La modélisation multi-agent du marché du travail français. (The multi-agent modelling of the french labor market). - Olivier Goudet (2015)

Learning Bivariate Functional Causal Models. - Olivier Goudet; Diviyan Kalainathan; Michèle Sebag; Isabelle Guyon (Cause Effect Pairs in Machine Learning, 2019)

Evaluation Methods of Cause-Effect Pairs. - Isabelle Guyon; Olivier Goudet; Diviyan Kalainathan (Cause Effect Pairs in Machine Learning, 2019)

Discriminant Learning Machines. - Diviyan Kalainathan; Olivier Goudet; Michèle Sebag; Isabelle Guyon (Cause Effect Pairs in Machine Learning, 2019)

Gradient Descent based Weight Learning for Grouping Problems: Application on Graph Coloring and Equitable Graph Coloring. - Olivier Goudet; Béatrice Duval; Jin-Kao Hao (CoRR, 2019)

On the study of the Beran estimator for generalized censoring indicators. - Mikael Escobar-Bach; Olivier Goudet (CoRR, 2020)

WorkSim: An Agent-Based Model of Labor Markets. - Jean-Daniel Kant; Gérard Ballot; Olivier Goudet (J. Artif. Soc. Soc. Simul., 2020)

Causal Discovery Toolbox: Uncovering causal relationships in Python. - Diviyan Kalainathan; Olivier Goudet; Ritik Dutta (J. Mach. Learn. Res., 2020)

Massively parallel hybrid search for the partial Latin square extension problem. - Olivier Goudet; Jin-Kao Hao (CoRR, 2021)

Population-based gradient descent weight learning for graph coloring problems. - Olivier Goudet; Béatrice Duval; Jin-Kao Hao (Knowl. Based Syst., 2021)

On Monte Carlo Tree Search for Weighted Vertex Coloring. - Cyril Grelier; Olivier Goudet; Jin-Kao Hao (EvoCOP, 2022)

Structural Agnostic Modeling: Adversarial Learning of Causal Graphs. - Diviyan Kalainathan; Olivier Goudet; Isabelle Guyon; David Lopez-Paz; Michèle Sebag (J. Mach. Learn. Res., 2022)

A deep learning guided memetic framework for graph coloring problems. - Olivier Goudet; Cyril Grelier; Jin-Kao Hao (Knowl. Based Syst., 2022)

Monte Carlo Tree Search with Adaptive Simulation: A Case Study on Weighted Vertex Coloring. - Cyril Grelier; Olivier Goudet; Jin-Kao Hao (EvoCOP, 2023)

A Memetic Algorithm for Deinterleaving Pulse Trains. - Jean Pinsolle; Olivier Goudet; Cyrille Enderli; Jin-Kao Hao (EvoCOP, 2023)

New Bounds and Constraint Programming Models for the Weighted Vertex Coloring Problem. - Olivier Goudet; Cyril Grelier; David Lesaint (IJCAI, 2023)

A massively parallel evolutionary algorithm for the partial Latin square extension problem. - Olivier Goudet; Jin-Kao Hao (Comput. Oper. Res., 2023)

Convolutional Neural Networks with Specific Kernels for Computer Chess. - Olivier Goudet; Bhaskar Joshi; Tristan Cazenave (CG, 2024)

Emergence of New Local Search Algorithms with Neuro-Evolution. - Olivier Goudet; Mohamed Salim Amri Sakhri; Adrien Goëffon; Frédéric Saubion (EvoStar, 2024)

A Memetic Algorithm with Adaptive Operator Selection for Graph Coloring. - Cyril Grelier; Olivier Goudet; Jin-Kao Hao (EvoStar, 2024)

Emergence of Strategies for Univariate Estimation-of-Distribution Algorithms with Evolved Neural Networks. - Olivier Goudet; Adrien Goëffon; Frédéric Saubion; Sébastien Vérel (GECCO Companion, 2024)

A large population island framework for the unconstrained binary quadratic problem. - Olivier Goudet; Adrien Goëffon; Jin-Kao Hao (Comput. Oper. Res., 2024)

Deinterleaving of Discrete Renewal Process Mixtures With Application to Electronic Support Measures. - Jean Pinsolle; Olivier Goudet; Cyrille Enderli; Sylvain Lamprier; Jin-Kao Hao (IEEE Trans. Signal Process., 2024)

Meta-learning of Univariate Estimation-of-Distribution Algorithms for Pseudo-Boolean Problems. - Olivier Goudet; Adrien Goëffon; Frédéric Saubion; Sébastien Vérel (EvoCOP@EvoStar, 2025)

Discovering new robust local search algorithms with neuro-evolution. - Mohamed Salim Amri Sakhri; Adrien Goëffon; Olivier Goudet; Frédéric Saubion; Chaïmaâ Touhami (CoRR, 2025)

Combining Monte Carlo Tree Search and Heuristic Search for Weighted Vertex Coloring. - Cyril Grelier; Olivier Goudet; Jin-Kao Hao (SN Comput. Sci., 2025)