Romain Camilleri

According to our database, Romain Camilleri authored at least 7 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Fair Active Learning in Low-Data Regimes.

Romain Camilleri, Andrew Wagenmaker, Jamie Morgenstern, Lalit Jain, Kevin Jamieson

CoRR, 2023

A/B Testing and Best-arm Identification for Linear Bandits with Robustness to Non-stationarity.

Zhihan Xiong, Romain Camilleri, Maryam Fazel, Lalit Jain, Kevin G. Jamieson

CoRR, 2023

2022

Active Learning with Safety Constraints.

Romain Camilleri, Andrew Wagenmaker, Jamie Morgenstern, Lalit Jain, Kevin G. Jamieson

CoRR, 2022

Active Learning with Safety Constraints.

Romain Camilleri, Andrew Wagenmaker, Jamie H. Morgenstern, Lalit Jain, Kevin G. Jamieson

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Nearly Optimal Algorithms for Level Set Estimation.

Blake Mason, Lalit Jain, Subhojyoti Mukherjee, Romain Camilleri, Kevin G. Jamieson, Robert D. Nowak

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Selective Sampling for Online Best-arm Identification.

Romain Camilleri, Zhihan Xiong, Maryam Fazel, Lalit Jain, Kevin G. Jamieson

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

High-dimensional Experimental Design and Kernel Bandits.

Romain Camilleri, Kevin Jamieson, Julian Katz-Samuels

Proceedings of the 38th International Conference on Machine Learning, 2021