Saturday, July 29th,  2023 (all times are in HST, GMT-10)

8.50-9.00am - Introductory remarks

9.00-9.45am - Francesco Locatello
                                           Distribution Shifts in Generalist and Causal Models 

10.15-10.30am - Break

10.30-11.15am - Sanmi Koyejo
      On learning domain general predictors

10.30-11.15am - Sanmi Koyejo
      On learning domain general predictors

11.15-12.00pm - Suchi Saria and Adarsh Subbaswamy
 Using Causality to Improve Safety Throughout the AI Lifecycle

12.00-1.00pm - Lunch Break

1.00-1.45pm - Ludwig Schmidt
   A data-centric view on reliable generalization: From ImageNet to LAION-5B

1.45-2.30pm - Sara Magliacane
   Causal vs Causality-inspired representation learning

2.30-3.30pm - Poster Session 1

3.30-4.15pm - SCIS 2023 Panel, The Future of Generalization: Scale, Safety and Beyond

Adam Gleave, Moderator

Participants:

Samuel Bowman
Maggie Makar
Zachary Lipton

4.15-5.00pm - Casual Conversation + Poster Session 2