Introduction on Combinatorial Optimization Augmented Machine Learning For Contextual Multi Stage Problems
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An AI approach to underspecified combinatorial optimisation problems, Tias Guns
TutORial: Machine Learning and Data Mining with Combinatorial Optimization Algorithms
FinML — Optimising AB tests with multi-armed bandits
Efficient Active Search for Combinatorial Optimization Problems (INFORMS 2021)
Solving Combinatorial Problems Using Reinforcement Learning and LLMs | Martin Takáč
Maxime Gasse: Ecole: A Gym-like Library for Machine Learning in Combinatorial Optimization Solvers
Multi-Armed Bandit : Data Science Concepts
AI4OPT Seminar Series: Using Machine Learning for Combinatorial Optimization (ML4CO)
Combinatorial Pure Exploration with Limited Observation and Beyond
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Last Updated: September 30, 2026
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Tutorial webpage with slides: sites.google.com/view/ml-co-aaai-21/ Presented by: Elias B. Khalil (University of Toronto), ... The Webinar given by Prof Xiaodong Li from RMIT University, Australia. Organiser: IEEE Taskforce on Evolutionary Scheduling ... Prof. Pierre Schaus introduces Constraint Programming and the OscaR platform developed in his research team that he used to ... Dorit Hochbaum, UC Berkeley Computational Séminaire du GERAD conjoint avec IVADO An AI approach to underspecified By Dorit Simona Hochbaum. The dominant algorithms for Will Badr, AI/ML Solutions Architect, shares his learnings of Optimising A/B Testing Strategies using I present the efficient active search technique for solving Making decisions with limited information!
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