All Articles

Homepage for STAG 2019

The Statistical Learning Theory working group will meet on Mondays. We will have readings, presentations and discussions on topics including (but, not limited to) statistical learning theory, nonparametric estimation and inference, deep learning, functional data analysis, topological data analysis and algebraic statistics. The focus of the group is to read and discuss important papers in one particular topic of interest for a semester or two.

Time Mondays 2:30 - 4:00 PM
Location Thomas 327



The schedule is available on the STAG Google Calendar


Date Speaker Topic References
Sep 9, 2019 Bharath Sriperumbudur Introduction to Neural Networks Yarotsky, 2017
Sep 16, 2019 Bharath Sriperumbudur Error Bounds Yarotsky, 2018
Sep 23, 2019 Bharath Sriperumbudur Approximation Bounds Yarotsky, 2018
Sep 30, 2019 Efren Cruz Cortés Approximation Bounds Hanin, 2017
Oct 7, 2019 Tianhong Seng Approximation Bounds Lu et al, 2017
Oct 14, 2019 Omar Hagrass Approximation Bounds Peterson et al, 2017
Oct 21, 2019 Bharath Sriperumbudur Approximation Bounds Mhaskar et al. 2016a,2016b, 2017
Oct 28, 2019 Bing Li Approximation Bounds Liang & Srikant, 2017
Nov 4, 2019 Bharath & TBD Approximation Bounds Zhou, 2018
Nov 11, 2019 Nicholas Sterge Generalization Bounds Zhang et al, 2017
Nov 18, 2019 Siddharth Vishwanath Generalization Bounds Bartlett et al, 2017
Dec 2, 2019 Bharath Sriperumbudur Generalization Bounds Imaizumi & Fukumizu, 2018
Dec 9, 2019 Bharath Sriperumbudur Generalization Bounds Suzuki, 2019


If you’re interested in attending the meetings, please sign-up here, and send an email to the L-STAT-STAG with the subject “Add Me” and include your name and department in the body.