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2020 – today
- 2024
[i7]Benjamin Heymann, Rémi Chan-Renous-Legoubin, Alexandre Gilotte:
A pragmatic policy learning approach to account for users' fatigue in repeated auctions. CoRR abs/2407.10504 (2024)- 2023
- [c4]Otmane Sakhi, David Rohde, Alexandre Gilotte:
Fast Offline Policy Optimization for Large Scale Recommendation. AAAI 2023: 9686-9694 - 2022
- [c3]Eustache Diemert, Romain Fabre, Alexandre Gilotte, Fei Jia, Basile Leparmentier, Jérémie Mary, Zhonghua Qu, Ugo Tanielian, Hui Yang:
Lessons from the AdKDD'21 Privacy-Preserving ML Challenge. WWW 2022: 2026-2035 - [i6]Eustache Diemert, Romain Fabre, Alexandre Gilotte, Fei Jia, Basile Leparmentier, Jérémie Mary, Zhonghua Qu, Ugo Tanielian, Hui Yang:
Lessons from the AdKDD'21 Privacy-Preserving ML Challenge. CoRR abs/2201.13123 (2022) - [i5]Otmane Sakhi, David Rohde, Alexandre Gilotte:
Fast Offline Policy Optimization for Large Scale Recommendation. CoRR abs/2208.05327 (2022) - [i4]Alexandre Gilotte, Ahmed Ben Yahmed, David Rohde:
Learning from aggregated data with a maximum entropy model. CoRR abs/2210.02450 (2022) - 2021
- [c2]Martin Bompaire, Alexandre Gilotte, Benjamin Heymann:
Causal Models for Real Time Bidding with Repeated User Interactions. KDD 2021: 75-85
2010 – 2019
- 2019
- [i3]Alexandre Gilotte:
Ranking metrics on non-shuffled traffic. CoRR abs/1909.07926 (2019) - [i2]Olivier Jeunen, Dmytro Mykhaylov, David Rohde, Flavian Vasile, Alexandre Gilotte, Martin Bompaire:
Learning from Bandit Feedback: An Overview of the State-of-the-art. CoRR abs/1909.08471 (2019) - 2018
- [c1]Alexandre Gilotte, Clément Calauzènes, Thomas Nedelec, Alexandre Abraham, Simon Dollé:
Offline A/B Testing for Recommender Systems. WSDM 2018: 198-206 - [i1]Alexandre Gilotte, Clément Calauzènes, Thomas Nedelec, Alexandre Abraham, Simon Dollé:
Offline A/B testing for Recommender Systems. CoRR abs/1801.07030 (2018)
Coauthor Index
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