Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
IT |
2020-12-02 10:30 |
Online |
Online |
Error Probability of Classification Based on the Analysis of the Bayes Code
-- Extension and Example -- Shota Saito, Toshiyasu Matsushima (Waseda Univ.) IT2020-32 |
Suppose that we have two training sequences generated by parametrized distributions $P_{theta^*}$ and $P_{xi^*}$, where ... [more] |
IT2020-32 pp.44-49 |
IT |
2020-07-16 14:45 |
Online |
Online |
Asymptotic Evaluation of $alpha$-divergence between VB Posterior Predictive Distribution and Bayesian Predictive Distribution Kazuki Yamada, Shota Saito, Toshiyasu Matsushima (Waseda Univ.) IT2020-14 |
In this paper, we consider the problem of determining probability distribution of $X_{n+1}$ given ${X_i }_{i=1}^{n}$ fol... [more] |
IT2020-14 pp.19-23 |
IT, EMM |
2020-05-28 15:00 |
Online |
Online |
Bayes Optimal Detecting Relevant Changes for i.p.i.d. Sources Kairi Suzuki, Akira Kamatsuka, Toshiyasu Matsushima (Waseda Univ.) IT2020-3 EMM2020-3 |
The problems of detecting change points are studied in various fields.
There are various types of change-point detectio... [more] |
IT2020-3 EMM2020-3 pp.13-18 |
IT, EMM |
2020-05-28 15:25 |
Online |
Online |
An Autoregressive Image Generative Model and the Bayes Code for It Yuta Nakahara, Toshiyasu Matsushima (Waseda Univ.) IT2020-4 EMM2020-4 |
In this paper, we propose an autoregressive stochastic generative model for images.
This model should be one of the mos... [more] |
IT2020-4 EMM2020-4 pp.19-24 |
ISEC, IT, WBS |
2020-03-10 13:50 |
Hyogo |
University of Hyogo (Cancelled but technical report was issued) |
A Statistical Decision-Theoretic Approach for Measuring Privacy Risk in Information Disclosure Problem Alisa Miyashita, Akira Kamatsuka (Waseda Univ.), Takahiro Yoshida (Yokohama College of Commerce), Toshiyasu Matsushima (Waseda Univ.) IT2019-104 ISEC2019-100 WBS2019-53 |
In this paper, we deal with the problem of database statistics publishing with privacy and utility guarantees. While var... [more] |
IT2019-104 ISEC2019-100 WBS2019-53 pp.95-100 |
ISEC, IT, WBS |
2020-03-11 11:45 |
Hyogo |
University of Hyogo (Cancelled but technical report was issued) |
A Note on the Relationship between Smooth Locally Decodable Codes and Private Information Retrieval Koki Kazama, Akira Kamatsuka (Waseda Univ.), Takahiro Yoshida (Yokohama Col. of Commerce), Toshiyasu Matsushima (Waseda Univ.) IT2019-120 ISEC2019-116 WBS2019-69 |
We focus on smooth locally decodable codes (SLDC) and Private Information Retrieval (PIR).
Recently, the relationship b... [more] |
IT2019-120 ISEC2019-116 WBS2019-69 pp.201-206 |
IT |
2019-07-25 14:25 |
Tokyo |
NATULUCK-Iidabashi-Higashiguchi Ekimaeten |
Bayes Optimal Prediction and Its Approximative Algorithm on Model Including Cluster Explanatory Variables and Regression Explanatory Variables Haruka Murayama, Shota Saito, Yuta Nakahara, Toshiyasu Matsushima (Waseda Univ.) IT2019-16 |
In this research, data are assumed to be divided in clusters based on a part of the continuous explanatory variables, an... [more] |
IT2019-16 pp.5-10 |
IT |
2019-07-25 14:50 |
Tokyo |
NATULUCK-Iidabashi-Higashiguchi Ekimaeten |
Bayes Optimal Classification on Decision Tree Model and Its Approximative Algorithm Using Ensemble Learning Nao Dobashi, Shota Saito, Toshiyasu Matsushima (Waseda Univ.) IT2019-17 |
In this paper we consider classification problem about discrete category $y$ regarding discrete variables $bm{x}$. Deci... [more] |
IT2019-17 pp.11-16 |
NC, IBISML, IPSJ-MPS, IPSJ-BIO [detail] |
2019-06-17 15:25 |
Okinawa |
Okinawa Institute of Science and Technology |
Optimal Estimating the Number of Change Points for Sources with Piecewise Constant parameters under Bayesian Criterion Kairi Suzuki, Akira Kamatsuka, Toshiyasu Matsushima (Waseda Univ.) IBISML2019-6 |
The problem of estimating the number of the change points is an important problem in various real problems.There have be... [more] |
IBISML2019-6 pp.35-41 |
EMM, IT |
2019-05-23 15:05 |
Hokkaido |
Asahikawa International Conference Hall |
Gradient Coding based on LDGM Codes and Stochastic Gradient Descent Shunsuke Horii (Waseda Univ.), Takahiro Yoshida (Yokohama Col. of Commerce), Manabu Kobayashi, Toshiyasu Matsushima (Waseda Univ.) IT2019-3 EMM2019-3 |
[more] |
IT2019-3 EMM2019-3 pp.13-18 |
IBISML |
2018-11-05 15:10 |
Hokkaido |
Hokkaido Citizens Activites Center (Kaderu 2.7) |
[Poster Presentation]
Asymptotic Evaluation of Classification in the Presence of Generalized Label Noise Goki Yasuda, Tota Suko, Manabu Kobayashi, Toshiyasu Matsushima (Waseda Univ.) IBISML2018-84 |
In classification problem, there are many cases where noise is added to the label. Learning in these cases is called lea... [more] |
IBISML2018-84 pp.301-306 |
WBS, IT, ISEC |
2018-03-08 09:00 |
Tokyo |
Katsusika Campas, Tokyo University of Science |
Evaluation of Bayes Predictive Distributions under Unknown Parametric Models on Misspecified Models Hirokazu Kono, Shota Saito, Toshiyasu Matsushima (Waseda Univ.) IT2017-103 ISEC2017-91 WBS2017-84 |
In this paper, we discuss a problem to estimate the conditional distribution of $Y_{N+1}$ given $x_{N+1}$ and ${(x_t,y_t... [more] |
IT2017-103 ISEC2017-91 WBS2017-84 pp.1-6 |
IBISML |
2018-03-05 17:25 |
Fukuoka |
Nishijin Plaza, Kyushu University |
Bayesian Independent Component Analysis under Hierarchical Model on Latent Variables Kai Asaba, Shota Saito, Shunsuke Horii, Toshiyasu Matsushima (Waseda Univ.) IBISML2017-97 |
Independent component analysis (ICA) deals with the problem of estimating unknown latent variables which generate the ob... [more] |
IBISML2017-97 pp.49-53 |
IT |
2017-07-14 10:50 |
Chiba |
Chiba University |
Variable-Length Intrinsic Randomness Problem Allowing Non-Vanishing Underflow Probability Jun Yoshizawa, Shota Saito, Toshiyasu Matsushima (Waseda Univ.) IT2017-29 |
This paper deals with the variable-length intrinsic randomness problem for general sources. Previous study adopts the me... [more] |
IT2017-29 pp.73-78 |
IT, EMM |
2016-05-19 13:15 |
Hokkaido |
Otaru Economic Center |
A Note on Support Recovery of Sparse Signals using Belief Propagation Shunsuke Horii, Toshiyasu Matsushima, Shigeichi Hirasawa (Waseda Univ.) IT2016-4 EMM2016-4 |
In this paper, we propose a new support recovery algorithm from noisy measurements based on the belief propagation (BP) ... [more] |
IT2016-4 EMM2016-4 pp.19-24 |
IT, EMM |
2016-05-19 13:40 |
Hokkaido |
Otaru Economic Center |
A Consideration on Relationships between Correlation of Information Stored on Nodes and Coding Efficiency for Cooperative Regenerating Codes Takahiro Yoshida (Yokohama College of Commerce), Toshiyasu Matsushima (Waseda Univ.) IT2016-5 EMM2016-5 |
In this study, we consider cooperative regenerating codes for distributed storage systems.
Cooperative regenerating cod... [more] |
IT2016-5 EMM2016-5 pp.25-30 |
PRMU, IPSJ-CVIM, MVE [detail] |
2016-01-22 15:05 |
Osaka |
|
A Note on the Optimal Data Prediction under Bayes Criterion for Multidimensional Linear Regression Models Assuming Latent Variables Mikio Ushioda, Shota Saito, Toshiyasu Matsushima (Waseda Univ.) PRMU2015-129 MVE2015-51 |
[more] |
PRMU2015-129 MVE2015-51 pp.269-273 |
PRMU, IPSJ-CVIM, MVE [detail] |
2016-01-22 15:35 |
Osaka |
|
A Note on the Computational Complexity Reduction Method of the Optimal Prediction under Bayes Criterion in Semi-Supervised Learning Yuto Nakano, Shota Saito, Toshiyasu Matsushima (Waseda Univ.) PRMU2015-130 MVE2015-52 |
In this paper, we deal with a prediction problem of the semi-supervised learning based on the statistical decision theor... [more] |
PRMU2015-130 MVE2015-52 pp.275-280 |
PRMU, IPSJ-CVIM, MVE [detail] |
2016-01-22 16:05 |
Osaka |
|
a Note on a Privacy-Preserving Method for Distributed Regularized Logistic Regression Hideyuki Masui, Nozomi Miya, Toshiyasu Matsushima (Waseda Univ.) PRMU2015-131 MVE2015-53 |
In this paper, we study a privacy-preserving logistic regression. We consider the situation that two users have differen... [more] |
PRMU2015-131 MVE2015-53 pp.281-286 |
RCS, IT, SIP |
2016-01-18 10:10 |
Osaka |
Kwansei Gakuin Univ. Osaka Umeda Campus |
A Note on Unequal Error Protection in Random Network Coding Tomohiko Saito (Tokyo City Univ.), Koki Kazama (Waseda Univ.), Toshihiro Niinomi (Tokyo City Univ.), Toshiyasu Matsushima (Waseda Univ.) IT2015-48 SIP2015-62 RCS2015-280 |
Unequal Error Protection (UEP) codes were proposed by Masnick et al. and organized by Dunning, Gils and so on. On the ot... [more] |
IT2015-48 SIP2015-62 RCS2015-280 pp.1-6 |