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Pierre Senellart
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Publications
- 2024
- [i27]Pratik Karmakar, Mikaël Monet, Pierre Senellart, Stéphane Bressan:
Expected Shapley-Like Scores of Boolean Functions: Complexity and Applications to Probabilistic Databases. CoRR abs/2401.06493 (2024) - 2023
- [c72]Angelo Saadeh, Pierre Senellart, Stéphane Bressan:
Confidential Truth Finding with Multi-Party Computation. DEXA (1) 2023: 332-337 - [i26]Angelo Saadeh, Pierre Senellart, Stéphane Bressan:
Confidential Truth Finding with Multi-Party Computation (Extended Version). CoRR abs/2305.14727 (2023) - 2019
- [c66]Debabrota Basu, Pierre Senellart, Stéphane Bressan:
BelMan: An Information-Geometric Approach to Stochastic Bandits. ECML/PKDD (3) 2019: 167-183 - 2018
- [i20]Debabrota Basu, Pierre Senellart, Stéphane Bressan:
BelMan: Bayesian Bandits on the Belief-Reward Manifold. CoRR abs/1805.01627 (2018) - 2016
- [j20]Ruiming Tang, Antoine Amarilli, Pierre Senellart, Stéphane Bressan:
A Framework for Sampling-Based XML Data Pricing. Trans. Large Scale Data Knowl. Centered Syst. 24: 116-138 (2016) - [j19]Debabrota Basu, Qian Lin, Weidong Chen, Hoang Tam Vo, Zihong Yuan, Pierre Senellart, Stéphane Bressan:
Regularized Cost-Model Oblivious Database Tuning with Reinforcement Learning. Trans. Large Scale Data Knowl. Centered Syst. 28: 96-132 (2016) - [c53]Miyoung Han, Pierre Senellart, Stéphane Bressan, Huayu Wu:
Routing an Autonomous Taxi with Reinforcement Learning. CIKM 2016: 2421-2424 - 2015
- [c51]Debabrota Basu, Qian Lin, Weidong Chen, Hoang Tam Vo, Zihong Yuan, Pierre Senellart, Stéphane Bressan:
Cost-Model Oblivious Database Tuning with Reinforcement Learning. DEXA (1) 2015: 253-268 - 2014
- [c43]Ruiming Tang, Antoine Amarilli, Pierre Senellart, Stéphane Bressan:
Get a Sample for a Discount - Sampling-Based XML Data Pricing. DEXA (1) 2014: 20-34
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last updated on 2024-04-25 02:27 CEST by the dblp team
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