Publications

• Solving Bernoulli rank-one bandits with unimodal Thompson sampling, Cindy Trinh, Emilie Kaufmann, Claire Vernade, Richard Combes. Algorithmic and Learning Theory (ALT 2020).
  Paper, Code, Presentation.

• A High Performance, Low Complexity Algorithm for Multi-Player Bandits Without Collision Sensing Information, Cindy Trinh, Richard Combes.
  Preprint, Code.

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

• Towards Optimal Algorithms for Multi-Player Bandits without Collision Sensing Information, Wei Huang, Richard Combes, Cindy Trinh.
  Preprint