Vidal, Thibaut

10 publications

TMLR 2025 Boosting Revisited: Benchmarking and Advancing LP-Based Ensemble Methods Fabian Akkerman, Julien Ferry, Christian Artigues, Emmanuel Hebrard, Thibaut Vidal

AAAI 2025 Free Lunch in the Forest: Functionally-Identical Pruning of Boosted Tree Ensembles Youssouf Emine, Alexandre Forel, Idriss Malek, Thibaut Vidal

NeurIPS 2025 From Counterfactuals to Trees: Competitive Analysis of Model Extraction Attacks Awa Khouna, Julien Ferry, Thibaut Vidal

ICML 2024 CF-OPT: Counterfactual Explanations for Structured Prediction Germain Vivier-Ardisson, Alexandre Forel, Axel Parmentier, Thibaut Vidal

NeurIPS 2024 DistrictNet: Decision-Aware Learning for Geographical Districting Cheikh Ahmed, Alexandre Forel, Axel Parmentier, Thibaut Vidal

ICML 2024 Trained Random Forests Completely Reveal Your Dataset Julien Ferry, Ricardo Fukasawa, Timothée Pascal, Thibaut Vidal

ICML 2023 Explainable Data-Driven Optimization: From Context to Decision and Back Again Alexandre Forel, Axel Parmentier, Thibaut Vidal

AAAI 2023 Optimal Decision Diagrams for Classification Alexandre M. Florio, Pedro Martins, Maximilian Schiffer, Thiago Serra, Thibaut Vidal

ICML 2021 Optimal Counterfactual Explanations in Tree Ensembles Axel Parmentier, Thibaut Vidal

ICML 2020 Born-Again Tree Ensembles Thibaut Vidal, Maximilian Schiffer