Machine Learning Group Seminar


This webpage is for machine learning group seminar at Fall 2017. The location where our seminar is held is MLH B11. The regular time is 1:30PM—3:30PM every Friday.

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