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ORCIDCindy Trinh
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2020 – today
- 2023
[j1]Cindy Trinh
, Silvia Lasala, Olivier Herbinet, Dimitrios Meimaroglou:
On the Development of Descriptor-Based Machine Learning Models for Thermodynamic Properties: Part 2 - Applicability Domain and Outliers. Algorithms 16(12): 573 (2023)- 2022
- [c3]Wei Huang, Richard Combes, Cindy Trinh:
Towards Optimal Algorithms for Multi-Player Bandits without Collision Sensing Information. COLT 2022: 1990-2012 - [c2]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, Tom St. John, Cindy Trinh, Michael Buch, Mark Mazumder, Relja Markovic, Thomas Atta-fosu, Fatih Çakir, Masoud Charkhabi, Xiaodong Chen, Cheng-Ming Chiang, Dave Dexter, Terry Heo, Guenther Schmuelling, Maryam Shabani, Dylan Zika:
MLPerf Mobile Inference Benchmark: An Industry-Standard Open-Source Machine Learning Benchmark for On-Device AI. MLSys 2022 - 2021
- [i4]Cindy Trinh, Richard Combes:
A High Performance, Low Complexity Algorithm for Multi-Player Bandits Without Collision Sensing Information. CoRR abs/2102.10200 (2021) - [i3]Wei Huang, Richard Combes, Cindy Trinh:
Towards Optimal Algorithms for Multi-Player Bandits without Collision Sensing Information. CoRR abs/2103.13059 (2021) - 2020
- [c1]Cindy Trinh, Emilie Kaufmann, Claire Vernade, Richard Combes:
Solving Bernoulli Rank-One Bandits with Unimodal Thompson Sampling. ALT 2020: 862-889 - [i2]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 Çakir, Masoud Charkhabi, Xiaodong Chen, Jimmy Chiang, Dave Dexter, Woncheol Heo, Guenther Schmuelling, Maryam Shabani, Dylan Zika:
MLPerf Mobile Inference Benchmark: Why Mobile AI Benchmarking Is Hard and What to Do About It. CoRR abs/2012.02328 (2020)
2010 – 2019
- 2019
- [i1]Cindy Trinh, Emilie Kaufmann, Claire Vernade, Richard Combes:
Solving Bernoulli Rank-One Bandits with Unimodal Thompson Sampling. CoRR abs/1912.03074 (2019)
Coauthor Index
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