Daniel Kuhn: Data-driven and Distributionally Robust Optimization and Applications -- Part 1/2

Daniel Kuhn: Data-driven and Distributionally Robust Optimization and Applications -- Part 2/2

Convex Optimization: An Overview by Stephen Boyd: The 3rd Wook Hyun Kwon Lecture

Miguel Anjos: Introduction to Optimization in Energy -- Part 1/2

2019 TutORial: Wasserstein Distributionally Robust Optimization

Phebe Vayanos, Robust Optimization & Sequential Decision-Making

Nonparametric Bayesian Methods: Models, Algorithms, and Applications I

Spyros Chatzivasileiadis: Physics-Informed Graph Neural Networks for Power Systems

Optimization

Antonio J. Conejo: Adaptive Robust Optimization and its Applications to Power Systems

4 часа Шопена для обучения, концентрации и релаксации

Mathematical Foundations of Robust and Distributionally Robust Optimization

Distributed Optimization via Alternating Direction Method of Multipliers

Data-driven Optimization with Contextual Information:Trading Wind Power and Hydrogen

Андрей Коняев — Бифуркации в быту и в математике

John Tsitsiklis -- Reinforcement Learning

Stochastic Programming & Robust Optimization | Energy Modeling | Guest Lecture

Daniel Kuhn: "Wasserstein Distributionally Robust Optimization: Theory and Applications in Machi..."

Bartolomeo Stellato - Learning for Decision-Making under Uncertainty (ROW Talk)

Machine Learning NeEDS Mathematical Optimization with Prof Daniel Kuhn

Machine learning - Bayesian optimization and multi-armed bandits