Search Results for author: David Zhao

Found 4 papers, 0 papers with code

Likelihood-Free Frequentist Inference: Bridging Classical Statistics and Machine Learning in Simulation and Uncertainty Quantification

no code implementations8 Jul 2021 Niccolò Dalmasso, David Zhao, Rafael Izbicki, Ann B. Lee

This paper presents a statistical framework for LFI that unifies classical statistics with modern machine learning to: (1) efficiently construct frequentist confidence sets and hypothesis tests with finite-sample guarantees of nominal coverage (type I error control) and power; (2) provide practical diagnostics for assessing empirical coverage over the entire parameter space.

MD-split+: Practical Local Conformal Inference in High Dimensions

no code implementations7 Jul 2021 Benjamin LeRoy, David Zhao

Quantifying uncertainty in model predictions is a common goal for practitioners seeking more than just point predictions.

Density Estimation

Reinforcement learning for bandwidth estimation and congestion control in real-time communications

no code implementations4 Dec 2019 Joyce Fang, Martin Ellis, Bin Li, Siyao Liu, Yasaman Hosseinkashi, Michael Revow, Albert Sadovnikov, Ziyuan Liu, Peng Cheng, Sachin Ashok, David Zhao, Ross Cutler, Yan Lu, Johannes Gehrke

Bandwidth estimation and congestion control for real-time communications (i. e., audio and video conferencing) remains a difficult problem, despite many years of research.

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