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Philippe Preux
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2020 – today
- 2024
- [j14]André Paulo Dantas de Araújo
, Dickson H. J. Daniel
General System Architecture and COTS Prototyping of an AIoT-Enabled Sailboat for Autonomous Aquatic Ecosystem Monitoring. IEEE Internet Things J. 11(3): 3801-3811 (2024) - [j13]Pierre Erbacher, Jian-Yun Nie, Philippe Preux, Laure Soulier:
Augmenting Ad-Hoc IR Dataset for Interactive Conversational Search. Trans. Mach. Learn. Res. 2024 (2024) - [c59]Timothée Mathieu
Statistical comparison in empirical computer science with minimal computation usage. ACM-REP 2024 - [c58]Pierre Erbacher, Jian-Yun Nie, Philippe Preux, Laure Soulier:
PAQA: Vers des systèmes ProActifs face aux Questions Ambiguës. CORIA 2024 - [i42]Eduardo Charles Vasconcellos, Ronald M. Sampaio, André P. D. de Araújo
Reinforcement-learning robotic sailboats: simulator and preliminary results. CoRR abs/2402.03337 (2024) - [i41]Pierre Erbacher, Jian-Yun Nie, Philippe Preux, Laure Soulier:
PAQA: Toward ProActive Open-Retrieval Question Answering. CoRR abs/2402.16608 (2024) - [i40]Hector Kohler, Quentin Delfosse, Paul Festor, Philippe Preux:
Towards a Research Community in Interpretable Reinforcement Learning: the InterpPol Workshop. CoRR abs/2404.10906 (2024) - [i39]Hector Kohler, Quentin Delfosse, Riad Akrour, Kristian Kersting, Philippe Preux:
Interpretable and Editable Programmatic Tree Policies for Reinforcement Learning. CoRR abs/2405.14956 (2024) - 2023
- [c57]Matheus Centa, Philippe Preux:
Soft Action Priors: Towards Robust Policy Transfer. AAAI 2023: 6953-6961 - [c56]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: 37-58 - [i38]Hector Kohler, Riad Akrour, Philippe Preux:
Optimal Interpretability-Performance Trade-off of Classification Trees with Black-Box Reinforcement Learning. CoRR abs/2304.05839 (2023) - [i37]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 abs/2306.10882 (2023) - [i36]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 abs/2308.16585 (2023) - [i35]Hector Kohler, Riad Akrour, Philippe Preux:
Discovering the Interpretability-Performance Pareto Front of Decision Trees with Dynamic Programming. CoRR abs/2309.12701 (2023) - [i34]Pierre Erbacher, Jian-Yun Nie
Augmenting Ad-Hoc IR Dataset for Interactive Conversational Search. CoRR abs/2311.06119 (2023) - 2022
- [j12]Romain Gautron
Reinforcement learning for crop management support: Review, prospects and challenges. Comput. Electron. Agric. 200: 107182 (2022) - [c55]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: 239-246 - [i33]Romain Gautron
gym-DSSAT: a crop model turned into a Reinforcement Learning environment. CoRR abs/2207.03270 (2022) - [i32]Matheus Centa, Philippe Preux:
Soft Action Priors: Towards Robust Policy Transfer. CoRR abs/2209.09882 (2022) - [i31]Riccardo Della Vecchia, Alena Shilova, Philippe Preux, Riad Akrour:
Entropy Regularized Reinforcement Learning with Cascading Networks. CoRR abs/2210.08503 (2022) - 2021
- [c54]Nathan Grinsztajn, Olivier Beaumont, Emmanuel Jeannot, Philippe Preux:
READYS: A Reinforcement Learning Based Strategy for Heterogeneous Dynamic Scheduling. CLUSTER 2021: 70-81 - [c53]Yannis Flet-Berliac, Johan Ferret, Olivier Pietquin, Philippe Preux, Matthieu Geist:
Adversarially Guided Actor-Critic. ICLR 2021 - [c52]Yannis Flet-Berliac, Reda Ouhamma, Odalric-Ambrym Maillard, Philippe Preux:
Learning Value Functions in Deep Policy Gradients using Residual Variance. ICLR 2021 - [c51]Mathieu Seurin, Florian Strub, Philippe Preux, Olivier Pietquin:
Don't Do What Doesn't Matter: Intrinsic Motivation with Action Usefulness. IJCAI 2021: 2950-2956 - [c50]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: 1898-1911 - [i30]Yannis Flet-Berliac, Johan Ferret, Olivier Pietquin, Philippe Preux, Matthieu Geist:
Adversarially Guided Actor-Critic. CoRR abs/2102.04376 (2021) - [i29]Mathieu Seurin, Florian Strub, Philippe Preux, Olivier Pietquin:
Don't Do What Doesn't Matter: Intrinsic Motivation with Action Usefulness. CoRR abs/2105.09992 (2021) - [i28]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 abs/2106.04480 (2021) - [i27]Nathan Grinsztajn, Louis Leconte, Philippe Preux, Edouard Oyallon:
Interferometric Graph Transform for Community Labeling. CoRR abs/2106.05875 (2021) - [i26]Nathan Grinsztajn, Philippe Preux, Edouard Oyallon:
Low-Rank Projections of GCNs Laplacian. CoRR abs/2106.07360 (2021) - [i25]Toby Johnstone, Nathan Grinsztajn, Johan Ferret, Philippe Preux:
More Efficient Exploration with Symbolic Priors on Action Sequence Equivalences. CoRR abs/2110.10632 (2021) - 2020
- [c49]Yannis Flet-Berliac, Philippe Preux:
Only Relevant Information Matters: Filtering Out Noisy Samples To Boost RL. IJCAI 2020: 2711-2717 - [c48]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: 1-8 - [c47]Mathieu Seurin, Florian Strub, Philippe Preux, Olivier Pietquin:
A Machine of Few Words: Interactive Speaker Recognition with Reinforcement Learning. INTERSPEECH 2020: 4323-4327 - [c46]Nathan Grinsztajn, Olivier Beaumont
Geometric deep reinforcement learning for dynamic DAG scheduling. SSCI 2020: 258-265 - [i24]Mathieu Seurin, Florian Strub, Philippe Preux, Olivier Pietquin:
A Machine of Few Words - Interactive Speaker Recognition with Reinforcement Learning. CoRR abs/2008.03127 (2020) - [i23]Yannis Flet-Berliac, Reda Ouhamma, Odalric-Ambrym Maillard, Philippe Preux:
Is Standard Deviation the New Standard? Revisiting the Critic in Deep Policy Gradients. CoRR abs/2010.04440 (2020) - [i22]Nathan Grinsztajn, Olivier Beaumont, Emmanuel Jeannot, Philippe Preux:
Geometric Deep Reinforcement Learning for Dynamic DAG Scheduling. CoRR abs/2011.04333 (2020)
2010 – 2019
- 2019
- [c45]Tanguy Levent, Philippe Preux, Erwan Le Pennec, Jordi Badosa, Gonzague Henri, Yvan Bonnassieux
Energy Management for Microgrids: a Reinforcement Learning Approach. ISGT Europe 2019: 1-5 - [i21]Yannis Flet-Berliac, Philippe Preux:
Samples are not all useful: Denoising policy gradient updates using variance. CoRR abs/1904.04025 (2019) - [i20]Yannis Flet-Berliac, Philippe Preux:
High-Dimensional Control Using Generalized Auxiliary Tasks. CoRR abs/1909.11939 (2019) - [i19]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 abs/1910.02078 (2019) - 2018
- [j11]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): 2086-2119 (2018) - [c44]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: 808-831 - [c43]Benjamin Danglot, Philippe Preux, Benoit Baudry, Martin Monperrus:
Correctness attraction: a study of stability of software behavior under runtime perturbation. ICSE 2018: 481 - [i18]Kiewan Villatel, Elena Smirnova, Jérémie Mary, Philippe Preux:
Recurrent Neural Networks for Long and Short-Term Sequential Recommendation. CoRR abs/1807.09142 (2018) - [i17]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 abs/1808.04446 (2018) - [i16]Vincenzo Musco, Martin Monperrus, Philippe Preux:
A Large-Scale Study of Call Graph-based Impact Prediction using Mutation Testing. CoRR abs/1812.06286 (2018) - 2017
- [j10]Vincenzo Musco, Martin Monperrus
A large-scale study of call graph-based impact prediction using mutation testing. Softw. Qual. J. 25(3): 921-950 (2017) - [c42]Georgios Papoudakis, Philippe Preux, Martin Monperrus
A Generative Model for Sparse, Evolving Digraphs. COMPLEX NETWORKS 2017: 531-542 - [c41]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: 32-40 - [i15]Georgios Papoudakis, Philippe Preux, Martin Monperrus:
A generative model for sparse, evolving digraphs. CoRR abs/1710.06298 (2017) - 2016
- [j9]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): 99-115 (2016) - [j8]Azadeh Khaleghi, Daniil Ryabko, Jérémie Mary, Philippe Preux:
Consistent Algorithms for Clustering Time Series. J. Mach. Learn. Res. 17: 3:1-3:32 (2016) - [j7]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: 20:1-20:54 (2016) - [c40]Frédéric Guillou, Romaric Gaudel, Philippe Preux:
Sequential Collaborative Ranking Using (No-)Click Implicit Feedback. ICONIP (2) 2016: 288-296 - [c39]Vincenzo Musco, Antonin Carette, Martin Monperrus
A learning algorithm for change impact prediction. RAISE@ICSE 2016: 8-14 - [c38]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: 62-69 - [c37]Frédéric Guillou, Romaric Gaudel, Philippe Preux:
Large-Scale Bandit Recommender System. MOD 2016: 204-215 - [c36]Frédéric Guillou, Romaric Gaudel, Philippe Preux:
Scalable Explore-Exploit Collaborative filtering. PACIS 2016: 309 - [c35]Vincenzo Musco, Martin Monperrus
Mutation-Based Graph Inference for Fault Localization. SCAM 2016: 97-106 - [i14]Benjamin Danglot, Philippe Preux, Benoit Baudry, Martin Monperrus:
Correctness Attraction: A Study of Stability of Software Behavior Under Runtime Perturbation. CoRR abs/1611.09187 (2016) - 2015
- [c34]Bilel Derbel, Philippe Preux:
Simultaneous optimistic optimization on the noiseless BBOB testbed. CEC 2015: 2010-2017 - [c33]Vincenzo Musco, Martin Monperrus
An Experimental Protocol for Analyzing the Accuracy of Software Error Impact Analysis. AST@ICSE 2015: 60-64 - [c32]Jérémie Mary, Romaric Gaudel, Philippe Preux:
Bandits and Recommender Systems. MOD 2015: 325-336 - [i13]Hachem Kadri, Emmanuel Duflos, Philippe Preux, Stéphane Canu, Alain Rakotomamonjy, Julien Audiffren:
Operator-valued Kernels for Learning from Functional Response Data. CoRR abs/1510.08231 (2015) - [i12]Vincenzo Musco, Antonin Carette, Martin Monperrus, Philippe Preux:
A Learning Algorithm for Change Impact Prediction: Experimentation on 7 Java Applications. CoRR abs/1512.07435 (2015) - 2014
- [c31]Philippe Preux, Rémi Munos, Michal Valko:
Bandits attack function optimization. IEEE Congress on Evolutionary Computation 2014: 2245-2252 - [c30]Boris Baldassari, Flavien Huynh, Philippe Preux:
De l'ombre à la lumière : plus de visibilité sur l'Eclipse. EGC 2014: 513-516 - [c29]Jérémie Mary, Philippe Preux, Olivier Nicol:
Improving offline evaluation of contextual bandit algorithms via bootstrapping techniques. ICML 2014: 172-180 - [c28]Boris Baldassari, Philippe Preux:
Understanding software evolution: the maisqual ant data set. MSR 2014: 424-427 - [i11]Olivier Nicol, Jérémie Mary, Philippe Preux:
Improving offline evaluation of contextual bandit algorithms via bootstrapping techniques. CoRR abs/1405.3536 (2014) - [i10]Hai Thanh Nguyen, Jérémie Mary, Philippe Preux:
Cold-start Problems in Recommendation Systems via Contextual-bandit Algorithms. CoRR abs/1405.7544 (2014) - [i9]Jérémie Mary, Romaric Gaudel, Philippe Preux:
Bandits Warm-up Cold Recommender Systems. CoRR abs/1407.2806 (2014) - [i8]Vincenzo Musco, Martin Monperrus, Philippe Preux:
A Generative Model of Software Dependency Graphs to Better Understand Software Evolution. CoRR abs/1410.7921 (2014) - 2013
- [c27]Hachem Kadri, Mohammad Ghavamzadeh, Philippe Preux:
A Generalized Kernel Approach to Structured Output Learning. ICML (1) 2013: 471-479 - [i7]Hachem Kadri, Asma Rabaoui, Philippe Preux, Emmanuel Duflos, Alain Rakotomamonjy:
Functional Regularized Least Squares Classi cation with Operator-valued Kernels. CoRR abs/1301.2655 (2013) - [i6]Hachem Kadri, Philippe Preux, Emmanuel Duflos, Stéphane Canu:
Multiple functional regression with both discrete and continuous covariates. CoRR abs/1301.2656 (2013) - 2012
- [j6]Sertan Girgin, Jérémie Mary, Philippe Preux, Olivier Nicol:
Managing advertising campaigns - an approximate planning approach. Frontiers Comput. Sci. 6(2): 209-229 (2012) - [j5]Gabriel Dulac-Arnold, Ludovic Denoyer, Philippe Preux, Patrick Gallinari:
Sequential approaches for learning datum-wise sparse representations. Mach. Learn. 89(1-2): 87-122 (2012) - [c26]Hachem Kadri, Alain Rakotomamonjy, Francis R. Bach, Philippe Preux:
Multiple Operator-valued Kernel Learning. NIPS 2012: 2438-2446 - [c25]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: 180-194 - [c24]Olivier Nicol, Jérémie Mary, Philippe Preux:
ICML Exploration & Exploitation Challenge: Keep it simple! ICML On-line Trading of Exploration and Exploitation 2012: 62-85 - [c23]Azadeh Khaleghi, Daniil Ryabko, Jérémie Mary, Philippe Preux:
Online Clustering of Processes. AISTATS 2012: 601-609 - [i5]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 abs/1203.0203 (2012) - [i4]Hachem Kadri, Alain Rakotomamonjy, Francis R. Bach, Philippe Preux:
Multiple Operator-valued Kernel Learning. CoRR abs/1203.1596 (2012) - [i3]Hachem Kadri, Mohammad Ghavamzadeh, Philippe Preux:
A Generalized Kernel Approach to Structured Output Learning. CoRR abs/1205.2171 (2012) - 2011
- [c22]Hachem Kadri, Emmanuel Duflos, Philippe Preux:
Learning vocal tract variables with multi-task kernels. ICASSP 2011: 2200-2203 - [c21]Hachem Kadri, Asma Rabaoui, Philippe Preux, Emmanuel Duflos, Alain Rakotomamonjy:
Functional Regularized Least Squares Classication with Operator-valued Kernels. ICML 2011: 993-1000 - [c20]Gabriel Dulac-Arnold, Ludovic Denoyer, Philippe Preux, Patrick Gallinari:
Datum-Wise Classification: A Sequential Approach to Sparsity. ECML/PKDD (1) 2011: 375-390 - [i2]Gabriel Dulac-Arnold, Ludovic Denoyer, Philippe Preux, Patrick Gallinari:
Datum-Wise Classification: A Sequential Approach to Sparsity. CoRR abs/1108.5668 (2011) - 2010
- [c19]Victor Gabillon, Jérémie Mary, Philippe Preux:
Affichage de publicités sur des portails web. EGC 2010: 67-78 - [c18]Sertan Girgin, Jérémie Mary, Philippe Preux, Olivier Nicol:
Advertising Campaigns Management: Should We Be Greedy? ICDM 2010: 821-826 - [c17]Manuel Loth, Philippe Preux:
The Iso-regularization Descent Algorithm for the LASSO. ICONIP (1) 2010: 454-461 - [c16]Hachem Kadri, Emmanuel Duflos, Philippe Preux, Stéphane Canu, Manuel Davy:
Nonlinear functional regression: a functional RKHS approach. AISTATS 2010: 374-380
2000 – 2009
- 2009
- [c15]Philippe Preux, Sertan Girgin, Manuel Loth:
Feature discovery in approximate dynamic programming. ADPRL 2009: 109-116 - [c14]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: 162-169 - 2008
- [c13]Sertan Girgin, Philippe Preux:
Feature Discovery in Reinforcement Learning Using Genetic Programming. EuroGP 2008: 218-229 - [c12]Sertan Girgin, Philippe Preux:
Basis Expansion in Natural Actor Critic Methods. EWRL 2008: 110-123 - [c11]Sertan Girgin, Philippe Preux:
Basis Function Construction in Reinforcement Learning Using Cascade-Correlation Learning Architecture. ICMLA 2008: 75-82 - [e1]Sertan Girgin, Manuel Loth, Rémi Munos, Philippe Preux, Daniil Ryabko:
Recent Advances in Reinforcement Learning, 8th European Workshop, EWRL 2008, Villeneuve d'Ascq, France, June 30 - July 3, 2008, Revised and Selected Papers. Lecture Notes in Computer Science 5323, Springer 2008, ISBN 978-3-540-89721-7 [contents] - 2007
- [c10]Manuel Loth, Philippe Preux, Manuel Davy:
A unified view of TD algorithms, introducing Full-gradient TD and Equi-gradient descent TD. ESANN 2007: 289-294 - 2006
- [i1]Manuel Loth, Philippe Preux:
A Unified View of TD Algorithms; Introducing Full-Gradient TD and Equi-Gradient Descent TD. CoRR abs/cs/0611145 (2006) - 2004
- [j4]Philippe Preux, Samuel Delepoulle, Jean-Claude Darcheville:
A generic architecture for adaptive agents based on reinforcement learning. Inf. Sci. 161(1-2): 37-55 (2004) - 2003
- [j3]Éric Ramat
"Virtual laboratory environment" (VLE): a software environment oriented agent and object for modeling and simulation of complex systems. Simul. Model. Pract. Theory 11(1): 45-55 (2003) - 2002
- [c9]Philippe Preux:
Propagation of Q-values in Tabular TD(lambda). ECML 2002: 369-380 - 2001
- [c8]Samuel Delepoulle, Philippe Preux, Jean-Claude Darcheville:
Learning as a Consequence of Selection. Artificial Evolution 2001: 350-361 - [c7]Samuel Delepoulle, Philippe Preux, Jean-Claude Darcheville:
Selection of Behavior in Social Situations. EvoWorkshops 2001: 384-393 - 2000
- [c6]Éric Ramat, Philippe Preux:
Virtual Laboratory Environment (VLE) : un environnement multi-agents pour la modélisation et la simulation d'écosystèmes (démonstration). JFIADSMA 2000: 253-258
1990 – 1999
- 1999
- [c5]Samuel Delepoulle, Philippe Preux, Jean-Claude Darcheville:
Evolution of Cooperation within a Behavior-Based Perspective: Confronting Nature and Animats. Artificial Evolution 1999: 204-216 - 1998
- [c4]Cyril Fonlupt
A Bit-Wise Epistasis Measure for Binary Search Spaces. PPSN 1998: 47-56 - [c3]David Duvivier
The fitness function and its impact on local search methods. SMC 1998: 2478-2483 - 1996
- [c2]David Duvivier
Climbing Up NP-Hard Hills. PPSN 1996: 574-583 - 1992
- [c1]M. Tahar Kechadi, Jean-Luc Dekeyser, Philippe Marquet, Philippe Preux:
Performance improvement for vector pipeline multiprocessor systems using a disordered execution model. ISCA 1992: 433 - 1990
- [j2]Jean-Luc Dekeyser, Philippe Marquet, Philippe Preux:
Vector addressing processor for direct and indirect accesses. Microprocessing and Microprogramming 30(1-5): 657-664 (1990) - [j1]Jean-Luc Dekeyser, Philippe Marquet, Philippe Preux:
EVA: an explicit vector language. ACM SIGPLAN Notices 25(8): 53-71 (1990)
Coauthor Index
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