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I am a fourth-year Ph.D. student in Computer Science & Engineering at the University of Washington working with Kevin Jamieson. My research interests include active learning, bandits, statistical learning and fairness in machine learning. I have also worked with Zaid Harchaoui and Maryam Fazel on imitation learning and safe statistical learning for applications in robotics.

Before that, I completed a master degree at ENS Paris-Saclay in Mathematics Applied to Vision and Learning (MVA) and a master degree at Mines Paristech in Statistics and Probabilities. I also studied applications of operators adapted wavelets to image processing with Houman Owhadi during an exchange program with the CMS department of Caltech.

Publications:

Nearly Optimal Algorithms for Level Set Estimation, Blake Mason, Romain Camilleri, Subhojyoti Mukherjee, Kevin Jamieson, Robert Nowak, Lalit Jain, AISTATS 2022, arxiv

Selective Sampling for Online Best-Arm Identification, Romain Camilleri*, Zhihan Xiong*, Maryam Fazel, Lalit Jain, Kevin Jamieson, NeurIPS 2021, arxiv

High-Dimensional Experimental Design and Kernel Bandits, Romain Camilleri, Julian Katz-Samuels, Kevin Jamieson, ICML 2021, long presentation (3% acceptance rate), arxiv


Preprints:

Active Learning with Safety Constraints, Romain Camilleri, Andrew Wagenmaker, Jamie Morgenstern, Lalit Jain, Kevin Jamieson, arxiv



Contact:

Email: camilr at cs dot washington dot edu