Keynote Speakers

Christopher Matthew De Sa >>
Cornell University, USA
Abstract
Bio
Christopher Matthew De Sa is currently an Assistant Professor in the Computer Science department at Cornell University. research interests include algorithmic, software, and hardware techniques for high-performance machine learning, with a focus on relaxed-consistency variants of stochastic algorithms such as asynchronous and low-precision stochastic gradient descent (SGD) and Markov chain Monte Carlo. He has authored numerous papers in leading journals and conferences in Machine Learning. He holds BS and MS degrees, both in Electrical Engineering, from Stanford University, and completed his PhD from the same department at Stanford University. For more information about his work please see https://www.cs.cornell.edu/~cdesa/.
Milind Tambe >>
Harvard University, USA