| Collaborative filtering with stacked denoising autoencoders and sparse inputs F Strub, J Mary, P Philippe NIPS workshop on machine learning for eCommerce, 2015 | 230 | 2015 |
| Towards hybrid evolutionary algorithms P Preux, EG Talbi International transactions in operational research 6 (6), 557-570, 1999 | 187 | 1999 |
| 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 | 144 | 2016 |
| Adversarially guided actor-critic Y Flet-Berliac, J Ferret, O Pietquin, P Preux, M Geist arXiv preprint arXiv:2102.04376, 2021 | 84 | 2021 |
| Bandits and recommender systems J Mary, R Gaudel, P Preux Machine Learning, Optimization, and Big Data: First International Workshop …, 2015 | 83 | 2015 |
| 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 | 77 | 2010 |
| Sparse temporal difference learning using LASSO M Loth, M Davy, P Preux 2007 IEEE International Symposium on Approximate Dynamic Programming and …, 2007 | 76 | 2007 |
| Datum-wise classification: a sequential approach to sparsity G Dulac-Arnold, L Denoyer, P Preux, P Gallinari Machine Learning and Knowledge Discovery in Databases: European Conference …, 2011 | 68 | 2011 |
| Consistent algorithms for clustering time series A Khaleghi, D Ryabko, J Mary, P Preux The Journal of Machine Learning Research 17 (1), 94-125, 2016 | 61 | 2016 |
| Fitness landscapes and performance of meta-heuristics C Fonlupt, D Robilliard, P Preux, EG Talbi Meta-heuristics: advances and trends in local search paradigms for …, 1999 | 61 | 1999 |
| A multi-armed bandit model selection for cold-start user recommendation CZ Felício, KVR Paixão, CAZ Barcelos, P Preux Proceedings of the 25th conference on user modeling, adaptation and …, 2017 | 52 | 2017 |
| “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 | 49 | 2003 |
| Bandits attack function optimization P Preux, R Munos, M Valko 2014 IEEE congress on evolutionary computation (CEC), 2245-2252, 2014 | 45 | 2014 |
| 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 | 41 | 2003 |
| 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 | 40 | 1996 |
| A generalized kernel approach to structured output learning H Kadri, M Ghavamzadeh, P Preux International Conference on Machine Learning, 471-479, 2013 | 39 | 2013 |
| Energy management for microgrids: a reinforcement learning approach T Levent, P Preux, E Le Pennec, J Badosa, G Henri, Y Bonnassieux 2019 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe), 1-5, 2019 | 38 | 2019 |
| Recurrent neural networks for long and short-term sequential recommendation K Villatel, E Smirnova, J Mary, P Preux arXiv preprint arXiv:1807.09142, 2018 | 38 | 2018 |
| Reinforcement learning for crop management support: Review, prospects and challenges R Gautron, OA Maillard, P Preux, M Corbeels, R Sabbadin Computers and Electronics in Agriculture 200, 107182, 2022 | 37 | 2022 |
| 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 | 37 | 1998 |
