Delves into instrumental variable approaches for optimal treatment regimes, including precision medicine and personalized recommendations, with a focus on identification conditions and robust classification-based estimators.
Explores the challenges of robust vision, including distribution shifts, failure examples, and strategies for improving model robustness through diverse data pretraining.
