Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |

IT |
2019-07-26 10:30 |
Tokyo |
NATULUCK-Iidabashi-Higashiguchi Ekimaeten |
Unbiased Estimation Equation for f-Separable Bregman Distortion Measures and the Properties of Its Estimators Masahiro Kobayashi, Kazuho Watanabe (Toyohashi Tech.) IT2019-22 |
In this study, we discuss unbiased estimation equations in a class of objective function using the monotonically increas... [more] |
IT2019-22 pp.37-42 |

IBISML |
2018-11-05 15:10 |
Hokkaido |
Hokkaido Citizens Activites Center (Kaderu 2.7) |
[Poster Presentation]
Generalized Dirichlet-Process-Means with f-Mean and Analysis of Influence Function Masahiro Kobayashi, Kazuho Watanabe (Toyohashi Tech.) IBISML2018-50 |
DP-means clustering was obtained as an extension of $K$-means clustering. While it is implemented with a simple and effi... [more] |
IBISML2018-50 pp.45-52 |

IBISML |
2018-11-05 15:10 |
Hokkaido |
Hokkaido Citizens Activites Center (Kaderu 2.7) |
[Poster Presentation]
Online Prediction for Varying Bernoulli Processes by Minimax Strategy Kenta Konagayoshi, Kazuho Watanabe (Toyohashi Tech) IBISML2018-61 |
Online prediction methods sequentially predict furure data from time series data. Since online pre-
diction does not ne... [more] |
IBISML2018-61 pp.127-134 |

IBISML |
2018-11-05 15:10 |
Hokkaido |
Hokkaido Citizens Activites Center (Kaderu 2.7) |
[Poster Presentation]
Analysis of Empirical Bayes Estimation for Three Parameter Group Lasso Tsukasa Yoshida, Kazuho Watanabe (Toyohashi Tech) IBISML2018-93 |
As sparse estimation methods, Lasso and Group Lasso are often used for wide applications. It is necessary for successful... [more] |
IBISML2018-93 pp.367-372 |

IBISML |
2017-11-09 13:00 |
Tokyo |
Univ. of Tokyo |
[Poster Presentation]
Extraction of Distribtion Changes using On-line t-SNE Daisuke Kaji (Denso), Masahiro Kobayashi, Kazuho Watanabe (Toyohashi Tech.) IBISML2017-36 |
[more] |
IBISML2017-36 pp.9-13 |

IBISML |
2017-11-09 13:00 |
Tokyo |
Univ. of Tokyo |
Calculation method for grid-structured markov random field using corner transfer matrix renormalization group Tomoharu Yoshida, Kazuho Watanabe, Kyoji Umemura (Toyohashi Univ. of Tech.) IBISML2017-37 |
Calculating the marginal distribution of the grid-structured markov random field model in probabilistic image processing... [more] |
IBISML2017-37 pp.15-22 |

IBISML |
2017-03-06 14:00 |
Tokyo |
Tokyo Institute of Technology |
Exact calculation of grid-structured Markov random field model by corner transfer matrix method Tomoharu Yoshida, Kazuho Watanabe, Kyoji Umemura (Toyohashi Univ. of Tech.) IBISML2016-101 |
Calculating the marginal distribution of the grid-structured Markov random field model in probabilistic image processing... [more] |
IBISML2016-101 pp.9-16 |

IBISML |
2016-11-17 14:00 |
Kyoto |
Kyoto Univ. |
Extraction of Cluster Structural Changes using Variational Bayes Daisuke Kaji (Denso), Kazuho Watanabe (Toyohashi Tech.) IBISML2016-78 |
Variational Bayes learning (VB) is widely applied to clustering problems as the low computational cost algorithm of Baye... [more] |
IBISML2016-78 pp.229-233 |

IBISML |
2014-11-18 15:00 |
Aichi |
Nagoya Univ. |
[Poster Presentation]
Asymptotic Analysis of Variational Bayesian Latent Dirichlet Allocation Shinichi Nakajima (TU Berlin), Issei Sato, Masashi Sugiyama (Univ. of Tokyo), Kazuho Watanabe (Toyohashi Univ. of Tech.), Hiroko Kobayashi (Nikon) IBISML2014-64 |
Latent Dirichlet allocation (LDA) is a popular generative model
of various objects such as texts and images,
where an ... [more] |
IBISML2014-64 pp.219-226 |

IBISML |
2013-03-05 11:00 |
Aichi |
Nagoya Institute of Technology |
Non-Achievability of Asymptotic Minimax Regret without Knowledge of the Sample Size Kazuho Watanabe (NAIST), Teemu Roos, Petri Myllymaki (Helsinki Inst. for Information Tech.) IBISML2012-101 |
The normalized maximum likelihood (NML) model achieves the minimax regret for coding data of fixed sample size $n$. It i... [more] |
IBISML2012-101 pp.61-67 |

IBISML |
2012-11-07 15:30 |
Tokyo |
Bunkyo School Building, Tokyo Campus, Tsukuba Univ. |
A Calculating Method for Estimation Accuracy of Latent Variables Based on the Free Energy Functions Keisuke Yamazaki (Tokyo Tech), Kazuho Watanabe (NAIST), Daisuke Kaji (Konicaminolta MG) IBISML2012-44 |
(To be available after the conference date) [more] |
IBISML2012-44 pp.75-81 |

IBISML |
2012-03-13 15:05 |
Tokyo |
The Institute of Statistical Mathematics |
A Method for Packet Loss Rate Estimation Using Active and Passive Measurements Atsushi Miyamoto, Kazuho Watanabe, Kazushi Ikeda (NAIST) IBISML2011-104 |
It is an important problem for a network manager to understand characteristics of a network. A method for estimating an ... [more] |
IBISML2011-104 pp.117-121 |

IBISML |
2011-11-10 15:45 |
Nara |
Nara Womens Univ. |
Nonparametric Estimation of Mixture Model and Minimum Divergence Methods Kazuho Watanabe (NAIST), Shiro Ikeda (ISM) IBISML2011-78 |
We discuss a nonparametric estimation method of the mixing distribution in mixture models.
We propose an objective fun... [more] |
IBISML2011-78 pp.243-249 |

NC |
2011-07-25 13:45 |
Hyogo |
Graduate School of Engineering, Kobe University |
General Framework for Local Variational Approximation of Bayesian Learning Using Bregman Divergence Kazuho Watanabe (NAIST), Masato Okada (Univ. of Tokyo), Kazushi Ikeda (NAIST) NC2011-25 |
The local variational method is a technique to approximate an intractable posterior distribution in Bayesian learning. T... [more] |
NC2011-25 pp.25-30 |

IBISML |
2011-03-29 16:10 |
Osaka |
Nakanoshima Center, Osaka Univ. |
Minimum Variational Free Energy and Average Generalization Error in Latent Variable Models Kazuho Watanabe (NAIST) IBISML2010-108 |
(Advance abstract in Japanese is available) [more] |
IBISML2010-108 pp.29-36 |

IBISML |
2010-11-04 15:00 |
Tokyo |
IIS, Univ. of Tokyo |
[Poster Presentation]
Phase Transition Structure in Variational Bayes Learning of Bernoulli Mixture Daisuke Kaji (Tokyo tech), Kazuho Watanabe (NAIST), Sumio Watanabe (Tokyo tech) IBISML2010-63 |
(Advance abstract in Japanese is available) [more] |
IBISML2010-63 pp.27-31 |

NC |
2010-07-27 14:55 |
Kyoto |
Kyoto University |
Hierarchical Bayes method for NIRS-DOT inverse problem and its phase diagrams Atsushi Miyamoto, Kazuho Watanabe, Kazushi Ikeda (NAIST), Masa-aki Sato (ATR) NC2010-38 |
The NIRS-DOT is a method to reconstruct tomographic images from the data by solving the linear equations, which have amb... [more] |
NC2010-38 pp.51-56 |

NC, MBE (Joint) |
2010-03-10 14:10 |
Tokyo |
Tamagawa University |
Variational Bayes approach for NIRS-DOT inverse problem Atsushi Miyamoto, Kazuho Watanabe, Kazushi Ikeda (NAIST), Masa-aki Sato (ATR) NC2009-137 |
NIRS-DOT is tomography which is reconstructed from NIRS data. NIRS-DOT requires to solve the inverse problem which has i... [more] |
NC2009-137 pp.291-296 |

NC, MBE (Joint) |
2010-03-10 14:35 |
Tokyo |
Tamagawa University |
Information Divergences in Local Variational Approximation of Bayesian Posterior Distribution Kazuho Watanabe (NAIST), Masato Okada (Univ. of Tokyo), Kazushi Ikeda (NAIST) NC2009-138 |
Local variational method is a technique to approximate intractable posterior distributions in Bayesian learning.
In thi... [more] |
NC2009-138 pp.297-302 |

NC |
2008-01-15 16:50 |
Hokkaido |
Centennial Hall, Hokkaido Univ. |
Estimation of an instanteneous spike rate with the transfer matrix method Hiroyuki Tanaka (Tokyo Univ.), Keiji Miura (Harvard Univ./RIKEN), Kazuho Watanabe (Tokyo Univ.), Masato Okada (Tokyo Univ./RIKEN) NC2007-96 |
The neuronal spikes are irregular and unpredictable process, and can be regarded as a kind of the stochastic events.
By... [more] |
NC2007-96 pp.55-60 |