About Me

I will be visiting the Simons Institute for the Theory of the Computing, University of California, Berkeley to study Modern Paradigms in Generalization during Fall 2024.

I am a student at the Department of Computer Science, University of Illinois, Urbana-Champaign, where I am fortunate to work with Prof. Han Zhao and Prof. Arindam Banerjee on

• Transfer Learning/Generalization: Theory and algorithms for emerging generalization settings.
• Deep Learning Theory: Studying the interplay between optimization algorithms and generalization for neural networks.

Publications

Transfer Learning/Generalization

Sharpness-Aware Generalization Bounds for Gradual Domain Adaptation

Samuel Schapiro, Han Zhao - Submitted to International Conference on Machine Learning (ICML) 2024

Deep Learning Theory

Sharpness-Aware Minimization: Implicit Biases and Feature Selection

Samuel Schapiro, Ruicheng Xian, Arindam Banerjee, Han Zhao - Appearing in Princeton Workshop on Optimization, Learning, and Control 2024

Personal

In my free time, I enjoy running, weightlifting, and playing the piano.