Sebag, Michele

53 publications

AAAI 2025 DCILP: A Distributed Approach for Large-Scale Causal Structure Learning Shuyu Dong, Michèle Sebag, Kento Uemura, Akito Fujii, Shuang Chang, Yusuke Koyanagi, Koji Maruhashi

ICLR 2025 Provably Safeguarding a Classifier from OOD and Adversarial Samples Nicolas Atienza, Johanne Cohen, Christophe Labreuche, Michele Sebag

IJCAI 2024 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, Michèle Sebag

ECML-PKDD 2024 Frugal Generative Modeling for Tabular Data Alice Lacan, Blaise Hanczar, Michèle Sebag

IJCAI 2024 Learning Structural Causal Models Through Deep Generative Models: Methods, Guarantees, and Challenges Audrey Poinsot, Alessandro Ferreira Leite, Nicolas Chesneau, Michèle Sebag, Marc Schoenauer

IJCAI 2023 Toward Job Recommendation for All Guillaume Bied, Solal Nathan, Elia Perennes, Morgane Hoffmann, Philippe Caillou, Bruno Crépon, Christophe Gaillac, Michèle Sebag

ECML-PKDD 2022 From Graphs to DAGs: A Low-Complexity Model and a Scalable Algorithm Shuyu Dong, Michèle Sebag

ICLR 2022 Learning Meta-Features for AutoML Herilalaina Rakotoarison, Louisot Milijaona, Andry Rasoanaivo, Michele Sebag, Marc Schoenauer

JMLR 2022 Structural Agnostic Modeling: Adversarial Learning of Causal Graphs Diviyan Kalainathan, Olivier Goudet, Isabelle Guyon, David Lopez-Paz, Michèle Sebag

ICLR 2020 Dynamic Time Lag Regression: Predicting What & When Mandar Chandorkar, Cyril Furtlehner, Bala Poduval, Enrico Camporeale, Michele Sebag

IJCAI 2020 Neural Representation and Learning of Hierarchical 2-Additive Choquet Integrals Roman Bresson, Johanne Cohen, Eyke Hüllermeier, Christophe Labreuche, Michèle Sebag

ECML-PKDD 2019 Agnostic Feature Selection Guillaume Doquet, Michèle Sebag

IJCAI 2019 Automated Machine Learning with Monte-Carlo Tree Search Herilalaina Rakotoarison, Marc Schoenauer, Michèle Sebag

ECML-PKDD 2019 From Abstract Items to Latent Spaces to Observed Data and Back: Compositional Variational Auto-Encoder Victor Berger, Michèle Sebag

ICLR 2019 Multi-Domain Adversarial Learning Alice Schoenauer-Sebag, Louise Heinrich, Marc Schoenauer, Michele Sebag, Lani F. Wu, Steve J. Altschuler

AutoML 2016 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, Núria Macià, Bisakha Ray, Lukasz Romaszko, Michèle Sebag, Alexander Statnikov, Sébastien Treguer, Evelyne Viegas

ECML-PKDD 2016 Anti Imitation-Based Policy Learning Michèle Sebag, Riad Akrour, Basile Mayeur, Marc Schoenauer

ECML-PKDD 2014 Combination of One-Class Support Vector Machines for Classification with Reject Option Blaise Hanczar, Michèle Sebag

ECML-PKDD 2014 Experimental Design in Dynamical System Identification: A Bandit-Based Active Learning Approach Artémis Llamosi, Adel Mezine, Florence d'Alché-Buc, Véronique Letort, Michèle Sebag

ICML 2014 Programming by Feedback Marc Schoenauer, Riad Akrour, Michele Sebag, Jean-Christophe Souplet

ICML 2013 Collaborative Hyperparameter Tuning Rémi Bardenet, Mátyás Brendel, Balázs Kégl, Michèle Sebag

ACML 2013 Exploration vs Exploitation vs Safety: Risk-Aware Multi-Armed Bandits Nicolas Galichet, Michèle Sebag, Olivier Teytaud

MLJ 2013 Hypervolume Indicator and Dominance Reward Based Multi-Objective Monte-Carlo Tree Search Weijia Wang, Michèle Sebag

ECML-PKDD 2012 APRIL: Active Preference Learning-Based Reinforcement Learning Riad Akrour, Marc Schoenauer, Michèle Sebag

ACML 2012 Multi-Objective Monte-Carlo Tree Search Weijia Wang, Michèle Sebag

ACML 2011 Continuous Rapid Action Value Estimates Adrien Couëtoux, Mario Milone, Mátyás Brendel, Hassan Doghmen, Michèle Sebag, Olivier Teytaud

ECML-PKDD 2011 Preference-Based Policy Learning Riad Akrour, Marc Schoenauer, Michèle Sebag

ICML 2010 Feature Selection as a One-Player Game Romaric Gaudel, Michèle Sebag

ECML-PKDD 2010 Machine Learning and Knowledge Discovery in Databases, European Conference, ECML PKDD 2010, Barcelona, Spain, September 20-24, 2010, Proceedings, Part I José L. Balcázar, Francesco Bonchi, Aristides Gionis, Michèle Sebag

ECML-PKDD 2010 Machine Learning and Knowledge Discovery in Databases, European Conference, ECML PKDD 2010, Barcelona, Spain, September 20-24, 2010, Proceedings, Part II José L. Balcázar, Francesco Bonchi, Aristides Gionis, Michèle Sebag

ECML-PKDD 2010 Machine Learning and Knowledge Discovery in Databases, European Conference, ECML PKDD 2010, Barcelona, Spain, September 20-24, 2010, Proceedings, Part III José L. Balcázar, Francesco Bonchi, Aristides Gionis, Michèle Sebag

MLJ 2010 Special Issue for ECML PKDD 2010: Guest Editors' Introduction José L. Balcázar, Francesco Bonchi, Aristides Gionis, Michèle Sebag

NeurIPS 2010 SpikeAnts, a Spiking Neuron Network Modelling the Emergence of Organization in a Complex System Sylvain Chevallier, Hél\`ene Paugam-moisy, Michele Sebag

ECML-PKDD 2009 Boosting Active Learning to Optimality: A Tractable Monte-Carlo, Billiard-Based Algorithm Philippe Rolet, Michèle Sebag, Olivier Teytaud

ECML-PKDD 2008 Data Streaming with Affinity Propagation Xiangliang Zhang, Cyril Furtlehner, Michèle Sebag

IJCAI 2007 A Machine Learning Approach for Statistical Software Testing Nicolas Baskiotis, Michèle Sebag, Marie-Claude Gaudel, Sandrine-Dominique Gouraud

IJCAI 2005 A Multi-Objective Multi-Modal Optimization Approach for Mining Stable Spatio-Temporal Patterns Michèle Sebag, Nicolas Tarrisson, Olivier Teytaud, Julien Lefèvre, Sylvain Baillet

IJCAI 2005 Phase Transitions Within Grammatical Inference Nicolas Pernot, Antoine Cornuéjols, Michèle Sebag

ICML 2004 C4.5 Competence mAP: A Phase Transition-Inspired Approach Nicolas Baskiotis, Michèle Sebag

MLJ 2004 Fast Theta-Subsumption with Constraint Satisfaction Algorithms Jérôme Maloberti, Michèle Sebag

JMLR 2003 Relational Learning as Search in a Critical Region Marco Botta, Attilio Giordana, Lorenza Saitta, Michèle Sebag

ICML 2002 Constraint-Based Learning of Long Relational Concepts Jacques Ales Bianchetti, Céline Rouveirol, Michèle Sebag

ICML 2000 Analyzing Relational Learning in the Phase Transition Framework Attilio Giordana, Lorenza Saitta, Michèle Sebag, Marco Botta

MLJ 2000 Any-Time Relational Reasoning: Resource-Bounded Induction and Deduction Through Stochastic Matching Michèle Sebag, Céline Rouveirol

IJCAI 1999 Constructive Induction: A Version Space-Based Approach Michèle Sebag

ECML-PKDD 1998 Continuous Mimetic Evolution Antoine Ducoulombier, Michèle Sebag

IJCAI 1997 Tractable Induction and Classification in First Order Logic via Stochastic Matching Michèle Sebag, Céline Rouveirol

ICML 1996 An Advanced Evolution Should Not Repeat Its past Errors Caroline Ravise, Michèle Sebag

ICML 1996 Delaying the Choice of Bias: A Disjunctive Version Space Approach Michèle Sebag

ECML-PKDD 1995 An Induction-Based Control for Genetic Algorithms (Extended Abstract) Michèle Sebag, Marc Schoenauer, Caroline Ravise

ICML 1994 A Constraint-Based Induction Algorithm in FOL Michèle Sebag

ECML-PKDD 1994 Using Constraints to Building Version Spaces Michèle Sebag

ICML 1990 Incremental Learning of Rules and Meta-Rules Marc Schoenauer, Michèle Sebag