Teytaud, Olivier

12 publications

NeurIPS 2025 From Bytes to Ideas: Language Modeling with Autoregressive U-Nets Mathurin Videau, Badr Youbi Idrissi, Alessandro Leite, Marc Schoenauer, Olivier Teytaud, David Lopez-Paz

TMLR 2025 Lognormal Mutations and Their Use in Detecting Surreptitious Fake Images Olivier Teytaud, Mariia Zameshina, Tom Sander, Pierre Fernandez, Furong Ye, Laurent Najman, Thomas Bäck, Ismail Labiad

TMLR 2025 Mixture of Experts for Image Classification: What's the Sweet Spot? Mathurin Videau, Alessandro Leite, Marc Schoenauer, Olivier Teytaud

TMLR 2023 Towards a General Transfer Approach for Policy-Value Networks Dennis J. N. J. Soemers, Vegard Mella, Eric Piette, Matthew Stephenson, Cameron Browne, Olivier Teytaud

NeurIPS 2020 Adversarial Attacks on Linear Contextual Bandits Evrard Garcelon, Baptiste Roziere, Laurent Meunier, Jean Tarbouriech, Olivier Teytaud, Alessandro Lazaric, Matteo Pirotta

ICML 2020 Fully Parallel Hyperparameter Search: Reshaped Space-Filling Marie-Liesse Cauwet, Camille Couprie, Julien Dehos, Pauline Luc, Jeremy Rapin, Morgane Riviere, Fabien Teytaud, Olivier Teytaud, Nicolas Usunier

ECML-PKDD 2013 Continuous Upper Confidence Trees with Polynomial Exploration - Consistency David Auger, Adrien Couëtoux, Olivier Teytaud

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

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

ECML-PKDD 2010 Complexity Bounds for Batch Active Learning in Classification Philippe Rolet, Olivier Teytaud

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

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