Philippe Preux

ORCID

Publication Activity (10 Years)

Years Active: 1990-2024
Publications (10 Years): 61

Top Venues

Publications

Hector Kohler, Quentin Delfosse, Riad Akrour, Kristian Kersting, Philippe Preux
Interpretable and Editable Programmatic Tree Policies for Reinforcement Learning. CoRR (2024)
Timothée Mathieu, Philippe Preux
Statistical comparison in empirical computer science with minimal computation usage. ACM-REP (2024)
Eduardo Charles Vasconcellos, Ronald M. Sampaio, André P. D. de Araújo, Esteban Walter Gonzales Clua, Philippe Preux, Raphael Guerra, Luiz M. G. Gonçalves, Luis Martí, Hernan Lira, Nayat Sánchez Pi
Reinforcement-learning robotic sailboats: simulator and preliminary results. CoRR (2024)
Pierre Erbacher, Jian-Yun Nie, Philippe Preux, Laure Soulier
PAQA: Toward ProActive Open-Retrieval Question Answering. CoRR (2024)
André Paulo Dantas de Araújo, Dickson H. J. Daniel, Raphael Guerra, Diego N. Brandão, Eduardo Charles Vasconcellos, Álvaro Pinto Fernandes de Negreiros, Esteban Walter Gonzalez Clua, Luiz M. G. Gonçalves, Philippe Preux
General System Architecture and COTS Prototyping of an AIoT-Enabled Sailboat for Autonomous Aquatic Ecosystem Monitoring. IEEE Internet Things J. 11 (3) (2024)
Hector Kohler, Quentin Delfosse, Paul Festor, Philippe Preux
Towards a Research Community in Interpretable Reinforcement Learning: the InterpPol Workshop. CoRR (2024)
Pierre Erbacher, Jian-Yun Nie, Philippe Preux, Laure Soulier
Augmenting Ad-Hoc IR Dataset for Interactive Conversational Search. Trans. Mach. Learn. Res. 2024 (2024)
Pierre Erbacher, Jian-Yun Nie, Philippe Preux, Laure Soulier
Augmenting Ad-Hoc IR Dataset for Interactive Conversational Search. CoRR (2023)
Pierre Erbacher, Philippe Preux, Jian-Yun Nie, Laure Soulier
Augmentation de jeux de données RI pour la recherche conversationnelle à initiative mixte. CORIA-TALN (2023)
Hector Kohler, Riad Akrour, Philippe Preux
Discovering the Interpretability-Performance Pareto Front of Decision Trees with Dynamic Programming. CoRR (2023)
Hector Kohler, Riad Akrour, Philippe Preux
Optimal Interpretability-Performance Trade-off of Classification Trees with Black-Box Reinforcement Learning. CoRR (2023)
Timothée Mathieu, Riccardo Della Vecchia, Alena Shilova, Matheus Centa de Medeiros, Hector Kohler, Odalric-Ambrym Maillard, Philippe Preux
AdaStop: sequential testing for efficient and reliable comparisons of Deep RL Agents. CoRR (2023)
Patrick Saux, Pierre Bauvin, Violeta Raverdy, Julien Teigny, Hélène Verkindt, Tomy Soumphonphakdy, Maxence Debert, Anne Jacobs, Daan Jacobs, Valerie Monpellier, Phong Ching Lee, Chin Hong Lim, Johanna C. Andersson-Assarsson, Lena M. S. Carlsson, Per-Arne Svensson, Florence Galtier, Guelareh Dezfoulian, Mihaela Moldovanu, Severine Andrieux, Julien Couster, Marie Lepage, Erminia Lembo, Ornella Verrastro, Maud Robert, Paulina Salminen, Geltrude Mingrone, Ralph Peterli, Ricardo V. Cohen, Carlos Zerrweck, David Nocca, Carel W. Le Roux, Robert Caiazzo, Philippe Preux, François Pattou
Development and validation of an interpretable machine learning-based calculator for predicting 5-year weight trajectories after bariatric surgery: a multinational retrospective cohort SOPHIA study. CoRR (2023)
Matheus Centa, Philippe Preux
Soft Action Priors: Towards Robust Policy Transfer. AAAI (2023)
Pierre Schegg, Jérémie Dequidt, Eulalie Coevoet, Edouard Leurent, Rémi Sabatier, Philippe Preux, Christian Duriez
Automated Planning for Robotic Guidewire Navigation in the Coronary Arteries. RoboSoft (2022)
Matheus Centa, Philippe Preux
Soft Action Priors: Towards Robust Policy Transfer. CoRR (2022)
Romain Gautron, Odalric-Ambrym Maillard, Philippe Preux, Marc Corbeels, Régis Sabbadin
Reinforcement learning for crop management support: Review, prospects and challenges. Comput. Electron. Agric. 200 (2022)
Riccardo Della Vecchia, Alena Shilova, Philippe Preux, Riad Akrour
Entropy Regularized Reinforcement Learning with Cascading Networks. CoRR (2022)
Romain Gautron, Emilio J. Padrón, Philippe Preux, Julien Bigot, Odalric-Ambrym Maillard, David Emukpere
gym-DSSAT: a crop model turned into a Reinforcement Learning environment. CoRR (2022)
Toby Johnstone, Nathan Grinsztajn, Johan Ferret, Philippe Preux
More Efficient Exploration with Symbolic Priors on Action Sequence Equivalences. CoRR (2021)
Nathan Grinsztajn, Johan Ferret, Olivier Pietquin, Philippe Preux, Matthieu Geist
There Is No Turning Back: A Self-Supervised Approach for Reversibility-Aware Reinforcement Learning. NeurIPS (2021)
Yannis Flet-Berliac, Reda Ouhamma, Odalric-Ambrym Maillard, Philippe Preux
Learning Value Functions in Deep Policy Gradients using Residual Variance. ICLR (2021)
Nathan Grinsztajn, Philippe Preux, Edouard Oyallon
Low-Rank Projections of GCNs Laplacian. CoRR (2021)
Mathieu Seurin, Florian Strub, Philippe Preux, Olivier Pietquin
Don't Do What Doesn't Matter: Intrinsic Motivation with Action Usefulness. IJCAI (2021)
Nathan Grinsztajn, Louis Leconte, Philippe Preux, Edouard Oyallon
Interferometric Graph Transform for Community Labeling. CoRR (2021)
Mathieu Seurin, Florian Strub, Philippe Preux, Olivier Pietquin
Don't Do What Doesn't Matter: Intrinsic Motivation with Action Usefulness. CoRR (2021)
Yannis Flet-Berliac, Johan Ferret, Olivier Pietquin, Philippe Preux, Matthieu Geist
Adversarially Guided Actor-Critic. ICLR (2021)
Nathan Grinsztajn, Olivier Beaumont, Emmanuel Jeannot, Philippe Preux
READYS: A Reinforcement Learning Based Strategy for Heterogeneous Dynamic Scheduling. CLUSTER (2021)
Yannis Flet-Berliac, Johan Ferret, Olivier Pietquin, Philippe Preux, Matthieu Geist
Adversarially Guided Actor-Critic. CoRR (2021)
Nathan Grinsztajn, Johan Ferret, Olivier Pietquin, Philippe Preux, Matthieu Geist
There Is No Turning Back: A Self-Supervised Approach for Reversibility-Aware Reinforcement Learning. CoRR (2021)
Mathieu Seurin, Florian Strub, Philippe Preux, Olivier Pietquin
A Machine of Few Words: Interactive Speaker Recognition with Reinforcement Learning. INTERSPEECH (2020)
Mathieu Seurin, Philippe Preux, Olivier Pietquin
"I'm Sorry Dave, I'm Afraid I Can't Do That" Deep Q-Learning from Forbidden Actions. IJCNN (2020)
Yannis Flet-Berliac, Reda Ouhamma, Odalric-Ambrym Maillard, Philippe Preux
Is Standard Deviation the New Standard? Revisiting the Critic in Deep Policy Gradients. CoRR (2020)
Yannis Flet-Berliac, Philippe Preux
Only Relevant Information Matters: Filtering Out Noisy Samples To Boost RL. IJCAI (2020)
Nathan Grinsztajn, Olivier Beaumont, Emmanuel Jeannot, Philippe Preux
Geometric deep reinforcement learning for dynamic DAG scheduling. SSCI (2020)
Nathan Grinsztajn, Olivier Beaumont, Emmanuel Jeannot, Philippe Preux
Geometric Deep Reinforcement Learning for Dynamic DAG Scheduling. CoRR (2020)
Mathieu Seurin, Florian Strub, Philippe Preux, Olivier Pietquin
A Machine of Few Words - Interactive Speaker Recognition with Reinforcement Learning. CoRR (2020)
Yannis Flet-Berliac, Philippe Preux
High-Dimensional Control Using Generalized Auxiliary Tasks. CoRR (2019)
Mathieu Seurin, Philippe Preux, Olivier Pietquin
"I'm sorry Dave, I'm afraid I can't do that" Deep Q-learning from forbidden action. CoRR (2019)
Tanguy Levent, Philippe Preux, Erwan Le Pennec, Jordi Badosa, Gonzague Henri, Yvan Bonnassieux
Energy Management for Microgrids: a Reinforcement Learning Approach. ISGT Europe (2019)
Yannis Flet-Berliac, Philippe Preux
Samples are not all useful: Denoising policy gradient updates using variance. CoRR (2019)
Kiewan Villatel, Elena Smirnova, Jérémie Mary, Philippe Preux
Recurrent Neural Networks for Long and Short-Term Sequential Recommendation. CoRR (2018)
Florian Strub, Mathieu Seurin, Ethan Perez, Harm de Vries, Jérémie Mary, Philippe Preux, Aaron C. Courville, Olivier Pietquin
Visual Reasoning with Multi-hop Feature Modulation. ECCV (5) (2018)
Benjamin Danglot, Philippe Preux, Benoit Baudry, Martin Monperrus
Correctness attraction: a study of stability of software behavior under runtime perturbation. ICSE (2018)
Benjamin Danglot, Philippe Preux, Benoit Baudry, Martin Monperrus
Correctness attraction: a study of stability of software behavior under runtime perturbation. Empir. Softw. Eng. 23 (4) (2018)
Vincenzo Musco, Martin Monperrus, Philippe Preux
A Large-Scale Study of Call Graph-based Impact Prediction using Mutation Testing. CoRR (2018)
Florian Strub, Mathieu Seurin, Ethan Perez, Harm de Vries, Jérémie Mary, Philippe Preux, Aaron C. Courville, Olivier Pietquin
Visual Reasoning with Multi-hop Feature Modulation. CoRR (2018)
Vincenzo Musco, Martin Monperrus, Philippe Preux
A large-scale study of call graph-based impact prediction using mutation testing. Softw. Qual. J. 25 (3) (2017)
Georgios Papoudakis, Philippe Preux, Martin Monperrus
A Generative Model for Sparse, Evolving Digraphs. COMPLEX NETWORKS (2017)
Georgios Papoudakis, Philippe Preux, Martin Monperrus
A generative model for sparse, evolving digraphs. CoRR (2017)
Crícia Z. Felício, Klérisson V. R. Paixão, Célia A. Zorzo Barcelos, Philippe Preux
A Multi-Armed Bandit Model Selection for Cold-Start User Recommendation. UMAP (2017)
Benjamin Danglot, Philippe Preux, Benoit Baudry, Martin Monperrus
Correctness Attraction: A Study of Stability of Software Behavior Under Runtime Perturbation. CoRR (2016)
Frédéric Guillou, Romaric Gaudel, Philippe Preux
Scalable Explore-Exploit Collaborative filtering. PACIS (2016)
Hachem Kadri, Emmanuel Duflos, Philippe Preux, Stéphane Canu, Alain Rakotomamonjy, Julien Audiffren
Operator-valued Kernels for Learning from Functional Response Data. J. Mach. Learn. Res. 17 (2016)
Vincenzo Musco, Antonin Carette, Martin Monperrus, Philippe Preux
A learning algorithm for change impact prediction. RAISE@ICSE (2016)
Crícia Z. Felício, Klérisson V. R. Paixão, Guilherme Alves, Sandra de Amo, Philippe Preux
Exploiting Social Information in Pairwise Preference Recommender System. J. Inf. Data Manag. 7 (2) (2016)
Vincenzo Musco, Martin Monperrus, Philippe Preux
Mutation-Based Graph Inference for Fault Localization. SCAM (2016)
Crícia Z. Felício, Klérisson V. R. Paixão, Célia A. Z. Barcelos, Philippe Preux
Preference-Like Score to Cope with Cold-Start User in Recommender Systems. ICTAI (2016)
Azadeh Khaleghi, Daniil Ryabko, Jérémie Mary, Philippe Preux
Consistent Algorithms for Clustering Time Series. J. Mach. Learn. Res. 17 (2016)
Frédéric Guillou, Romaric Gaudel, Philippe Preux
Large-Scale Bandit Recommender System. MOD (2016)
Frédéric Guillou, Romaric Gaudel, Philippe Preux
Sequential Collaborative Ranking Using (No-)Click Implicit Feedback. ICONIP (2) (2016)
Vincenzo Musco, Antonin Carette, Martin Monperrus, Philippe Preux
A Learning Algorithm for Change Impact Prediction: Experimentation on 7 Java Applications. CoRR (2015)
Vincenzo Musco, Martin Monperrus, Philippe Preux
An Experimental Protocol for Analyzing the Accuracy of Software Error Impact Analysis. AST@ICSE (2015)
Hachem Kadri, Emmanuel Duflos, Philippe Preux, Stéphane Canu, Alain Rakotomamonjy, Julien Audiffren
Operator-valued Kernels for Learning from Functional Response Data. CoRR (2015)
Jérémie Mary, Romaric Gaudel, Philippe Preux
Bandits and Recommender Systems. MOD (2015)
Bilel Derbel, Philippe Preux
Simultaneous optimistic optimization on the noiseless BBOB testbed. CEC (2015)
Hai Thanh Nguyen, Jérémie Mary, Philippe Preux
Cold-start Problems in Recommendation Systems via Contextual-bandit Algorithms. CoRR (2014)
Vincenzo Musco, Martin Monperrus, Philippe Preux
A Generative Model of Software Dependency Graphs to Better Understand Software Evolution. CoRR (2014)
Jérémie Mary, Romaric Gaudel, Philippe Preux
Bandits Warm-up Cold Recommender Systems. CoRR (2014)
Jérémie Mary, Philippe Preux, Olivier Nicol
Improving offline evaluation of contextual bandit algorithms via bootstrapping techniques. ICML (2014)
Boris Baldassari, Flavien Huynh, Philippe Preux
De l'ombre à la lumière : plus de visibilité sur l'Eclipse. EGC (2014)
Boris Baldassari, Philippe Preux
Understanding software evolution: the maisqual ant data set. MSR (2014)
Philippe Preux, Rémi Munos, Michal Valko
Bandits attack function optimization. IEEE Congress on Evolutionary Computation (2014)
Olivier Nicol, Jérémie Mary, Philippe Preux
Improving offline evaluation of contextual bandit algorithms via bootstrapping techniques. CoRR (2014)
Hachem Kadri, Mohammad Ghavamzadeh, Philippe Preux
A Generalized Kernel Approach to Structured Output Learning. ICML (1) (2013)
Hachem Kadri, Asma Rabaoui, Philippe Preux, Emmanuel Duflos, Alain Rakotomamonjy
Functional Regularized Least Squares Classi cation with Operator-valued Kernels CoRR (2013)
Hachem Kadri, Philippe Preux, Emmanuel Duflos, Stéphane Canu
Multiple functional regression with both discrete and continuous covariates CoRR (2013)
Olivier Nicol, Jérémie Mary, Philippe Preux
ICML Exploration & Exploitation Challenge: Keep it simple! ICML On-line Trading of Exploration and Exploitation (2012)
Gabriel Dulac-Arnold, Ludovic Denoyer, Philippe Preux, Patrick Gallinari
Sequential approaches for learning datum-wise sparse representations. Mach. Learn. 89 (1-2) (2012)
Gabriel Dulac-Arnold, Ludovic Denoyer, Philippe Preux, Patrick Gallinari
Fast Reinforcement Learning with Large Action Sets using Error-Correcting Output Codes for MDP Factorization CoRR (2012)
Gabriel Dulac-Arnold, Ludovic Denoyer, Philippe Preux, Patrick Gallinari
Fast Reinforcement Learning with Large Action Sets Using Error-Correcting Output Codes for MDP Factorization. ECML/PKDD (2) (2012)
Hachem Kadri, Alain Rakotomamonjy, Francis R. Bach, Philippe Preux
Multiple Operator-valued Kernel Learning. NIPS (2012)
Hachem Kadri, Mohammad Ghavamzadeh, Philippe Preux
A Generalized Kernel Approach to Structured Output Learning CoRR (2012)
Hachem Kadri, Alain Rakotomamonjy, Francis R. Bach, Philippe Preux
Multiple Operator-valued Kernel Learning CoRR (2012)
Azadeh Khaleghi, Daniil Ryabko, Jérémie Mary, Philippe Preux
Online Clustering of Processes. AISTATS (2012)
Sertan Girgin, Jérémie Mary, Philippe Preux, Olivier Nicol
Managing advertising campaigns - an approximate planning approach. Frontiers Comput. Sci. 6 (2) (2012)
Gabriel Dulac-Arnold, Ludovic Denoyer, Philippe Preux, Patrick Gallinari
Datum-Wise Classification: A Sequential Approach to Sparsity CoRR (2011)
Hachem Kadri, Asma Rabaoui, Philippe Preux, Emmanuel Duflos, Alain Rakotomamonjy
Functional Regularized Least Squares Classication with Operator-valued Kernels. ICML (2011)
Hachem Kadri, Emmanuel Duflos, Philippe Preux
Learning vocal tract variables with multi-task kernels. ICASSP (2011)
Gabriel Dulac-Arnold, Ludovic Denoyer, Philippe Preux, Patrick Gallinari
Datum-Wise Classification: A Sequential Approach to Sparsity. ECML/PKDD (1) (2011)
Sertan Girgin, Jérémie Mary, Philippe Preux, Olivier Nicol
Advertising Campaigns Management: Should We Be Greedy? ICDM (2010)
Victor Gabillon, Jérémie Mary, Philippe Preux
Affichage de publicités sur des portails web. EGC (2010)
Manuel Loth, Philippe Preux
The Iso-regularization Descent Algorithm for the LASSO. ICONIP (1) (2010)
Hachem Kadri, Emmanuel Duflos, Philippe Preux, Stéphane Canu, Manuel Davy
Nonlinear functional regression: a functional RKHS approach. AISTATS (2010)
Manuel Loth, Philippe Preux, Samuel Delepoulle, Christophe Renaud
ECON: A Kernel Basis Pursuit Algorithm with Automatic Feature Parameter Tuning, and its Application to Photometric Solids Approximation. ICMLA (2009)
Philippe Preux, Sertan Girgin, Manuel Loth
Feature discovery in approximate dynamic programming. ADPRL (2009)
Sertan Girgin, Philippe Preux
Basis Function Construction in Reinforcement Learning Using Cascade-Correlation Learning Architecture. ICMLA (2008)
Sertan Girgin, Philippe Preux
Feature Discovery in Reinforcement Learning Using Genetic Programming. EuroGP (2008)
Sertan Girgin, Philippe Preux
Basis Expansion in Natural Actor Critic Methods. EWRL (2008)
Manuel Loth, Philippe Preux, Manuel Davy
A unified view of TD algorithms, introducing Full-gradient TD and Equi-gradient descent TD. ESANN (2007)

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Publication Activity (10 Years)

Top Topics

Top Venues

Philippe Preux