| Modulating early visual processing by language H De Vries, F Strub, J Mary, H Larochelle, O Pietquin, A Courville arXiv preprint arXiv:1707.00683, 2017 | 218 | 2017 |
| Hybrid recommender system based on autoencoders F Strub, R Gaudel, J Mary Proceedings of the 1st workshop on deep learning for recommender systems, 11-16, 2016 | 142 | 2016 |
| Collaborative filtering with stacked denoising autoencoders and sparse inputs F Strub, J Mary NIPS workshop on machine learning for eCommerce, 2015 | 129 | 2015 |
| End-to-end optimization of goal-driven and visually grounded dialogue systems F Strub, H De Vries, J Mary, B Piot, A Courville, O Pietquin arXiv preprint arXiv:1703.05423, 2017 | 83 | 2017 |
| Ensemble feature ranking K Jong, J Mary, A Cornuéjols, E Marchiori, M Sebag European Conference on Principles of Data Mining and Knowledge Discovery …, 2004 | 79 | 2004 |
| Biological detection of low radiation doses by combining results of two microarray analysis methods G Mercier, N Berthault, J Mary, J Peyre, A Antoniadis, JP Comet, ... Nucleic Acids Research 32 (1), e12-e12, 2004 | 51 | 2004 |
| Bandits and recommender systems J Mary, R Gaudel, P Preux International Workshop on Machine Learning, Optimization and Big Data, 325-336, 2015 | 42 | 2015 |
| Consistent algorithms for clustering time series A Khaleghi, D Ryabko, J Mary, P Preux Journal of Machine Learning Research 17 (3), 1-32, 2016 | 40 | 2016 |
| Hybrid collaborative filtering with autoencoders F Strub, J Mary, R Gaudel arXiv preprint arXiv:1603.00806, 2016 | 36* | 2016 |
| Online clustering of processes A Khaleghi, D Ryabko, J Mary, P Preux Artificial Intelligence and Statistics, 601-609, 2012 | 29 | 2012 |
| Improving offline evaluation of contextual bandit algorithms via bootstrapping techniques J Mary, P Preux, O Nicol International Conference on Machine Learning, 172-180, 2014 | 23 | 2014 |
| Fairness-aware learning for continuous attributes and treatments J Mary, C Calauzenes, N El Karoui International Conference on Machine Learning, 4382-4391, 2019 | 22 | 2019 |
| Active learning in regression, with an application to stochastic dynamic programming O Teytaud, S Gelly, J Mary ICINCO 2007, 2007 | 19 | 2007 |
| Distributionally robust reinforcement learning E Smirnova, E Dohmatob, J Mary arXiv preprint arXiv:1902.08708, 2019 | 17 | 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 | 17 | 2018 |
| On the ultimate convergence rates for isotropic algorithms and the best choices among various forms of isotropy O Teytaud, S Gelly, J Mary Parallel Problem Solving from Nature-PPSN IX, 32-41, 2006 | 17 | 2006 |
| Visual reasoning with multi-hop feature modulation F Strub, M Seurin, E Perez, H De Vries, J Mary, P Preux, ACO Pietquin Proceedings of the European Conference on Computer Vision (ECCV), 784-800, 2018 | 16 | 2018 |
| " Adaptive play in texas hold’em poker M Ghallab ECAI 2008: 18th European Conference on Artificial Intelligence, July 21-25 …, 2008 | 16 | 2008 |
| Fighting boredom in recommender systems with linear reinforcement learning R Warlop, A Lazaric, J Mary Neural Information Processing Systems, 2018 | 14 | 2018 |
| Bandits warm-up cold recommender systems J Mary, R Gaudel, P Philippe arXiv preprint arXiv:1407.2806, 2014 | 12 | 2014 |
Florian STRUBDeepMindVerified email at google.com
