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Asymptotic Learning Curve and Renormalizable Condition in Statistical
  Learning Theory
v1v2 (latest)

Asymptotic Learning Curve and Renormalizable Condition in Statistical Learning Theory

18 January 2010
Sumio Watanabe
ArXiv (abs)PDFHTML

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

11 / 11 papers shown
Title
Review and Prospect of Algebraic Research in Equivalent Framework between Statistical Mechanics and Machine Learning Theory
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
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
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
Recent Advances in Algebraic Geometry and Bayesian Statistics
Sumio Watanabe
94
1
0
18 Nov 2022
Mathematical Theory of Bayesian Statistics for Unknown Information
  Source
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
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
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
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
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
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
Asymptotic Equivalence of Bayes Cross Validation and Widely Applicable Information Criterion in Singular Learning Theory
Sumio Watanabe
192
2,407
0
14 Apr 2010
1