Jeremie MARY
Jeremie MARY
Criteo AI Lab
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Cited by
Cited by
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
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
Collaborative filtering with stacked denoising autoencoders and sparse inputs
F Strub, J Mary
NIPS workshop on machine learning for eCommerce, 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
Ensemble feature ranking
K Jong, J Mary, A Cornuéjols, E Marchiori, M Sebag
European Conference on Principles of Data Mining and Knowledge Discovery …, 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
Consistent algorithms for clustering time series
A Khaleghi, D Ryabko, J Mary, P Preux
Journal of Machine Learning Research 17 (3), 1-32, 2016
Bandits and recommender systems
J Mary, R Gaudel, P Preux
International Workshop on Machine Learning, Optimization and Big Data, 325-336, 2015
Hybrid collaborative filtering with autoencoders
F Strub, J Mary, R Gaudel
arXiv preprint arXiv:1603.00806, 2016
Fairness-aware learning for continuous attributes and treatments
J Mary, C Calauzenes, N El Karoui
International Conference on Machine Learning, 4382-4391, 2019
Online clustering of processes
A Khaleghi, D Ryabko, J Mary, P Preux
Artificial Intelligence and Statistics, 601-609, 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
Distributionally robust reinforcement learning
E Smirnova, E Dohmatob, J Mary
arXiv preprint arXiv:1902.08708, 2019
Fighting boredom in recommender systems with linear reinforcement learning
R Warlop, A Lazaric, J Mary
Neural Information Processing Systems, 2018
Active learning in regression, with an application to stochastic dynamic programming
O Teytaud, S Gelly, J Mary
ICINCO 2007, 2007
Recurrent neural networks for long and short-term sequential recommendation
K Villatel, E Smirnova, J Mary, P Preux
arXiv preprint arXiv:1807.09142, 2018
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
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
Adaptive play in texas hold'em poker
R Maîtrepierre, J Mary, R Munos
ECAI 2008, 458-462, 2008
A binary-classification-based metric between time-series distributions and its use in statistical and learning problems
D Ryabko, J Mary
The Journal of Machine Learning Research 14 (1), 2837-2856, 2013
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