Computer Science, University of Iowa
Organizer: Tianbao Yang
Maintained by: Yi Xu
Location: B11 MacLean Hall (MLH)
Hours: 1:30pm - 3:30pm Friday
Tentative
Week
Date
Topic
Presenter
Week 1
January 20, 2017
None
Week 2
January 27, 2017
Variance Reduction for Faster Non-Convex Optimization
Yi Xu
Week 3
Feburary 03, 2017
A Differential Equation for Modeling Nesterov's Accelerated Gradient Method: Theory and Insights
Runchao Ma
Week 4
Feburary 10, 2017
Learnability, Stability and Uniform Convergence
Zhe Li
Week 5
Feburary 17, 2017
Informatics Showcase
Week 6
Feburary 24, 2017
Escaping From Saddle Points - Online Stochastic Gradient for Tensor Decomposition (B13 MLH, 12:30pm-2:30pm)
Mingrui Liu
Week 7
March 03, 2017
Adaptive Subgradient Methods for Online Learning and Stochastic OptimizationPrimal-dual subgradient methods for convex problems
Zaiyi Chen
Week 8
March 10, 2017
"Efficient" Subgradient Methods for General Convex Optimization
Qihang Lin
Week 9
March 17, 2017
Spring Break
Week 10
March 24, 2017
Efficient Mini-batch Training for Stochastic Optimization
Jeffrey Hajewski
Week 11
March 31, 2017
Trading Computation for Communication: Distributed Stochastic Dual Coordinate Ascent
Xin Man
Week 12
April 07, 2017
Train faster, generalize better: Stability of stochastic gradient descent
Week 13
April 14, 2017
Linear Convergence of Stochastic Frank Wolfe Variants Garud Iyengar (Columbia University) (2:30-3:30pm, Room C125 PBB)
Week 14
April 21, 2017
Phaseless super-resolution in the continuous domainCompressed Sensing Off the Grid
Myung (Michael) Cho
Week 15
April 28, 2017
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
Yan Yan
Week 16
May 5, 2017
Week 17
May 12, 2017
Final Exam Week