Jeremie MARY
Jeremie MARY
Criteo AI Lab
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Modulating early visual processing by language
H De Vries, F Strub, J Mary, H Larochelle, O Pietquin, AC Courville
Advances in neural information processing systems 30, 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, P Philippe
NIPS workshop on machine learning for eCommerce, 2015
Fairness-aware learning for continuous attributes and treatments
J Mary, C Calauzenes, N El Karoui
International Conference on Machine Learning, 4382-4391, 2019
Do not mask what you do not need to mask: a parser-free virtual try-on
T Issenhuth, J Mary, C Calauzenes
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
Ensemble feature ranking
K Jong, J Mary, A Cornuéjols, E Marchiori, M Sebag
European Conference on Principles of Data Mining and Knowledge Discovery …, 2004
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
Bandits and recommender systems
J Mary, R Gaudel, P Preux
Machine Learning, Optimization, and Big Data: First International Workshop …, 2015
Hybrid collaborative filtering with autoencoders
F Strub, J Mary, R Gaudel
arXiv preprint arXiv:1603.00806, 2016
Distributionally robust reinforcement learning
E Smirnova, E Dohmatob, J Mary
arXiv preprint arXiv:1902.08708, 2019
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
Fighting boredom in recommender systems with linear reinforcement learning
R Warlop, A Lazaric, J Mary
Advances in Neural Information Processing Systems 31, 2018
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
Learning disconnected manifolds: a no gan’s land
U Tanielian, T Issenhuth, E Dohmatob, J Mary
International Conference on Machine Learning, 9418-9427, 2020
Recurrent neural networks for long and short-term sequential recommendation
K Villatel, E Smirnova, J Mary, P Preux
arXiv preprint arXiv:1807.09142, 2018
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
Tensorized determinantal point processes for recommendation
R Warlop, J Mary, M Gartrell
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019
End-to-end learning of geometric deformations of feature maps for virtual try-on
T Issenhuth, J Mary, C Calauzènes
arXiv preprint arXiv:1906.01347, 2019
Active learning in regression, with an application to stochastic dynamic programming
O Teytaud, S Gelly, J Mary
ICINCO 2007, 2007
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Artículos 1–20