|Homepage||Personal Home Page|
Gregory Valiant will be presenting a guest talk titled "When Your Big Data Seems Too Small" on Friday November 30, 2018.
Gregory Valiant is an assistant professor of Computer Science at Stanford University. His current research interests span algorithms, statistics, and machine learning, with an emphasis on developing algorithms and information theoretic lower bounds for a variety of fundamental data-centric tasks. Recently, this work has also included questions of how to robustly extract meaningful information from untrusted datasets that might contain a significant fraction of corrupted or arbitrarily biased data points.