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Elias B. Khalil Learning Combinatorial Optimization Algorithms over Graphs
Machine Learning for Combinatorial Optimization: Some Empirical Studies
Pawel Lichocki - Combinatorial Optimization @ Google
Tias Guns - Prediction + Optimisation: without and with decision-focused learning - IPAM at UCLA
Machine learning assisted hyper-heuristics for online combinatorial optimization problems
An Ising Computing to Solve Combinitorial Optimization Problems
Deep Reinforcement Learning for Online Combinatorial Optimization: The Case of Bipartite Matching
TILOS Seminar: Machine learning for discrete optimization: Theoretical foundations
14. Neural Combinatorial Optimization with Reinforcement Learning. Samy Bengio
Bistra Dilkina: Decision-focused learning: integrating downstream combinatorics in ML
AI4OPT Seminar Series: Using Machine Learning for Combinatorial Optimization (ML4CO)
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Last Updated: October 19, 2026
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Speaker: Prof Xiaodong Li (RMIT University) Summary: In the big data era, we frequently encounter Part of CO co-at-work.zib.de/ References: • Y. Bengio, A. Lodi, A. Prouvost (2018) - Tutorial webpage with slides: sites.google.com/view/ml-co-aaai-21/ Presented Paper: arxiv.org/abs/1704.01665 Slides: dropbox.com/s/73pjzjt5nu4t3ln/Elias_EindhovenRLSeminar.pdf?dl=0. 2022 Data-driven Optimization Workshop: Google OR tools: developers.google.com/ Recorded 02 March 2023. Tias Guns of KU Leuven presents " Shape of landscape of Ising model energy same as KPI plot of Speaker: Elias Khalil Affiliation: University of Toronto Abstract: From assigning computing tasks to servers and advertisements to ...
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