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Asymptotic Learning Curve and Renormalizable Condition in Statistical Learning Theory
18 January 2010
Sumio Watanabe
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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
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
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