Machine Learning Special Seminars
Dec 12, 2016 
Optimal Bayesian Analysis of A/B Tests at BigData Scale  David Draper, Professor, Baskin School of Engineering, University of CaliforniaSanta Cruz

Nov 15, 2016 
Stochastic linear bandits  Csaba Szepesvari, Professor, University of Alberta, Computing Science Department

Oct 27, 2016 
InQTel: accelerating innovation at the intersection of startups, government and venture capital  Aaron Sisto, InQTel

Oct 25, 2016 
Bayesian Optimization and Embedded Learning Systems  Jeff Schneider, Research Professor, Robotics Institute

Oct 18, 2016 
Tackling Anomaly Mining Problems in the Wild with Networks and Beyond  Leman Akoglu, Assistant Professor of Information Systems

Oct 04, 2016 
Structured Prediction and Deep Learning  Andrew McCallum, Professor and Director of the Information Extraction and Synthesis Laboratory

Sep 26, 2016 
A Permutationbased Model for Crowdsourcing: Optimal Estimation and Robustness  Nihar Shah, PhD Candidate EECS Dept.  Univ. of Berkeley

Sep 13, 2016 
Kernel Adaptive Hamiltonian Monte Carlo using the Infinite Exponential Family  Arthur Gretton, Associate Professor
