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Rate-Distortion Analysis of Minimum Excess Risk in Bayesian Learning
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Rate-Distortion Analysis of Minimum Excess Risk in Bayesian Learning

Hassan Hafez-Kolahi
Behrad Moniri
S. Kasaei
M. Baghshah
ArXiv (abs)PDFHTML

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

5 / 5 papers shown
Title
Information-theoretic Generalization Analysis for Expected Calibration Error
Information-theoretic Generalization Analysis for Expected Calibration Error
Futoshi Futami
Masahiro Fujisawa
UQCVCML
164
4
0
24 May 2024
Minimum Excess Risk in Bayesian Learning
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
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
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
Information-theoretic analysis of generalization capability of learning algorithms
Aolin Xu
Maxim Raginsky
169
447
0
22 May 2017

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