Walid Krichene received his Ph.D. in Electrical Engineering and Computer Sciences from the University of California at Berkeley. His research focuses on the theory of convex optimization and its applications to machine learning, sequential decisions, and recommendation. He received the M.S. in Applied Mathematics from the Ecole des Mines Paristech and the M.A. in Mathematics from the University of California, Berkeley. His previous research work includes collaboration with the CDC department at Caltech, the CAOR group at the Ecole des Mines, and a researcher position at Criteo labs. Walid has received multiple awards including the Valedictorian Prize for the Tunisian Baccalaureate, a Bronze medal at the Pan African Mathematics Olympiads, two Outstanding Graduate Student Instructor awards from UC Berkeley, and the Leon Chua Award for outstanding achievement in nonlinear science.
Walid Krichene, Alexandre Bayen, Peter Bartlett
29th Conference on Neural Information Processing Systems (NIPS) (2016)