Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox

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 

  Access Paper or Ask Questions

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


Feb 19, 2021
Cindy Trinh, Richard Combes

* 14 pages 

  Access Paper or Ask Questions

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


  Access Paper or Ask Questions

Solving Bernoulli Rank-One Bandits with Unimodal Thompson Sampling


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


  Access Paper or Ask Questions