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Yoan Russac
Yoan Russac
ML Research Twitter
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Weighted linear bandits for non-stationary environments
Y Russac, C Vernade, O Cappé
NeurIPS 2019, 2019
1012019
Algorithms for non-stationary generalized linear bandits
Y Russac, O Cappé, A Garivier
arXiv preprint arXiv:2003.10113, 2020
202020
Embeddings of categorical variables for sequential data in fraud context
Y Russac, O Caelen, L He-Guelton
AMLTA 2018, 2018
192018
A/B/n Testing with Control in the Presence of Subpopulations
Y Russac, C Katsimerou, D Bohle, O Cappé, A Garivier, W Koolen
NeurIPS 2021, 2021
152021
Regret bounds for generalized linear bandits under parameter drift
L Faury, Y Russac, M Abeille, C Calauzènes
arXiv preprint arXiv:2103.05750, 2021
102021
Self-Concordant Analysis of Generalized Linear Bandits with Forgetting
Y Russac, L Faury, O Cappé, A Garivier
AISTATS 2021, 2021
102021
On Limited-Memory Subsampling Strategies for Bandits
D Baudry, Y Russac, O Cappé
ICML 2021, 2021
102021
A Technical Note on Non-Stationary Parametric Bandits: Existing Mistakes and Preliminary Solutions
L Faury, Y Russac, M Abeille, C Calauzènes
Algorithmic Learning Theory, 619-626, 2021
32021
Efficient Algorithms for Extreme Bandits
D Baudry, Y Russac, E Kaufmann
AISTATS 2022, 2022
12022
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