Towards hybrid evolutionary algorithms P Preux, EG Talbi International transactions in operational research 6 (6), 557-570, 1999 | 163 | 1999 |
Sparse temporal difference learning using LASSO M Loth, M Davy, P Preux 2007 IEEE International Symposium on Approximate Dynamic Programming and …, 2007 | 70 | 2007 |
Operator-valued kernels for learning from functional response data H Kadri, E Duflos, P Preux, S Canu, A Rakotomamonjy, J Audiffren Journal of Machine Learning Research 17 (20), 1-54, 2016 | 61 | 2016 |
Nonlinear functional regression: a functional RKHS approach H Kadri, E Duflos, P Preux, S Canu, M Davy Proceedings of the Thirteenth International Conference on Artificial …, 2010 | 59 | 2010 |
Fitness landscapes and performance of meta-heuristics C Fonlupt, D Robilliard, P Preux, EG Talbi Meta-Heuristics, 257-268, 1999 | 54 | 1999 |
“Virtual laboratory environment”(VLE): a software environment oriented agent and object for modeling and simulation of complex systems E Ramat, P Preux Simulation Modelling Practice and Theory 11 (1), 45-55, 2003 | 47 | 2003 |
Consistent algorithms for clustering time series A Khaleghi, D Ryabko, J Mary, P Preux Journal of Machine Learning Research 17 (3), 1-32, 2016 | 44 | 2016 |
Bandits and recommender systems J Mary, R Gaudel, P Preux International Workshop on Machine Learning, Optimization and Big Data, 325-336, 2015 | 44 | 2015 |
Datum-wise classification: a sequential approach to sparsity G Dulac-Arnold, L Denoyer, P Preux, P Gallinari Joint European Conference on Machine Learning and Knowledge Discovery in …, 2011 | 38 | 2011 |
Scale transfer modeling: using emergent computation for coupling an ordinary differential equation system with a reactive agent model R Duboz, É Ramat, P Preux Systems Analysis Modelling Simulation 43 (6), 793-814, 2003 | 35 | 2003 |
Bandits attack function optimization P Preux, R Munos, M Valko 2014 IEEE Congress on Evolutionary Computation (CEC), 2245-2252, 2014 | 33 | 2014 |
Parallel hybrid meta-heuristics: application to the quadratic assignment problem V Bachelet, P Preux, EG Talbi Proceedings of the Parallel Optimization Colloquium, 233-242, 1996 | 32 | 1996 |
A generalized kernel approach to structured output learning H Kadri, M Ghavamzadeh, P Preux International Conference on Machine Learning, 471-479, 2013 | 30 | 2013 |
A bit-wise epistasis measure for binary search spaces C Fonlupt, D Robilliard, P Preux International Conference on Parallel Problem Solving from Nature, 47-56, 1998 | 30 | 1998 |
Online clustering of processes A Khaleghi, D Ryabko, J Mary, P Preux Artificial Intelligence and Statistics, 601-609, 2012 | 29 | 2012 |
Hybrid collaborative filtering with autoencoders F Strub, J Mary, R Gaudel arXiv preprint arXiv:1603.00806, 2016 | 28 | 2016 |
A generic architecture for adaptive agents based on reinforcement learning P Preux, S Delepoulle, JC Darcheville Information Sciences 161 (1-2), 37-55, 2004 | 28 | 2004 |
Climbing up NP-hard hills D Duvivier, P Preux, EG Talbi International Conference on Parallel Problem Solving from Nature, 574-583, 1996 | 27 | 1996 |
Feature discovery in reinforcement learning using genetic programming S Girgin, P Preux European Conference on Genetic Programming, 218-229, 2008 | 26 | 2008 |
Improving offline evaluation of contextual bandit algorithms via bootstrapping techniques J Mary, P Preux, O Nicol International Conference on Machine Learning, 172-180, 2014 | 25 | 2014 |