Asymptotic Learning Curve and Renormalizable Condition in Statistical
Learning Theory

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Asymptotic Learning Curve and Renormalizable Condition in Statistical Learning Theory

18 January 2010

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Papers citing "Asymptotic Learning Curve and Renormalizable Condition in Statistical Learning Theory"

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Review and Prospect of Algebraic Research in Equivalent Framework between Statistical Mechanics and Machine Learning Theory Sumio Watanabe 104 1 0 31 May 2024
Estimating the Local Learning Coefficient at Scale Zach Furman Edmund Lau 67 3 0 06 Feb 2024
Variational Bayesian Neural Networks via Resolution of Singularities Susan Wei Edmund Lau BDL 71 2 0 13 Feb 2023
Recent Advances in Algebraic Geometry and Bayesian Statistics Sumio Watanabe 96 1 0 18 Nov 2022
Mathematical Theory of Bayesian Statistics for Unknown Information Source Sumio Watanabe 98 9 0 11 Jun 2022
Asymptotic Behavior of Free Energy When Optimal Probability Distribution Is Not Unique Shuya Nagayasu Sumio Watanabe 51 7 0 15 Dec 2020
Simultaneous Estimation of Noise Variance and Number of Peaks in Bayesian Spectral Deconvolution Satoru Tokuda Kenji Nagata M. Okada 36 22 0 26 Jul 2016
A Widely Applicable Bayesian Information Criterion Sumio Watanabe 126 790 0 31 Aug 2012
The Quantum Relative Entropy as a Rate Function and Information Criteria K. Okamura 67 3 0 14 Feb 2012
Large Deviation Strategy for Inverse Problem I. Ojima K. Okamura 82 5 0 19 Jan 2011
Asymptotic Equivalence of Bayes Cross Validation and Widely Applicable Information Criterion in Singular Learning Theory Sumio Watanabe 192 2,407 0 14 Apr 2010