Machine Learning Ph.D. Seminar

Fall 2017 Schedule

September 19 - Yuchen Zhang, Stanford University
Title: Two Approaches to Non-convex Machine Learning [slides]

September 26 - No Seminar.

October 3 - Daniel Hsu, Columbia University
Title: Linear regression without correspondence

October 10 - Mikhail Belkin, The Ohio State University
Title: A deeper look at shallow learning: a computational and approximation perspective on big data.

October 17 - No Seminar.

October 24 - Robert Kleinberg, Cornell University
Title: Recharging Bandits: Learning to Schedule Recurring Interventions [slides]

October 31 - Yisong Yue, California Institute of Technology
Title: New Frontiers in Imitation Learning.

November 7 - Jason Weston, Facebook AI Research
Title: Mastering the Dungeon: Grounded Language Learning by Mechanical Turker Descent

November 14 - No Seminar.

November 21 - No Seminar.

November 28 - LĂ©on Bottou, Facebook AI Research
Title: Looking for a Missing Signal

December 12 - Yurii Nesterov, Université catholique de Louvain
Title: Accelerating the Universal Newton Methods


Spring 2017 Schedule

February 28 - Xi Chen, New York University
Title: Statistical Estimation and Sequential Analysis for Crowdsourcing.

March 7 - Raman Arora, Johns Hopkins University
Title: Stochastic approximation for representation learning

March 13 - Spring Break

March 21 - Umar Syed, Google Research, NYC
Title: Statistical Cost Sharing

March 28 - Joan Bruna, New York University
Title: Addressing Computational and Statistical Gaps with Deep Neural Networks.

April 4 - Furong Huang, Microsoft Research, NYC
Title: Discovery of Latent Factors in High-dimensional Data Using Tensor Methods.

April 11 - Jacob Abernethy, University of Michigan
Title: On the Equivalence of Simulated Annealing & Interior Point Path Following for Optimization.

April 18 - No Seminar.

April 25 - Han Liu, Princeton University
Title: Combinatorial Inference

May 2 - Lihong Li, Microsoft Research, Redmond
Title: Stochastic Variance Reduction Methods for Policy Evaluation