Thomas Nedelec
Thomas Nedelec
Post-doctoral fellow, ICM
Adresse e-mail validée de icm-institute.org
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Année
Offline A/B testing for Recommender Systems
A Gilotte, C Calauzènes, T Nedelec, A Abraham, S Dollé
Proceedings of the Eleventh ACM International Conference on Web Search and …, 2018
852018
Specializing joint representations for the task of product recommendation
T Nedelec, E Smirnova, F Vasile
Workshop on Deep Learning for Recommender Systems, RecSys, 2017
18*2017
Learning to bid in revenue maximizing auctions
T Nedelec, V Perchet, N El Karoui
Proceedings of the 36th International Conference on Machine Learning (ICML) 97, 2019
132019
Thresholding at the monopoly price: an agnostic way to improve bidding strategies in revenue-maximizing auctions
T Nedelec, M Abeille, C Calauzènes, NE Karoui, B Heymann, V Perchet
arXiv preprint arXiv:1808.06979, 2018
7*2018
Explicit shading strategies for repeated truthful auctions
M Abeille, C Calauzènes, NE Karoui, T Nedelec, V Perchet
arXiv preprint arXiv:1805.00256, 2018
62018
A comparative study of counterfactual estimators
T Nedelec, N Le Roux, V Perchet
Workshop From 'What If?' To 'What Next', NIPS, 2017
62017
Adversarial learning for revenue-maximizing auctions
T Nedelec, J Baudet, V Perchet, NE Karoui
Proceedings of the 20th International Conference on Autonomous Agents and …, 2021
22021
Bridging the gap between regret minimization and best arm identification, with application to A/B tests
R Degenne, T Nedelec, C Calauzènes, V Perchet
Proceedings of the 22nd International Conference on Artificial Intelligence …, 2019
22019
Revenue-Maximizing Auctions: A Bidder’s Standpoint
T Nedelec, C Calauzènes, V Perchet, N El Karoui
Available at SSRN 3827136, 2021
2021
Learning in repeated auctions
T Nedelec, C Calauzènes, NE Karoui, V Perchet
arXiv preprint arXiv:2011.09365, 2020
2020
Robust Stackelberg buyers in repeated auctions
T Nedelec, C Calauzènes, V Perchet, N El Karoui
Proceedings of the 23rd International Conference on Artificial Intelligence, 2020
2020
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