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06/30/2022
Lookback for Learning to Branch
The expressive and computationally inexpensive bipartite Graph Neural Ne...
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05/23/2022
Learning to branch with Tree MDPs
State-of-the-art Mixed Integer Linear Program (MILP) solvers combine sys...
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03/04/2022
The Machine Learning for Combinatorial Optimization Competition (ML4CO): Results and Insights
Combinatorial optimization is a well-established area in operations rese...
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06/28/2021
Causal Reinforcement Learning using Observational and Interventional Data
Learning efficiently a causal model of the environment is a key challeng...
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04/06/2021
Ecole: A Library for Learning Inside MILP Solvers
In this paper we describe Ecole (Extensible Combinatorial Optimization L...
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11/11/2020
Ecole: A Gym-like Library for Machine Learning in Combinatorial Optimization Solvers
We present Ecole, a new library to simplify machine learning research fo...
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06/26/2020
Hybrid Models for Learning to Branch
A recent Graph Neural Network (GNN) approach for learning to branch has ...
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06/04/2019
Exact Combinatorial Optimization with Graph Convolutional Neural Networks
Combinatorial optimization problems are typically tackled by the branch-...
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06/18/2015
A hybrid algorithm for Bayesian network structure learning with application to multi-label learning
We present a novel hybrid algorithm for Bayesian network structure learn...
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05/19/2015
