Optimization

ICM 2026 - IMU Abacus Medal Lecture - Shayan Oveis Gharan

ICM 2026 Carl Friedrich Gauss Prize Lecture - Yurii Nesterov

Stanford AA203 Optimal and Learning-Based Control | Spring 2026 | Lecture 2: Optimization Theory

Tensor Networks for Constrained Combinatorial Optimization Javier Lopez Piqueres

Astral Space: Convex Analysis at Infinity

Carlos Hernández

Alexandre d'Aspremont

"De Cauchy aux réseaux de neurones, la descente de gradient et ses variantes" par Simon Masnou

From Cauchy to neural networks, gradient descent and its variants

AI4OPT Seminar: Optimizing over trained neural network surrogates

AI4OPT Seminar: Fast algorithms for large-scale optimization in renewable-rich power systems

Boris Kramer - Robust Design Optimization - IPAM at UCLA

From the Ball-proximal (Broximal) Point Method to Efficient Training of LLM

Mr. Marco Cuturi | Optimal Transport in Data Sciences

Gradient optimization methods: the benefits of instability

Eliad Tsfadia - Differentially Private Quasi-Concave Optimization (Eng)

"Optimisation de forme et de topologie des structures : ancien et nouveau" par Grégoire Allaire

Shape and topology optimization of structures: old and new by Grégoire Allaire

Talk by Ali Kavis (UT Austin)

6.8210 Spring 2024 Lecture 17: Mixed-discrete (combinatorial) and continuous optimization

Qiskit FalllFest CIC-IPN Mexico 2022- Combinatorial optimisation through OpenQAOA

Introduction to Quadratic Programming

Semidefinite relaxation problems || @ CMU || Recitation 10 of CS Theory Toolkit

Linear Programming problems, and Convex Programming || @ CMU || Recitation 9 of CS Theory Toolkit

Review of Optimization: MIT 6.832 Underactuated Robotics (Spring 2022)

A general numerical optimization pattern/algorithm

optimization - quadratic form

Solving the Max-Cut SDP || @ CMU || Lecture 19c of CS Theory Toolkit

6.832 Lecture 08 clip1 (convex optimization)

6.832 Lecture 08 clip 3 (SOS programming)