Statistical Learning and Data Mining
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Fall 2016
Meetings will be held every
other Thursday between 11:30 am - 12:30 pm in CH212.
Presentation and discussion schedule will be posted as we go along.
- August 25, 2016
Organizational meeting (faculty only) - September 8, 2016
Speaker: Qian Qian
Title: The information geometry of mirror descent by Garvesh Raskutti and Sayan Mukherjee (2013), Mirror descent and nonlinear projected subgradient methods for convex optimization by Amir Beck and Marc Teboulle (2003)
- September 22, 2016
Speaker: Zhifei Yan
Title: Clustering subgaussian mixtures by semidefinite programming by Dustin Mixon, Soledad Villar, and Rachel Ward (2016)
- October 6, 2016
Speaker: Liubo Li
Title: Trend filtering on graphs by Yu-Xiang Wang, James Sharpnack, Alex Smola, and Ryan Tibshirani (2015)
- October 20, 2016
Speaker: Shanshan Tu
Title: Optimal M-estimation in high-dimensional regression by Derek Bean, Peter Bickel, Noureddine El Karoui, and Bin Yu (2013)
- November 3, 2016
Speaker: Hui Zou
Title: Informal talk on data science - November 17, 2016
Speaker: Jieyi Jiang
Title: A split-and-conquer approach for analysis of extraordinarily large data by Xueying Chen and Min-ge Xie (2014)
- December 1, 2016
Speaker: Chenxi Zhou
Title: Kernel Mean Embedding of Distributions: A Review and Beyonds by Krikamol Muandet, Kenji Fukumizu, Bharath Sriperumbudur, and Bernhard Scholkopf (2016)