Schedule
This workshop will be held in-person at ICML 2023 at the Hawaii Convention Center on July 28th 2023 (tentative). The session will cover a tutorial, invited talks, contributed talks, posters, and a panel discussion. The tentative schedule in Hawaii Standard Time (GMT-10) can be found below.
| Hawaii Time (GMT-10) | Type | Topic | Speakers (Affiliations) |
|---|---|---|---|
| 7:45 - 8:00 | Opening Remarks | ||
| 8:00 - 9:00 | Tutorial | Introduction to Control for ML | Brandon Amos (Meta AI) |
| 9:00 - 9:45 | Invited Talk | Control Theory | Claire Tomlin (UC Berkeley) |
| 9:45 - 10:30 | Invited Talk | Optimal Transport | Marco Cuturi (Apple & ENSAE CREST) |
| 10:30 - 11:00 | Contributed Talks | Algorithms & Theory | |
| 11:00 - 12:00 | Poster Session & Lunch | ||
| 12:00 - 12:45 | Invited Talk | Deep Learning & PDEs | Jiequn Han (Flatiron Institute) |
| 12:45 - 13:30 | Invited Talk | Scientific Discovery | Rianne van den Berg (Microsoft Research) |
| 13:30 - 14:15 | Contributed Talks | Applications | |
| 14:15 - 14:30 | Coffee Break | ||
| 14:30 - 15:15 | Invited Talk | RL & Multi-Agent Learning | Giorgia Ramponi (ETH Zurich) |
| 15:15 - 16:00 | Poster Session | ||
| 16:00 - 16:45 | Invited Panelists | Daniela Rus (MIT) Arnaud Doucet (University of Oxford & DeepMind) Evangelos Thedorou (Georgia Tech & Amazon) Jeannette Bohg (Stanford) Sarah Dean (Cornell) | |
| 16:45 - 17:00 | Closing Remarks | ||