Rate-Distortion Analysis of Minimum Excess Risk in Bayesian Learning

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Rate-Distortion Analysis of Minimum Excess Risk in Bayesian Learning

10 May 2021

Hassan Hafez-Kolahi

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Papers citing "Rate-Distortion Analysis of Minimum Excess Risk in Bayesian Learning"

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Title
Information-theoretic Generalization Analysis for Expected Calibration Error Futoshi Futami Masahiro Fujisawa UQCV CML 164 4 0 24 May 2024
Minimum Excess Risk in Bayesian Learning Aolin Xu Maxim Raginsky 410 40 0 29 Dec 2020
Sharpened Generalization Bounds based on Conditional Mutual Information and an Application to Noisy, Iterative Algorithms Mahdi Haghifam Jeffrey Negrea Ashish Khisti Daniel M. Roy Gintare Karolina Dziugaite 160 106 0 27 Apr 2020
Rate Distortion For Model Compression: From Theory To Practice Weihao Gao Yu-Han Liu Chong-Jun Wang Sewoong Oh 66 31 0 09 Oct 2018
Information-theoretic analysis of generalization capability of learning algorithms Aolin Xu Maxim Raginsky 169 446 0 22 May 2017