Machine Learning Group Seminar

Maintained by: Yi Xu

Location: B13 MacLean Hall (MLH)

Hours: 1:30pm - 3:30pm Friday

Week	Date	Topic	Presenter

Week 5	Feburary 16, 2018	Understanding Black-box Predictions via Influence Functions	Xin Man

Week 6	Feburary 23, 2018	Accelerating Stochastic Gradient Descent	Mingrui Liu

Week 7	March 02, 2018	Concise Complexity Analyses for Trust-Region Methods	Yi Xu

Week 8	March 09, 2018	Convergence Rate Analysis of a Stochastic Trust Region Method for Nonconvex Optimization	Runchao Ma

Week 9	March 16, 2018	Spring Break	None

Week 10	March 23, 2018	A trust region algorithm with a worst-case iteration complexity of O(ϵ^-3/2) for nonconvex optimization	Hassan Rafique

Week 11	March 30, 2018	How To Make the Gradients Small Stochastically	Yan Yan

Week 12	April 06, 2018	Complexity of finding near-stationary points of convex functions stochastically Stochastic subgradient method converges at the rate O(k−1/4) on weakly convex functions	Yi Xu

Week 13	April 13, 2018	Minimizing Nonconvex Population Risk from Rough Empirical Risk	Mingrui Liu

Week 14	April 20, 2018	An Alternative View: When Does SGD Escape Local Minima?	Runchao Ma

Week 15	April 27, 2018	Stochastic Primal-Dual Coordinate Method for Regularized Empirical Risk Minimization	Yan Yan

Week 16	May 04, 2018	Efficiency of minimizing compositions of convex functions and smooth maps	Hassan Rafique

Week 17	May 11, 2018	Final Exam Week	None