High-Dimensional Statistics
Sparse Exponential Weighting and Langevin Monte-Carlo
On Recent Trends in Extremely Large-Scale Convex Optimization
Topics in Mathematics of Data Science
Optimization Algorithms in Support Vector Machines
Optimization in Machine Learning: Recent Developments and Current Challenges
Poster Spotlights 1
Convex Optimization with Abstract Linear Operators
Optimal Computational Trade-Off of Inexact Proximal Methods
Principles of Very Large Scale Modeling