Workshop 1: Schedule
Tuesday, October 6th
8:45 Welcome
9:15 J. Suykens Learning with primal and dual model representations
10:00 J. Mairal A Universal Catalyst for First-Order Optimization
10:45 Coffee Break
11:00 J. Landsberg On the complexity of matrix multiplication and other tensors
11:45 Lunch
13:30 L. H. Lim Higher order cone programming
14:15 Y. Yang Rank-One Tensor Updating Algorithms for A Class of Low Rank Tensor
Learning (Optimization) Problems
15:00 Coffee Break
15:30 E. Moulines How to sample efficiently over high-dimensional space ?
16:15 M. Jaggi L1-Regularized Distributed Optimization:
A Communication-Efficient Primal-Dual Framework
Wednesday, October 7th
9:15 J. Ponce Weakly Supervised Image and Video Interpretation
10:00 Coffee Break
10:15 M. Cuturi New Approaches to Learn with Probability Measures
using Fast Optimal Transport
11:00 G. Peyré Entropic Approximation of Wasserstein Gradient Flow
11:45 Lunch
13:30 M. Teboulle Simple Minimization Algorithms for Difficult Optimization
Problems Illustrated
14:15 Coffee Break
14:45 S. Salzo Consistent Learning by Composite Proximal Thresholding
15:30 A. Beck Primal and Dual Variables Decomposition Methods
in Convex Optimization