| 2025 | AAAI | DCILP: A Distributed Approach for Large-Scale Causal Structure Learning. | Shuyu Dong, Michle Sebag, Kento Uemura, Akito Fujii, Shuang Chang, Yusuke Koyanagi, Koji Maruhashi |
| 2025 | ICLR | Provably Safeguarding a Classifier from OOD and Adversarial Samples. | Nicolas Atienza, Johanne Cohen, Christophe Labreuche, Michle Sebag |
| 2024 | IJCAI | Cutting the Black Box: Conceptual Interpretation of a Deep Neural Net with Multi-Modal Embeddings and Multi-Criteria Decision Aid. | Nicolas Atienza, Roman Bresson, Cyriaque Rousselot, Philippe Caillou, Johanne Cohen, Christophe Labreuche, Michle Sebag |
| 2024 | IJCAI | Learning Structural Causal Models through Deep Generative Models: Methods, Guarantees, and Challenges. | Audrey Poinsot, Alessandro Ferreira Leite, Nicolas Chesneau, Michle Sebag, Marc Schoenauer |
| 2023 | IJCAI | Toward Job Recommendation for All. | Guillaume Bied, Solal Nathan, Elia Perennes, Morgane Hoffmann, Philippe Caillou, Bruno Crpon, Christophe Gaillac, Michle Sebag |
| 2022 | ICLR | Learning meta-features for AutoML. | Herilalaina Rakotoarison, Louisot Milijaona, Andry Rasoanaivo, Michle Sebag, Marc Schoenauer |
| 2021 | EPIA | I2SL: Learn How to Swarm Autonomous Quadrotors Using Iterative Imitation Supervised Learning. | Omar Shrit, Michle Sebag |
| 2021 | KR | On the Identifiability of Hierarchical Decision Models. | Roman Bresson, Johanne Cohen, Eyke Hllermeier, Christophe Labreuche, Michle Sebag |
| 2020 | ICLR | Dynamic Time Lag Regression: Predicting What & When. | Mandar Chandorkar, Cyril Furtlehner, Bala Poduval, Enrico Camporeale, Michle Sebag |
| 2020 | IJCAI | Neural Representation and Learning of Hierarchical 2-additive Choquet Integrals. | Roman Bresson, Johanne Cohen, Eyke Hllermeier, Christophe Labreuche, Michle Sebag |
| 2019 | ICLR | Multi-Domain Adversarial Learning. | Alice Schoenauer Sebag, Louise Heinrich, Marc Schoenauer, Michle Sebag, Lani F. Wu, Steven J. Altschuler |
| 2019 | IJCAI | Automated Machine Learning with Monte-Carlo Tree Search. | Herilalaina Rakotoarison, Marc Schoenauer, Michle Sebag |
| 2017 | ICTAI | Language Modelling for Collaborative Filtering: Application to Job Applicant Matching. | Thomas Schmitt, Franois Gonard, Phillipe Caillou, Michle Sebag |
| 2016 | ICML | A brief Review of the ChaLearn AutoML Challenge: Any-time Any-dataset Learning without Human Intervention. | Isabelle Guyon, Imad Chaabane, Hugo Jair Escalante, Sergio Escalera, Damir Jajetic, James Robert Lloyd, Nria Maci, Bisakha Ray, Lukasz Romaszko, Michle Sebag, Alexander R. Statnikov, Sbastien Treguer, Evelyne Viegas |
| 2015 | DATA | Collaborative Algorithm Platforms. | Michle Sebag |
| 2014 | BPM | A Recommender System for Process Discovery. | Joel Ribeiro, Josep Carmona, Mustafa Misir, Michle Sebag |
| 2014 | ICML | Programming by Feedback. | Marc Schoenauer, Riad Akrour, Michle Sebag, Jean-Christophe Souplet |
| 2014 | PPSN | Maximum Likelihood-Based Online Adaptation of Hyper-Parameters in CMA-ES. | Ilya Loshchilov, Marc Schoenauer, Michle Sebag, Nikolaus Hansen |
| 2014 | PPSN | Coupling Evolution and Information Theory for Autonomous Robotic Exploration. | Guohua Zhang, Michle Sebag |
| 2013 | ACML | Exploration vs Exploitation vs Safety: Risk-Aware Multi-Armed Bandits. | Nicolas Galichet, Michle Sebag, Olivier Teytaud |
| 2013 | CP | Bandit-Based Search for Constraint Programming. | Manuel Loth, Michle Sebag, Youssef Hamadi, Marc Schoenauer |
| 2013 | GECCO | Intensive surrogate model exploitation in self-adaptive surrogate-assisted cma-es (saacm-es). | Ilya Loshchilov, Marc Schoenauer, Michle Sebag |
| 2013 | GECCO | Bi-population CMA-ES agorithms with surrogate models and line searches. | Ilya Loshchilov, Marc Schoenauer, Michle Sebag |
| 2013 | GECCO | Sustainable cooperative coevolution with a multi-armed bandit. | Franois-Michel De Rainville, Michle Sebag, Christian Gagn, Marc Schoenauer, Denis Laurendeau |
| 2013 | ICASSP | Multi-dimensional sparse structured signal approximation using split bregman iterations. | Yoann Isaac, Quentin Barthlemy, Jamal Atif, Cdric Gouy-Pailler, Michle Sebag |
| 2013 | ICML | Collaborative hyperparameter tuning. | Rmi Bardenet, Mtys Brendel, Balzs Kgl, Michle Sebag |
| 2012 | GECCO | Self-adaptive surrogate-assisted covariance matrix adaptation evolution strategy. | Ilya Loshchilov, Marc Schoenauer, Michle Sebag |
| 2012 | GECCO | Black-box optimization benchmarking of IPOP-saACM-ES and BIPOP-saACM-ES on the BBOB-2012 noiseless testbed. | Ilya Loshchilov, Marc Schoenauer, Michle Sebag |
| 2012 | GECCO | Black-box optimization benchmarking of IPOP-saACM-ES on the BBOB-2012 noisy testbed. | Ilya Loshchilov, Marc Schoenauer, Michle Sebag |
| 2012 | GECCO | Black-box optimization benchmarking of NIPOP-aCMA-ES and NBIPOP-aCMA-ES on the BBOB-2012 noiseless testbed. | Ilya Loshchilov, Marc Schoenauer, Michle Sebag |
| 2012 | PPSN | Alternative Restart Strategies for CMA-ES. | Ilya Loshchilov, Marc Schoenauer, Michle Sebag |
| 2011 | CCGRID | The Grid Observatory. | Ccile Germain-Renaud, Alain Cady, Philippe Gauron, Michel Jouvin, Charles Loomis, Janusz Martyniak, Julien Nauroy, Guillaume Philippon, Michle Sebag |
| 2011 | EMO | Not All Parents Are Equal for MO-CMA-ES. | Ilya Loshchilov, Marc Schoenauer, Michle Sebag |
| 2011 | GECCO | Adaptive coordinate descent. | Ilya Loshchilov, Marc Schoenauer, Michle Sebag |
| 2011 | ICDM | Characterizing Anomalous Behaviors and Revising Robotic Controllers. | David Meunier, Michle Sebag, Shin Ando |
| 2010 | CCGRID | Discovering Piecewise Linear Models of Grid Workload. | Tams ltet, Ccile Germain-Renaud, Pascal Bondon, Michle Sebag |
| 2010 | ECAI | Unsupervised Layer-Wise Model Selection in Deep Neural Networks. | Ludovic Arnold, Hlne Paugam-Moisy, Michle Sebag |
| 2010 | GECCO | Toward comparison-based adaptive operator selection. | lvaro Fialho, Marc Schoenauer, Michle Sebag |
| 2010 | GECCO | Fitness-AUC bandit adaptive strategy selection vs. the probability matching one within differential evolution: an empirical comparison on the bbob-2010 noiseless testbed. | lvaro Fialho, Marc Schoenauer, Michle Sebag |
| 2010 | GECCO | A mono surrogate for multiobjective optimization. | Ilya Loshchilov, Marc Schoenauer, Michle Sebag |
| 2010 | GECCO | A pareto-compliant surrogate approach for multiobjective optimization. | Ilya Loshchilov, Marc Schoenauer, Michle Sebag |
| 2010 | ICDM | K-AP: Generating Specified K Clusters by Efficient Affinity Propagation. | Xiangliang Zhang, Wei Wang, Kjetil Nrvg, Michle Sebag |
| 2010 | ICLP | Building Portfolios for the Protein Structure Prediction Problem. | Alejandro Arbelaez, Youssef Hamadi, Michle Sebag |
| 2010 | ICML | Feature Selection as a One-Player Game. | Romaric Gaudel, Michle Sebag |
| 2010 | ICTAI | Continuous Search in Constraint Programming. | Alejandro Arbelaez, Youssef Hamadi, Michle Sebag |
| 2010 | PPSN | Open-Ended Evolutionary Robotics: An Information Theoretic Approach. | Pierre Delarboulas, Marc Schoenauer, Michle Sebag |
| 2010 | PPSN | Comparison-Based Adaptive Strategy Selection with Bandits in Differential Evolution. | lvaro Fialho, Raymond Ros, Marc Schoenauer, Michle Sebag |
| 2010 | PPSN | Comparison-Based Optimizers Need Comparison-Based Surrogates. | Ilya Loshchilov, Marc Schoenauer, Michle Sebag |
| 2009 | CCGRID | Multi-scale Real-Time Grid Monitoring with Job Stream Mining. | Xiangliang Zhang, Michle Sebag, Ccile Germain-Renaud |
| 2009 | CEC | Memory-enhanced Evolutionary Robotics: The Echo State Network Approach. | Cdric Hartland, Nicolas Bredche, Michle Sebag |
| 2009 | CEC | Extreme compass and Dynamic Multi-Armed Bandits for Adaptive Operator Selection. | Jorge Maturana, lvaro Fialho, Frdric Saubion, Marc Schoenauer, Michle Sebag |
| 2009 | GECCO | Extreme: dynamic multi-armed bandits for adaptive operator selection. | lvaro Fialho, Lus Da Costa, Marc Schoenauer, Michle Sebag |
| 2009 | GECCO | Analysis of adaptive operator selection techniques on the royal road and long k-path problems. | lvaro Fialho, Marc Schoenauer, Michle Sebag |
| 2009 | GECCO | Optimal robust expensive optimization is tractable. | Philippe Rolet, Michle Sebag, Olivier Teytaud |
| 2009 | KDD | Toward autonomic grids: analyzing the job flow with affinity streaming. | Xiangliang Zhang, Cyril Furtlehner, Julien Perez, Ccile Germain-Renaud, Michle Sebag |
| 2008 | GECCO | Adaptive operator selection with dynamic multi-armed bandits. | Lus Da Costa, lvaro Fialho, Marc Schoenauer, Michle Sebag |
| 2008 | PPSN | Extreme Value Based Adaptive Operator Selection. | lvaro Fialho, Lus Da Costa, Marc Schoenauer, Michle Sebag |
| 2007 | GECCO | Ensemble learning for free with evolutionary algorithms? | Christian Gagn, Michle Sebag, Marc Schoenauer, Marco Tomassini |
| 2007 | ICDM | Toward Behavioral Modeling of a Grid System: Mining the Logging and Bookkeeping Files. | Xiangliang Zhang, Michle Sebag, Ccile Germain |
| 2007 | IJCAI | A Machine Learning Approach for Statistical Software Testing. | Nicolas Baskiotis, Michle Sebag, Marie-Claude Gaudel, Sandrine-Dominique Gouraud |
| 2007 | ILP | Structural Statistical Software Testing with Active Learning in a Graph. | Nicolas Baskiotis, Michle Sebag |
| 2007 | ILP | A Phase Transition-Based Perspective on Multiple Instance Kernels. | Romaric Gaudel, Michle Sebag, Antoine Cornujols |
| 2006 | PPSN | Genetic Programming for Kernel-Based Learning with Co-evolving Subsets Selection. | Christian Gagn, Marc Schoenauer, Michle Sebag, Marco Tomassini |
| 2006 | PPSN | Functional Brain Imaging with Multi-objective Multi-modal Evolutionary Optimization. | Vojtech Krmicek, Michle Sebag |
| 2005 | ICDM | Efficient Mining of High Branching Factor Attribute Trees. | Alexandre Termier, Marie-Christine Rousset, Michle Sebag, Kouzou Ohara, Takashi Washio, Hiroshi Motoda |
| 2005 | IJCAI | Phase Transitions within Grammatical Inference. | Nicolas Pernot, Antoine Cornujols, Michle Sebag |
| 2005 | IJCAI | A Multi-Objective Multi-Modal Optimization Approach for Mining Stable Spatio-Temporal Patterns. | Michle Sebag, Nicolas Tarrisson, Olivier Teytaud, Julien Lefvre, Sylvain Baillet |
| 2004 | CIBCB | Feature selection in proteomic pattern data with support vector machines. | Kees Jong, Elena Marchiori, Michle Sebag, Aad van der Vaart |
| 2004 | ICDM | DRYADE: A New Approach for Discovering Closed Frequent Trees in Heterogeneous Tree Databases. | Alexandre Termier, Marie-Christine Rousset, Michle Sebag |
| 2004 | ICML | C4.5 competence map: a phase transition-inspired approach. | Nicolas Baskiotis, Michle Sebag |
| 2004 | PPSN | Robotics and Multi-agent Systems Robustness in the Long Run: Auto-teaching vs Anticipation in Evolutionary Robotics. | Nicolas Godzik, Marc Schoenauer, Michle Sebag |
| 2004 | PPSN | Ensemble Learning with Evolutionary Computation: Application to Feature Ranking. | Kees Jong, Elena Marchiori, Michle Sebag |
| 2003 | ICDM | Impact Studies and Sensitivity Analysis in Medical Data Mining with ROC-based Genetic Learning. | Michle Sebag, Jrme Az, Nol Lucas |
| 2002 | ICDM | TreeFinder: a First Step towards XML Data Mining. | Alexandre Termier, Marie-Christine Rousset, Michle Sebag |
| 2002 | ICML | Constraint-based Learning of Long Relational Concepts. | Jacques Ales Bianchetti, Cline Rouveirol, Michle Sebag |
| 2002 | ILP | A Novel Approach to Machine Discovery: Genetic Programming and Stochastic Grammars. | Alain Ratle, Michle Sebag |
| 2001 | IJCAI | Combining Statistics and Semantics for Word and Document Clustering. | Alexandre Termier, Michle Sebag, Marie-Christine Rousset |
| 2001 | ILP | Theta-Subsumption in a Constraint Satisfaction Perspective. | Jrme Maloberti, Michle Sebag |
| 2000 | CEC | A Distributed Resource Evolutionary Algorithm Machine (DREAM). | Ben Paechter, Thomas Bck, Marc Schoenauer, Michle Sebag, goston E. Eiben, Juan Julin Merelo, Terence C. Fogarty |
| 2000 | ICML | Analyzing Relational Learning in the Phase Transition Framework. | Attilio Giordana, Lorenza Saitta, Michle Sebag, Marco Botta |
| 2000 | ISMIS | Can Relational Learning Scale Up? | Attilio Giordana, Lorenza Saitta, Michle Sebag, Marco Botta |
| 2000 | PPSN | Genetic Programming and Domain Knowledge: Beyond the Limitations of Grammar-Guided Machine Discovery. | Alain Ratle, Michle Sebag |
| 1999 | ESANN | From first order logic to Nd: a data driven reformulation. | Michle Sebag |
| 1999 | IJCAI | Constructive Induction: A Version Space-based Approach. | Michle Sebag |
| 1998 | ILP | A Stochastic Simple Similarity. | Michle Sebag |
| 1998 | PPSN | Extending Population-Based Incremental Learning to Continuous Search Spaces. | Michle Sebag, Antoine Ducoulombier |
| 1997 | ICEC | A society of hill-climbers. | Michle Sebag, Marc Schoenauer |
| 1997 | IJCAI | Tractable Induction and Classification in First Order Logic Via Stochastic Matching. | Michle Sebag, Cline Rouveirol |
| 1997 | ILP | Distance Induction in First Order Logic. | Michle Sebag |
| 1996 | ICML | An Advanced Evolution Should Not Repeat its Past Errors. | Caroline Ravise, Michle Sebag |
| 1996 | ICML | Delaying the Choice of Bias: A Disjunctive Version Space Approach. | Michle Sebag |
| 1996 | ILP | Polynomial-Time Learning in Logic Programming and Constraint Logic Programming. | Michle Sebag, Cline Rouveirol |
| 1996 | PPSN | Mutation by Imitation in Boolean Evolution Strategies. | Michle Sebag, Marc Schoenauer |
| 1996 | PRICAI | Induction of Constraint Logic Programs. | Michle Sebag, Cline Rouveirol, Jean-Francois Puget |
| 1994 | ICML | A Constraint-based Induction Algorithm in FOL. | Michle Sebag |
| 1994 | PPSN | Controlling Crossover through Inductive Learning. | Michle Sebag, Marc Schoenauer |
| 1992 | ECAI | Learning to Control Inconsistent Knowledge. | Michle Sebag, Marc Schoenauer |
| 1990 | ICML | Incremental Learning of Rules and Meta-rules. | Marc Schoenauer, Michle Sebag |