Date | Presenter | Topic |
---|---|---|
Sep 1 | Zaiyi Chen | Finding Approximate Local Minima Faster than Gradient Descent |
Sep 8 | Yi Xu | Sub-sampled Cubic Regularization for Non-convex Optimization |
Sep 15 | Qihang Lin | Proximally Guided Stochastic Subgradient Method for Nonsmooth, Nonconvex Problems |
Sep 22 | Dixian Zhu | Learning Algorithms for Active Learning |
Sep 29 | Zaiyi Chen | Natasha 2: Faster Non-Convex Optimization Than SGD |
Oct 6 | Xin Man | Level-set Methods for Convex Optimization |
Oct 13 | Runchao Ma | How to Escape Saddle Points Efficiently |
Oct 20 | Mingrui Liu | Efficient Regret Minimization in Non-Convex Games |
Oct 27 | Yi Xu | A Generic Approach for Escaping Saddle Points |
Nov 3 | Xiaoxuan Zhang | Online Learning to Rank in Stochastic Click Models |
Nov 10 | Canceled | Graduate Research Symposium |
Nov 17 | Xin Man | Stochastic Difference of Convex Algorithm and its Application to Training Deep Boltzmann Machines |
Nov 24 | Canceled | Thankgiving Break |
Dec 1 | Jeff Hajewski | Neural Optimizer Search with Reinforcement Learning |