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Romain Camilleri
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2020 – today
- 2024
- [c5]Zhihan Xiong, Romain Camilleri, Maryam Fazel, Lalit Jain, Kevin G. Jamieson:
A/B Testing and Best-arm Identification for Linear Bandits with Robustness to Non-stationarity. AISTATS 2024: 1585-1593 - 2023
- [i6]Zhihan Xiong, Romain Camilleri, Maryam Fazel, Lalit Jain, Kevin G. Jamieson:
A/B Testing and Best-arm Identification for Linear Bandits with Robustness to Non-stationarity. CoRR abs/2307.15154 (2023) - [i5]Romain Camilleri, Andrew Wagenmaker, Jamie Morgenstern, Lalit Jain, Kevin Jamieson:
Fair Active Learning in Low-Data Regimes. CoRR abs/2312.08559 (2023) - 2022
- [c4]Blake Mason, Lalit Jain, Subhojyoti Mukherjee, Romain Camilleri, Kevin G. Jamieson, Robert D. Nowak:
Nearly Optimal Algorithms for Level Set Estimation. AISTATS 2022: 7625-7658 - [c3]Romain Camilleri, Andrew Wagenmaker, Jamie H. Morgenstern, Lalit Jain, Kevin G. Jamieson:
Active Learning with Safety Constraints. NeurIPS 2022 - [i4]Romain Camilleri, Andrew Wagenmaker, Jamie Morgenstern, Lalit Jain, Kevin G. Jamieson:
Active Learning with Safety Constraints. CoRR abs/2206.11183 (2022) - 2021
- [c2]Romain Camilleri, Kevin Jamieson, Julian Katz-Samuels:
High-dimensional Experimental Design and Kernel Bandits. ICML 2021: 1227-1237 - [c1]Romain Camilleri, Zhihan Xiong, Maryam Fazel, Lalit Jain, Kevin G. Jamieson:
Selective Sampling for Online Best-arm Identification. NeurIPS 2021: 11071-11082 - [i3]Romain Camilleri, Julian Katz-Samuels, Kevin G. Jamieson:
High-Dimensional Experimental Design and Kernel Bandits. CoRR abs/2105.05806 (2021) - [i2]Romain Camilleri, Zhihan Xiong, Maryam Fazel, Lalit Jain, Kevin Jamieson:
Selective Sampling for Online Best-arm Identification. CoRR abs/2110.14864 (2021) - [i1]Blake Mason, Romain Camilleri, Subhojyoti Mukherjee, Kevin Jamieson, Robert D. Nowak, Lalit Jain:
Nearly Optimal Algorithms for Level Set Estimation. CoRR abs/2111.01768 (2021)
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