Your search for Foundations and Trends (R) in Optimization

Information Relaxations and Duality in Stochastic Dynamic Programs

Acceleration Methods

Algorithms for Verifying Deep Neural Networks

Distributionally Robust Learning

Atomic Decomposition via Polar Alignment

Stochastic Optimization Methods for Policy Evaluation in Reinforcement Learning

Numerical Methods for Convex Multistage Stochastic Optimization

A Tutorial on Hadamard Semidifferentials

Low-Rank Semidefinite Programming

Introduction to Online Convex Optimization

Optimization Methods for Financial Index Tracking

Chordal Graphs and Semidefinite Optimization

Performance Bounds and Suboptimal Policies for Multi-Period Investment

Proximal Algorithms

Dynamic Network Energy Management via Proximal Message Passing

Constrained Reinforcement Learning with Average Reward Objective

Massively Parallel Computation