Each day (except wednesday) is organized around two sessions: the morning session from 9:00am to 12:00am and an afternoon session at the end of afternoon from 4:45pm until 6:45pm.
The afternoon is free for scientific discussions, possibly on skis.
Program
Monday
Tuesday
Wednesday
- 16:30 - 18:30 Poster session (followed by a banquet)
- Yossi Arjevani Dimension-Free Iteration Complexity of Finite Sum Optimization Problems
- Alberto Bietti Stochastic Optimization with Variance Reduction for Infinite Datasets with Finite-Sum Structure
- Laurent Condat A convex approach to K-means clustering and color image quantization
- Mohamed Ndaoud Optimal variable selection and noisy adaptive compressed sensing
- Steven Diamond Matrix-Free Optimization and Modeling
- Pavel Dvurechensky Gradient Method With Inexact Oracle for Composite Non-Convex Optimization
- John Duchi Composite optimization at Scale: Structures and Solvability of some non-smooth non-convex problems
- Simon Lacoste-Julien Frank-Wolfe Algorithms for Saddle Point Problems and ASAGA: Asynchronous Parallel SAGA
- Alexander Nazin Algorithms of Inertial Mirror Descent in Convex Problems of Stochastic Optimization
- Praneeth Netrapalli Accelerating Stochastic Gradient Descent
- Guillaume Obozinski Cut Pursuit : fast algorithms to learn piecewise constant functions on general weighted graphs
- Dmitry Ostrovsky Structure-Blind Signal Recovery
- Coutney Paquette and Hongzhou Lin Generic acceleration schema beyond convexity
- Fabian Pedregosa Proximal Asynchronous SAGA: A Scalable Parallel Method for Composite Optimization
- Vincent Roulet Restart, Sharpness and Acceleration
- Damien Scieur Regularized Nonlinear Acceleration
- Vladimir Spokoiny Adaptive nonparametric clustering
- Masashi Sugiyama Semi-Supervised Classification Based on Classification from Positive and Unlabeled Data
- Alex Wein Non-Detection in Spiked Matrix Models
Thursday
Friday