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Andrea Lodi - Structured Pruning of Neural Networks for Constraints Learning

Andrea Lodi - Structured Pruning of Neural Networks for Constraints Learning

Timo Berthold - MIP Solving: Branching

Timo Berthold - MIP Solving: Branching

Interpretable Machine Learning - Born-Again Tree Ensembles

Interpretable Machine Learning - Born-Again Tree Ensembles

Improving Branch-and-Bound using Decision Diagrams and Reinforcement Learning

Improving Branch-and-Bound using Decision Diagrams and Reinforcement Learning

Laurent Charlin: "Exact Combinatorial Optimization with Graph Convolutional Neural Networks"

Laurent Charlin: "Exact Combinatorial Optimization with Graph Convolutional Neural Networks"

[Tutorial - MICRO 2020] ConfuciuX: Hardware Design-space Exploration via RL and Optimization

[Tutorial - MICRO 2020] ConfuciuX: Hardware Design-space Exploration via RL and Optimization

Thibaut Vidal - Born-Again Tree Ensembles: Seeing the Forest for the Trees

Thibaut Vidal - Born-Again Tree Ensembles: Seeing the Forest for the Trees

YOUNG Seminar Series Machine Learning NeEDS Mathematical Optimization on March 13, 2023

YOUNG Seminar Series Machine Learning NeEDS Mathematical Optimization on March 13, 2023

Pascal Van Hentenryck – End-to-End Learning and Optimization for Engineering Applications

Pascal Van Hentenryck – End-to-End Learning and Optimization for Engineering Applications