Yair Carmon

Assistant Professor, School of Computer Science and AI at Tel Aviv University

Carmon studies the limits of optimization and how to get around them. His work develops faster algorithms for difficult nonconvex and stochastic problems and establishes lower bounds showing when no method can do better, with a recent focus on making machine learning robust to noisy data and distribution shifts.