Google
Google Scholar
MS Academic
CiteSeerX
CORE
Semantic ScholarPhilippe Preux
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2010 – today
- 2018
[j9]Benjamin Danglot, Philippe Preux, Benoit Baudry, Martin Monperrus:
Correctness attraction: a study of stability of software behavior under runtime perturbation. Empirical Software Engineering 23(4): 2086-2119 (2018)- [c43]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 - [c42]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
- [j8]Vincenzo Musco, Martin Monperrus, Philippe Preux:
A large-scale study of call graph-based impact prediction using mutation testing. Software Quality Journal 25(3): 921-950 (2017) - [c41]Georgios Papoudakis, Philippe Preux, Martin Monperrus:
A Generative Model for Sparse, Evolving Digraphs. COMPLEX NETWORKS 2017: 531-542 - [c40]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
- [j7]Crícia Z. Felício, Klérisson V. R. Paixão, Guilherme Alves, Sandra de Amo, Philippe Preux:
Exploiting Social Information in Pairwise Preference Recommender System. JIDM 7(2): 99-115 (2016) - [j6]Azadeh Khaleghi, Daniil Ryabko, Jérémie Mary, Philippe Preux:
Consistent Algorithms for Clustering Time Series. Journal of Machine Learning Research 17: 3:1-3:32 (2016) - [j5]Hachem Kadri, Emmanuel Duflos, Philippe Preux, Stéphane Canu, Alain Rakotomamonjy, Julien Audiffren:
Operator-valued Kernels for Learning from Functional Response Data. Journal of Machine Learning Research 17: 20:1-20:54 (2016) - [c39]Frédéric Guillou, Romaric Gaudel, Philippe Preux:
Sequential Collaborative Ranking Using (No-)Click Implicit Feedback. ICONIP (2) 2016: 288-296 - [c38]Vincenzo Musco, Antonin Carette, Martin Monperrus, Philippe Preux:
A learning algorithm for change impact prediction. RAISE@ICSE 2016: 8-14 - [c37]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 - [c36]Frédéric Guillou, Romaric Gaudel, Philippe Preux:
Large-Scale Bandit Recommender System. MOD 2016: 204-215 - [c35]Frédéric Guillou, Romaric Gaudel, Philippe Preux:
Scalable Explore-Exploit Collaborative filtering. PACIS 2016: 309 - [c34]Vincenzo Musco, Martin Monperrus, Philippe Preux:
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
- [c33]Bilel Derbel, Philippe Preux:
Simultaneous optimistic optimization on the noiseless BBOB testbed. CEC 2015: 2010-2017 - [c32]Vincenzo Musco, Martin Monperrus, Philippe Preux:
An Experimental Protocol for Analyzing the Accuracy of Software Error Impact Analysis. AST@ICSE 2015: 60-64 - [c31]
- [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
- [c30]Philippe Preux, Rémi Munos, Michal Valko:
Bandits attack function optimization. IEEE Congress on Evolutionary Computation 2014: 2245-2252 - [c29]Boris Baldassari, Flavien Huynh, Philippe Preux:
De l'ombre à la lumière : plus de visibilité sur l'Eclipse. EGC 2014: 513-516 - [c28]Jérémie Mary, Philippe Preux, Olivier Nicol:
Improving offline evaluation of contextual bandit algorithms via bootstrapping techniques. ICML 2014: 172-180 - [c27]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
- [c26]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
- [j4]Sertan Girgin, Jérémie Mary, Philippe Preux, Olivier Nicol:
Managing advertising campaigns - an approximate planning approach. Frontiers Comput. Sci. 6(2): 209-229 (2012) - [j3]Gabriel Dulac-Arnold, Ludovic Denoyer, Philippe Preux, Patrick Gallinari:
Sequential approaches for learning datum-wise sparse representations. Machine Learning 89(1-2): 87-122 (2012) - [c25]Hachem Kadri, Alain Rakotomamonjy, Francis R. Bach, Philippe Preux:
Multiple Operator-valued Kernel Learning. NIPS 2012: 2438-2446 - [c24]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 - [c23]Olivier Nicol, Jérémie Mary, Philippe Preux:
ICML Exploration & Exploitation Challenge: Keep it simple! ICML On-line Trading of Exploration and Exploitation 2012: 62-85 - [c22]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
- [c21]Hachem Kadri, Emmanuel Duflos, Philippe Preux:
Learning vocal tract variables with multi-task kernels. ICASSP 2011: 2200-2203 - [c20]Hachem Kadri, Asma Rabaoui, Philippe Preux, Emmanuel Duflos, Alain Rakotomamonjy:
Functional Regularized Least Squares Classication with Operator-valued Kernels. ICML 2011: 993-1000 - [c19]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
- [c18]Victor Gabillon, Jérémie Mary, Philippe Preux:
Affichage de publicités sur des portails web. EGC 2010: 67-78 - [c17]Sertan Girgin, Jérémie Mary, Philippe Preux, Olivier Nicol:
Advertising Campaigns Management: Should We Be Greedy? ICDM 2010: 821-826 - [c16]Manuel Loth, Philippe Preux:
The Iso-regularization Descent Algorithm for the LASSO. ICONIP (1) 2010: 454-461 - [c15]Hachem Kadri, Emmanuel Duflos, Philippe Preux, Stéphane Canu, Manuel Davy:
Nonlinear functional regression: a functional RKHS approach. AISTATS 2010: 374-380
2000 – 2009
- 2009
- [c14]Philippe Preux, Sertan Girgin, Manuel Loth:
Feature discovery in approximate dynamic programming. ADPRL 2009: 109-116 - [c13]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
- [c12]Sertan Girgin, Philippe Preux:
Feature Discovery in Reinforcement Learning Using Genetic Programming. EuroGP 2008: 218-229 - [c11]
- [c10]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
- [c9]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
- [j2]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
- [j1]Éric Ramat, Philippe Preux:
"Virtual laboratory environment" (VLE): a software environment oriented agent and object for modeling and simulation of complex systems. Simulation Modelling Practice and Theory 11(1): 45-55 (2003) - 2002
- [c8]
- 2001
- [c7]Samuel Delepoulle, Philippe Preux, Jean-Claude Darcheville:
Learning as a Consequence of Selection. Artificial Evolution 2001: 350-361 - [c6]Samuel Delepoulle, Philippe Preux, Jean-Claude Darcheville:
Selection of Behavior in Social Situations. EvoWorkshops 2001: 384-393 - 2000
- [c5]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
- [c4]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
- [c3]Cyril Fonlupt, Denis Robilliard, Philippe Preux:
A Bit-Wise Epistasis Measure for Binary Search Spaces. PPSN 1998: 47-56 - [c2]David Duvivier, Philippe Preux, Cyril Fonlupt, Denis Robilliard, El-Ghazali Talbi:
The fitness function and its impact on local search methods. SMC 1998: 2478-2483 - 1996
- [c1]
Coauthor Index
maintained by 
, founded at 
, founded at 
last updated on 2019-01-09 01:26 CET by the dblp team
data released under the ODC-BY 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
the dblp computer science bibliography is funded by:
