default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDSumio Watanabe
Person information
SPARQL queries 
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[i17]Sumio Watanabe:
Review and Prospect of Algebraic Research in Equivalent Framework between Statistical Mechanics and Machine Learning Theory. CoRR abs/2406.10234 (2024)- 2023
- [c50]Shuya Nagayasu, Sumio Watanabe:
Free Energy of Bayesian Convolutional Neural Network with Skip Connection. ACML 2023: 927-942 - [i16]Naoki Yoshida, Sumio Watanabe:
Upper Bound of Real Log Canonical Threshold of Tensor Decomposition and its Application to Bayesian Inference. CoRR abs/2303.05731 (2023) - [i15]Shuya Nagayasu, Sumio Watanabe:
Bayesian Free Energy of Deep ReLU Neural Network in Overparametrized Cases. CoRR abs/2303.15739 (2023) - [i14]Shuya Nagayasu, Sumio Watanabe:
Free energy of Bayesian Convolutional Neural Network with Skip Connection. CoRR abs/2307.01417 (2023) - 2022
- [j37]Shuya Nagayasu, Sumio Watanabe:
Asymptotic behavior of free energy when optimal probability distribution is not unique. Neurocomputing 500: 528-536 (2022) - [i13]Takumi Watanabe, Sumio Watanabe:
Asymptotic Behavior of Bayesian Generalization Error in Multinomial Mixtures. CoRR abs/2203.06884 (2022) - [i12]Sumio Watanabe:
Mathematical Theory of Bayesian Statistics for Unknown Information Source. CoRR abs/2206.05630 (2022) - [i11]Sumio Watanabe:
Recent Advances in Algebraic Geometry and Bayesian Statistics. CoRR abs/2211.10049 (2022) - 2020
- [j36]Natsuki Kariya, Sumio Watanabe:
Testing Homogeneity for Normal Mixture Models: Variational Bayes Approach. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 103-A(11): 1274-1282 (2020) - [j35]Naoki Hayashi
, Sumio Watanabe:
Asymptotic Bayesian Generalization Error in Latent Dirichlet Allocation and Stochastic Matrix Factorization. SN Comput. Sci. 1(2): 69 (2020)
2010 – 2019
- 2017
- [j34]Naoki Hayashi, Sumio Watanabe:
Upper bound of Bayesian generalization error in non-negative matrix factorization. Neurocomputing 266: 21-28 (2017) - [c49]Masahiro Kohjima, Sumio Watanabe:
Phase Transition Structure of Variational Bayesian Nonnegative Matrix Factorization. ICANN (2) 2017: 146-154 - [c48]Naoki Hayashi, Sumio Watanabe:
Tighter upper bound of real log canonical threshold of non-negative matrix factorization and its application to Bayesian inference. SSCI 2017: 1-8 - [i10]Naoki Hayashi, Sumio Watanabe:
Upper Bound of Bayesian Generalization Error in Stochastic Matrix Factorization. CoRR abs/1709.04212 (2017) - 2016
- [c47]Natsuki Koda, Sumio Watanabe:
Interpretation Method of Nonlinear Multilayer Principal Component Analysis by Using Sparsity and Hierarchical Clustering. ICMLA 2016: 1063-1066 - [i9]Naoki Hayashi, Sumio Watanabe:
Upper Bound of Bayesian Generalization Error in Non-negative Matrix Factorization. CoRR abs/1612.04112 (2016) - 2015
- [i8]Sumio Watanabe:
Bayesian Cross Validation and WAIC for Predictive Prior Design in Regular Asymptotic Theory. CoRR abs/1503.07970 (2015) - 2013
- [j33]Sumio Watanabe:
A widely applicable Bayesian information criterion. J. Mach. Learn. Res. 14(1): 867-897 (2013) - [c46]Shigehiro Ohara, Keisuke Yamazaki, Sumio Watanabe:
A Geometric Evaluation of Self-Organizing Map and Application to City Data Analysis. MIWAI 2013: 165-174 - 2012
- [j32]Koshi Yamada, Sumio Watanabe:
Statistical Learning Theory of Quasi-Regular Cases. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 95-A(12): 2479-2487 (2012) - [c45]Koshi Yamada, Sumio Watanabe:
Information criterion for variational Bayes learning in regular and singular cases. SCIS&ISIS 2012: 1551-1555 - [i7]Sumio Watanabe:
A Widely Applicable Bayesian Information Criterion. CoRR abs/1208.6338 (2012) - [i6]Keisuke Yamazaki, Sumio Watanabe:
Stochastic complexity of Bayesian networks. CoRR abs/1212.2511 (2012) - 2011
- [j31]Daisuke Kaji, Sumio Watanabe:
Two design methods of hyperparameters in variational Bayes learning for Bernoulli mixtures. Neurocomputing 74(11): 2002-2007 (2011) - 2010
- [j30]Daisuke Kaji, Kazuho Watanabe, Sumio Watanabe:
Phase Transition of Variational Bayes Learning in Bernoulli Mixture. Aust. J. Intell. Inf. Process. Syst. 11(4) (2010) - [j29]Sumio Watanabe:
Equations of States in Statistical Learning for an Unrealizable and Regular Case. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 93-A(3): 617-626 (2010) - [j28]Sumio Watanabe:
Asymptotic Equivalence of Bayes Cross Validation and Widely Applicable Information Criterion in Singular Learning Theory. J. Mach. Learn. Res. 11: 3571-3594 (2010) - [j27]Sumio Watanabe:
Equations of states in singular statistical estimation. Neural Networks 23(1): 20-34 (2010) - [j26]Keisuke Yamazaki, Miki Aoyagi, Sumio Watanabe:
Asymptotic analysis of Bayesian generalization error with Newton diagram. Neural Networks 23(1): 35-43 (2010) - [c44]Fumiaki Saitoh, Sumio Watanabe:
On Generalization Error of Self-Organizing Map. ICONIP (2) 2010: 399-406 - [i5]Sumio Watanabe:
Asymptotic Learning Curve and Renormalizable Condition in Statistical Learning Theory. CoRR abs/1001.2957 (2010) - [i4]Sumio Watanabe:
Asymptotic Equivalence of Bayes Cross Validation and Widely Applicable Information Criterion in Singular Learning Theory. CoRR abs/1004.2316 (2010)
2000 – 2009
- 2009
- [j25]Kazuho Watanabe, Motoki Shiga, Sumio Watanabe:
Upper bound for variational free energy of Bayesian networks. Mach. Learn. 75(2): 199-215 (2009) - [j24]Yu Nishiyama, Sumio Watanabe:
Accuracy of Loopy belief propagation in Gaussian models. Neural Networks 22(4): 385-394 (2009) - [c43]Daisuke Kaji, Sumio Watanabe:
Optimal Hyperparameters for Generalized Learning and Knowledge Discovery in Variational Bayes. ICONIP (1) 2009: 476-483 - [i3]Sumio Watanabe:
A Limit Theorem in Singular Regression Problem. CoRR abs/0901.2376 (2009) - [i2]Sumio Watanabe:
Equations of States in Statistical Learning for a Nonparametrizable and Regular Case. CoRR abs/0906.0211 (2009) - 2008
- [j23]Kenji Nagata, Sumio Watanabe:
Asymptotic behavior of exchange ratio in exchange Monte Carlo method. Neural Networks 21(7): 980-988 (2008) - [j22]Kenji Nagata, Sumio Watanabe:
Exchange Monte Carlo Sampling From Bayesian Posterior for Singular Learning Machines. IEEE Trans. Neural Networks 19(7): 1253-1266 (2008) - [c42]Yu Nishiyama, Sumio Watanabe:
On the Minima of Bethe Free Energy in Gaussian Distributions. ICAISC 2008: 1075-1086 - [c41]Yu Nishiyama, Sumio Watanabe:
Generalization of Concave and Convex Decomposition in Kikuchi Free Energy. ICANN (1) 2008: 51-60 - [c40]Masashi Matsumoto, Sumio Watanabe:
Experimental Study of Ergodic Learning Curve in Hidden Markov Models. ICONIP (1) 2008: 688-695 - [c39]Kenji Nagata, Sumio Watanabe:
Design of Exchange Monte Carlo Method for Bayesian Learning in Normal Mixture Models. ICONIP (1) 2008: 696-706 - [c38]Daisuke Kaji, Sumio Watanabe:
Model Selection Method for AdaBoost Using Formal Information Criteria. ICONIP (2) 2008: 903-910 - [c37]Sumio Watanabe:
A formula of equations of states in singular learning machines. IJCNN 2008: 2098-2105 - 2007
- [j21]Shinichi Nakajima, Sumio Watanabe:
Variational Bayes Solution of Linear Neural Networks and Its Generalization Performance. Neural Comput. 19(4): 1112-1153 (2007) - [j20]Kazuho Watanabe, Sumio Watanabe:
Stochastic complexities of general mixture models in variational Bayesian learning. Neural Networks 20(2): 210-219 (2007) - [j19]Kazuho Watanabe, Sumio Watanabe:
Stochastic complexity for mixture of exponential families in generalized variational Bayes. Theor. Comput. Sci. 387(1): 4-17 (2007) - [c36]Sumio Watanabe:
Almost All Learning Machines are Singular. FOCI 2007: 383-388 - [c35]Kenji Nagata, Sumio Watanabe:
Analysis of Exchange Ratio for Exchange Monte Carlo Method. FOCI 2007: 434-439 - [c34]Shinichi Nakajima, Sumio Watanabe:
Generalization Error of Automatic Relevance Determination. ICANN (1) 2007: 1-10 - [c33]Takeshi Matsuda, Sumio Watanabe:
On a Singular Point to Contribute to a Learning Coefficient and Weighted Resolution of Singularities. ICANN (1) 2007: 11-18 - [c32]Yu Nishiyama, Sumio Watanabe:
Theoretical Analysis of Accuracy of Gaussian Belief Propagation. ICANN (1) 2007: 29-38 - [c31]Ryosuke Iriguchi, Sumio Watanabe:
Estimation of Poles of Zeta Function in Learning Theory Using Padé Approximation. ICANN (1) 2007: 88-97 - [c30]Kenji Nagata, Sumio Watanabe:
Algebraic Geometric Study of Exchange Monte Carlo Method. ICANN (1) 2007: 687-696 - [c29]Keisuke Yamazaki, Motoaki Kawanabe, Sumio Watanabe, Masashi Sugiyama, Klaus-Robert Müller:
Asymptotic Bayesian generalization error when training and test distributions are different. ICML 2007: 1079-1086 - [c28]Kenji Nagata, Sumio Watanabe:
Experimental Analysis of Exchange Ratio in Exchange Monte Carlo Method. ICONIP (2) 2007: 67-76 - [c27]Keisuke Yamazaki, Sumio Watanabe:
Experimental Bayesian Generalization Error of Non-regular Models under Covariate Shift. ICONIP (1) 2007: 466-476 - [c26]Miki Aoyagi, Sumio Watanabe:
Resolution of Singularities and Stochastic Complexity of Complete Bipartite Graph-Type Spin Model in Bayesian Estimation. MDAI 2007: 443-454 - [c25]Takeshi Matsuda, Sumio Watanabe:
The Calculation Method of Learning Coefficients by Weighted Resolution of Singularities. MLMTA 2007: 177-181 - [i1]Sumio Watanabe:
Equations of States in Singular Statistical Estimation. CoRR abs/0712.0653 (2007) - 2006
- [j18]Shinichi Nakajima, Sumio Watanabe:
Generalization Performance of Subspace Bayes Approach in Linear Neural Networks. IEICE Trans. Inf. Syst. 89-D(3): 1128-1138 (2006) - [j17]Kazuho Watanabe, Sumio Watanabe:
Stochastic Complexities of Gaussian Mixtures in Variational Bayesian Approximation. J. Mach. Learn. Res. 7: 625-644 (2006) - [c24]Miki Aoyagi, Sumio Watanabe:
Generalization error of three layered learning model in bayesian estimation. Computational Intelligence 2006: 295-300 - [c23]Takeshi Matsuda, Sumio Watanabe:
Analytic Equivalence of Bayes a Posteriori Distributions. ICANN (1) 2006: 113-121 - [c22]Shinichi Nakajima, Sumio Watanabe:
Analytic Solution of Hierarchical Variational Bayes in Linear Inverse Problem. ICANN (2) 2006: 240-249 - [c21]Keisuke Yamazaki, Kenji Nagata, Sumio Watanabe, Klaus-Robert Müller:
A Model Selection Method Based on Bound of Learning Coefficient. ICANN (2) 2006: 371-380 - [c20]Tikara Hosino, Kazuho Watanabe, Sumio Watanabe:
Free Energy of Stochastic Context Free Grammar on Variational Bayes. ICONIP (1) 2006: 407-416 - [c19]Yu Nishiyama, Sumio Watanabe:
Asymptotic Behavior of Stochastic Complexity of Complete Bipartite Graph-Type Boltzmann Machines. ICONIP (1) 2006: 417-426 - [c18]Shingo Takamatsu, Shinichi Nakajima, Sumio Watanabe:
Localized Bayes Estimation for Non-identifiable Models. ICONIP (1) 2006: 650-659 - [c17]Kenji Nagata, Sumio Watanabe:
Generalization Performance of Exchange Monte Carlo Method for Normal Mixture Models. IDEAL 2006: 125-132 - [c16]Kazuho Watanabe, Motoki Shiga, Sumio Watanabe:
Upper Bounds for Variational Stochastic Complexities of Bayesian Networks. IDEAL 2006: 139-146 - [c15]Kenji Nagata, Sumio Watanabe:
The Exchange Monte Carlo Method for Bayesian Learning in Singular Learning Machines. IJCNN 2006: 3351-3357 - 2005
- [j16]Sumio Watanabe:
Algebraic geometry of singular learning machines and symmetry of generalization and training errors. Neurocomputing 67: 198-213 (2005) - [j15]Keisuke Yamazaki, Sumio Watanabe:
Algebraic geometry and stochastic complexity of hidden Markov models. Neurocomputing 69(1-3): 62-84 (2005) - [j14]Miki Aoyagi, Sumio Watanabe:
Stochastic complexities of reduced rank regression in Bayesian estimation. Neural Networks 18(7): 924-933 (2005) - [j13]Keisuke Yamazaki, Sumio Watanabe:
Singularities in complete bipartite graph-type Boltzmann machines and upper bounds of stochastic complexities. IEEE Trans. Neural Networks 16(2): 312-324 (2005) - [c14]Kazuho Watanabe, Sumio Watanabe:
Stochastic Complexity for Mixture of Exponential Families in Variational Bayes. ALT 2005: 107-121 - [c13]Shinichi Nakajima, Sumio Watanabe:
Generalization Error of Linear Neural Networks in an Empirical Bayes Approach. IJCAI 2005: 804-810 - [c12]Kazuho Watanabe, Sumio Watanabe:
Variational Bayesian Stochastic Complexity of Mixture Models. NIPS 2005: 1465-1472 - 2004
- [c11]Kazuho Watanabe, Sumio Watanabe:
Estimation of the Data Region Using Extreme-Value Distributions. ALT 2004: 206-220 - [c10]Keisuke Yamazaki, Sumio Watanabe:
Newton Diagram and Stochastic Complexity in Mixture of Binomial Distributions. ALT 2004: 350-364 - 2003
- [j12]Sumio Watanabe, Shun-ichi Amari:
Learning Coefficients of Layered Models When the True Distribution Mismatches the Singularities. Neural Comput. 15(5): 1013-1033 (2003) - [j11]Keisuke Yamazaki, Sumio Watanabe:
Singularities in mixture models and upper bounds of stochastic complexity. Neural Networks 16(7): 1029-1038 (2003) - [c9]Keisuke Yamazaki, Sumio Watanabe:
Stochastic complexities of hidden Markov models. NNSP 2003: 179-188 - [c8]Keisuke Yamazaki, Sumio Watanabe:
Stochastic Complexity of Bayesian Networks. UAI 2003: 592-599 - 2002
- [j10]Sumio Watanabe:
Errata to "learning efficiency of redundant neural networks in bayesian estimation". IEEE Trans. Neural Networks 13(1): 254 (2002) - [c7]Sumio Watanabe, Shun-ichi Amari:
The Effect of Singularities in a Learning Machine when the True Parameters Do Not Lie on such Singularities. NIPS 2002: 391-398 - 2001
- [j9]Sumio Watanabe:
Algebraic Analysis for Nonidentifiable Learning Machines. Neural Comput. 13(4): 899-933 (2001) - [j8]Sumio Watanabe:
Algebraic geometrical methods for hierarchical learning machines. Neural Networks 14(8): 1049-1060 (2001) - [j7]Sumio Watanabe:
Learning efficiency of redundant neural networks in Bayesian estimation. IEEE Trans. Neural Networks 12(6): 1475-1486 (2001) - 2000
- [c6]Sumio Watanabe:
Algebraic Information Geometry for Learning Machines with Singularities. NIPS 2000: 329-335
1990 – 1999
- 1999
- [c5]Sumio Watanabe:
Algebraic Analysis for Singular Statistical Estimation. ALT 1999: 39-50 - [c4]Sumio Watanabe:
Algebraic Analysis for Non-regular Learning Machines. NIPS 1999: 356-362 - 1998
- [c3]Sumio Watanabe:
Inequalities of Generalization Errors for Layered Neural Networks in Bayesian Learning. ICONIP 1998: 59-62 - [p1]Sumio Watanabe, Kenji Fukumizu:
Probabilistic design. Algorithms and Architectures 1998: 181-229 - 1996
- [j6]Sumio Watanabe:
Solvable models of layered neural networks based on their differential structure. Adv. Comput. Math. 5(1): 205-231 (1996) - [j5]Shin Ishii, Kenji Fukumizu, Sumio Watanabe:
A network of chaotic elements for information processing. Neural Networks 9(1): 25-40 (1996) - 1995
- [j4]Sumio Watanabe:
A Modified Information Criterion for Automatic Model and Parameter Selection in Neural Network Learning. IEICE Trans. Inf. Syst. 78-D(4): 490-499 (1995) - [j3]Kazunori Takatsu, Hidefumi Sawai, Sumio Watanabe, Masahide Yoneyama:
Genetic algorithms applied to bayesian image restoration. Syst. Comput. Jpn. 26(5): 89-98 (1995) - [j2]Sumio Watanabe, Kenji Fukumizu:
Probabilistic design of layered neural networks based on their unified framework. IEEE Trans. Neural Networks 6(3): 691-702 (1995) - 1993
- [c2]Sumio Watanabe:
An Optimization Method of Layered Neural Networks based on the Modified Information Criterion. NIPS 1993: 293-302 - [c1]Sumio Watanabe:
Solvable Models of Artificial Neural Networks. NIPS 1993: 423-430 - 1992
- [j1]Sumio Watanabe, Masahide Yoneyama:
An ultrasonic visual sensor for three-dimensional object recognition using neural networks. IEEE Trans. Robotics Autom. 8(2): 240-249 (1992)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-09-13 00:44 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
