Lodi, Andrea

13 publications

ICML 2025 Scalable First-Order Method for Certifying Optimal K-Sparse GLMs Jiachang Liu, Soroosh Shafiee, Andrea Lodi

JMLR 2023 Combinatorial Optimization and Reasoning with Graph Neural Networks Quentin Cappart, Didier Chételat, Elias B. Khalil, Andrea Lodi, Christopher Morris, Petar Veličković

NeurIPS 2022 Learning to Branch with Tree MDPs Lara Scavuzzo, Feng Chen, Didier Chetelat, Maxime Gasse, Andrea Lodi, Neil Yorke-Smith, Karen Aardal

NeurIPS 2022 Learning to Compare Nodes in Branch and Bound with Graph Neural Networks Abdel Ghani Labassi, Didier Chetelat, Andrea Lodi

AAAI 2022 Learning to Search in Local Branching Defeng Liu, Matteo Fischetti, Andrea Lodi

TMLR 2022 Lookback for Learning to Branch Prateek Gupta, Elias Boutros Khalil, Didier Chételat, Maxime Gasse, Andrea Lodi, Yoshua Bengio, M. Pawan Kumar

AAAI 2022 MIP-GNN: A Data-Driven Framework for Guiding Combinatorial Solvers Elias B. Khalil, Christopher Morris, Andrea Lodi

IJCAI 2021 Combinatorial Optimization and Reasoning with Graph Neural Networks Quentin Cappart, Didier Chételat, Elias B. Khalil, Andrea Lodi, Christopher Morris, Petar Velickovic

NeurIPS 2021 Learning to Schedule Heuristics in Branch and Bound Antonia Chmiela, Elias Khalil, Ambros Gleixner, Andrea Lodi, Sebastian Pokutta

AAAI 2021 Parameterizing Branch-and-Bound Search Trees to Learn Branching Policies Giulia Zarpellon, Jason Jo, Andrea Lodi, Yoshua Bengio

NeurIPSW 2020 Ecole: A Gym-like Library for Machine Learning in Combinatorial Optimization Solvers Antoine Prouvost, Justin Dumouchelle, Lara Scavuzzo, Maxime Gasse, Didier Chételat, Andrea Lodi

NeurIPS 2020 Hybrid Models for Learning to Branch Prateek Gupta, Maxime Gasse, Elias Khalil, Pawan Mudigonda, Andrea Lodi, Yoshua Bengio

NeurIPS 2019 Exact Combinatorial Optimization with Graph Convolutional Neural Networks Maxime Gasse, Didier Chetelat, Nicola Ferroni, Laurent Charlin, Andrea Lodi