Schedule

The workshop will be held on Saturday, December 3rd 2022 at the New Orleans Convention Center.

Links to accepted papers are on the virtual site.

9:00 – 9:10 Opening remarks

9:10 – 9:35 Invited talk (Mingsheng Long): Domain Adaptation: Theory, Algorithms, and Open Library

9:35 – 10:00 Invited talk (Markus Reichstein): Machine-learning, distribution shifts and extrapolation in the Earth System

10:00 - 10:30 Coffee break

10:30 – 10:55 Invited talk (Pradeep Ravikumar): The promises and pitfalls of CVAR

11:00 – 11:45 Panel discussion: Behnam Neyshabur, David Sontag, Erin Hartman, and Pradeep Ravikumar, moderated by Hongseok Namkoong

11:45 – 13:00 Lunch break

13:00 – 14:30 Poster session

14:30 - 14:40 Spotlight presentation 1: First Steps Toward Understanding the Extrapolation of Nonlinear Models to Unseen Domains

14:40 - 14:50 Spotlight presentation 2: Learning Invariant Representations under General Interventions on the Response

14:50 - 15:00 Spotlight presentation 3: CAREER: Economic Prediction of Labor Sequence Data Under Distribution Shift

15:00 - 15:10 Spotlight presentation 4: Tackling Distribution Shifts in Federated Learning with Superquantile Aggregation

15:10 - 15:20 Spotlight presentation 5: Domain-Adjusted Regression or: ERM May Already Learn Features Sufficient for Out-of-Distribution Generalization

15:20 - 15:30 Spotlight presentation 6: Data Feedback Loops: Model-driven Amplification of Dataset Biases

15:30 - 15:45 Coffee break

15:45 – 16:10 Invited talk (Erin Hartman): External Validity: Framework, Design, and Analysis

16:10 – 16:35 Invited talk (Alicia Wassink): Bringing real-world data to bear in addressing distribution shifts: a sociolinguistically-informed analysis of ASR errors

16:35 – 17:00 Invited talk (Sara Beery): Geospatial Distribution Shifts in Ecology: Mapping the Urban Forest