Content-type: text/html ML/Google Distinguished Lecture Series-Machine Learning Department - Carnegie Mellon University

ML/Google Distinguished Lecture Series-Machine Learning Department - Carnegie Mellon University

ML/Google Distinguished Lecture Series

Lecture Schedule (Seminar Organizer: Ndapa Nakashole)

Apr 28, 2016 The Sample Complexity of Learning Near-Optimal Auctions and Heuristics - Tim Roughgarden, Associate professor in the computer Science Department, Stanford
Apr 21, 2016 Through the Lens of the Laplacian Paradigm: Big Data and Scalable Algorithms -- a Pragmatic Match Made On Earth - Shang-Hua Teng, Professor of Computer Science and Mathematics, University of Southern California
Apr 14, 2016 The Contextual Bandits Problem: A Fast, Simple, and Optimal Algorithm - Rob Schapire , Principal Researcher at Microsoft Research in New York City
Mar 31, 2016 Applied Random Matrix Theory - Joel A. Tropp, Professor of Applied & Computational Mathematics at the California Institute of Technology
Mar 24, 2016 Phase transitions in semidefinite relaxations - Andrea Montanari, Professor, Dept. of Electrical Eng. & Statistics, Stanford University
Mar 17, 2016 Pairwise comparison models for high-dimensional ranking: Some statistical and computational trade-offs - Martin J. Wainwright, Professor, Dept. of Electrical Engineering & Computer Science & Dept. of Statistics, University of California at Berkeley
Nov 19, 2015 Graph Continuum Limits In Data Science - Alfred Hero, co-Director, Michigan Institute for Data Science (MIDAS), Univ. of Michigan
Oct 08, 2015 Rationality, Heuristics, and Cost of Computation - Tom Griffiths , Assoc. Professor, Dept. of Psychology, Univ. of Calif., Berkeley
Co-sponsored By Google