Machine Learning Group Seminar (FALL 2019)

Time: 9:00AM - 11:00AM CST, Friday, Aug 30 - Nov 1, 2019; 1:00PM - 3:00PM CST, Friday, Nov 8 - Dec 13, 2019

Location: B11, MacLean Hall (B13 on Sept 20, 2019): Aug 30 - Nov 1, 2019; Room S326, PBB: Nov 8 - Dec 13, 2019

Organizer: Qihang Lin and Tianbao Yang

Maintained by: Yan Yan

Week Date Topic Presenter
1 August 30, 2019 None
2 September 6, 2019 Global Convergence of ADMM in Nonconvex Nonsmooth Optimization Qi Qi
3 September 13, 2019 None
3 September 20, 2019 Algorithms of Robust Stochastic Optimization Based on Mirror Descent Method Zhishuai Guo
4 September 27, 2019 A Universal Algorithm for Variational Inequalities Adaptive to Smoothness and Noise Xin Man
5 October 4, 2019 Polylogarithmic width suffices for gradient descent to achieve arbitrarily small test error with shallow ReLU networks Mingrui Liu
6 October 11, 2019 Empirical Bernstein Bounds and Sample Variance Penalization Dixian Zhu
7 October 18, 2019 Robust stochastic optimization with the proximal point method Yan Yan
8 October 25, 2019 Loss Minimization and Parameter Estimation with Heavy Tails Zhishuai Guo
9 November 1, 2019 Sharper bounds for uniformly stable algorithms Qi Qi
10 November 8, 2019 Momentum-Based Variance Reduction in Non-Convex SGD Zhuoning Yuan
11 November 15, 2019 On the convergence of single-call stochastic extra-gradient methods Xin Man
12 November 22, 2019 An exponential learning rate schedule for deep learning Yan Yan
13 November 29, 2019 Thanksgiving Break None
14 December 6, 2019 Batched Multi-armed Bandits Problem Dixian Zhu
15 December 13, 2019 Mingrui Liu