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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 21 - 40 of 97 [Previous]  /  [Next]  
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
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