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Picture for Cindy Trinh

Cindy Trinh

ENS Paris Saclay

Towards Optimal Algorithms for Multi-Player Bandits without Collision Sensing Information

Mar 24, 2021
Wei Huang, Richard Combes, Cindy Trinh

* 23 pages 

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A High Performance, Low Complexity Algorithm for Multi-Player Bandits Without Collision Sensing Information

Feb 19, 2021
Cindy Trinh, Richard Combes

* 14 pages 

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MLPerf Mobile Inference Benchmark: Why Mobile AI Benchmarking Is Hard and What to Do About It

Dec 03, 2020
Vijay Janapa Reddi, David Kanter, Peter Mattson, Jared Duke, Thai Nguyen, Ramesh Chukka, Kenneth Shiring, Koan-Sin Tan, Mark Charlebois, William Chou, Mostafa El-Khamy, Jungwook Hong, Michael Buch, Cindy Trinh, Thomas Atta-fosu, Fatih Cakir, Masoud Charkhabi, Xiaodong Chen, Jimmy Chiang, Dave Dexter, Woncheol Heo, Guenther Schmuelling, Maryam Shabani, Dylan Zika

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Solving Bernoulli Rank-One Bandits with Unimodal Thompson Sampling

Dec 06, 2019
Cindy Trinh, Emilie Kaufmann, Claire Vernade, Richard Combes

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