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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
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Committee Date Time Place Paper Title / Authors Abstract Paper #
RCC, ISEC, IT, WBS 2024-03-14
Osaka Osaka Univ. (Suita Campus) IT2023-111 ISEC2023-110 WBS2023-99 RCC2023-93 This paper deals with variable-length lossy source coding in which the criteria are a cumulant generating function of co... [more] IT2023-111 ISEC2023-110 WBS2023-99 RCC2023-93
IT 2023-08-03
Kanagawa Shonan Institute of Technology
(Primary: On-site, Secondary: Online)
Bayesian Predictive Distribution for Poisson Observables Under a Class of Prior Distribution and $alpha$-Divergence
Shota Saito (Gunma Univ.) IT2023-19
We investigate a Bayesian predictive distribution for independent Poisson observables. The alpha-divergence is adopted a... [more] IT2023-19
RCC, ISEC, IT, WBS 2023-03-14
(Primary: On-site, Secondary: Online)
[Invited Talk] Information-Theoretic Analyses for Two Problems Taking Security into Consideration -- Parameter Estimation Problem under Local Differential Privacy, and Privacy-Utility Tradeoff Problem --
Shota Saito (Gunma Univ.) IT2022-71 ISEC2022-50 WBS2022-68 RCC2022-68
This lecture surveys the following two problems: 1) parameter estimation problem under $(epsilon, delta)$-local differen... [more] IT2022-71 ISEC2022-50 WBS2022-68 RCC2022-68
IT, RCS, SIP 2023-01-24
Gunma Maebashi Terrsa
(Primary: On-site, Secondary: Online)
Lower Bound on Maximum Redundancy of Predictive Source Coding for Context Tree Source
Shota Saito (Gunma Univ.) IT2022-37 SIP2022-88 RCS2022-216
In [Krichevskiy, IEEE Trans. Inf. Theory, vol.44, no.1, pp.296--303, 1998], a lower bound of the maximum redundancy of a... [more] IT2022-37 SIP2022-88 RCS2022-216
IT, EMM 2022-05-18
Gifu Gifu University
(Primary: On-site, Secondary: Online)
On Bayesian Approach for Classification of Context Tree Model
Shota Saito (Gunma Univ.) IT2022-11 EMM2022-11
This study deals with the Bayesian classification problem, which was investigated by Merhav and Ziv [IEEE Trans. Inf. Th... [more] IT2022-11 EMM2022-11
IBISML 2022-03-08
Online Online Tree-Structured Generative Model with Latent Variables and Approximate Variational Bayesian Inference
Naoki Ichijo, Yuta Nakahara (Waseda Univ.), Shota Saito (Gunma Univ.), Toshiyasu Matsushima (Waseda Univ.) IBISML2021-33
 [more] IBISML2021-33
RCS, SIP, IT 2022-01-21
Online Online An Approximation by Meta-Tree Boosting Method to Bayesian Optimal Prediction for Decision Tree Model
Wenbin Yu, Koki Kazama, Yuta Nakahara, Naoki Ichijo (Waseda Univ.), Shota Saito (Gunma Univ.), Toshiyasu Matsushima (Waseda Univ.) IT2021-67 SIP2021-75 RCS2021-235
 [more] IT2021-67 SIP2021-75 RCS2021-235
RCS, SIP, IT 2022-01-21
Online Online Meta-Bound for Lower Bounds of Bayes Risk
Shota Saito (Gunma Univ.) IT2021-82 SIP2021-90 RCS2021-250
In the parameter estimation problem of statistics and machine learning, information-theoretic lower bounds of the Bayes ... [more] IT2021-82 SIP2021-90 RCS2021-250
IT 2021-07-09
Online Online Bayesian Optimal Prediction and Its Approximation Algorithm for the Difference of Response Variables with and without Measures Considering Individual Differences by Assuming Latent Clusters
Taisuke Ishiwatari (Waseda Univ.), Shota Saito (Gunma Univ.), Toshiyasu Matsushima (Waseda Univ.) IT2021-23
In observational studies, there are problems such as "the measure can be given only once to the target" and "the charact... [more] IT2021-23
IT 2021-07-09
Online Online A Note on the Reduction of Computational Complexity for Linear Regression Model Including Cluster Explanatory Variables and Regression Explanatory Variables -- Bayes Optimal Prediction and Sub-Optimal Algorithm --
Sho Kayama (Waseda Univ.), Shota Saito (Gunma Univ.), Toshiyasu Matsushima (Waseda Univ.) IT2021-24
By considering the probability model with the structure that the data is divided into clusters and each cluster has an i... [more] IT2021-24
WBS, IT, ISEC 2021-03-04
Online Online An Efficient Bayes Coding Algorithm for the Source Based on Context Tree Models that Vary from Section to Section
Koshi Shimada, Shota Saito, Toshiyasu Matsushima (Waseda Univ.) IT2020-115 ISEC2020-45 WBS2020-34
In this paper, we present an efficient coding algorithm for a non-stationary source based on context tree models that ve... [more] IT2020-115 ISEC2020-45 WBS2020-34
WBS, IT, ISEC 2021-03-04
Online Online [Poster Presentation] Non-asymptotic converse theorem on the overflow probability of variable-to-fixed length codes
Shota Saito, Toshiyasu Matsushima (Waseda Univ.) IT2020-130 ISEC2020-60 WBS2020-49
This study considers variable-to-fixed length codes and investigates the non-asymptotic converse theorem on the threshol... [more] IT2020-130 ISEC2020-60 WBS2020-49
EA, US, SP, SIP, IPSJ-SLP [detail] 2021-03-03
Online Online An optimal prediction of phoneme under Bayes criterion by weighting multiple hidden Markov models
Taishi Yamaoka, Shota Saito, Toshiyasu Matsushima (Waseda Univ.) EA2020-76 SIP2020-107 SP2020-41
In this paper, we propose a prediction method for prediction problems using a hidden Markov model. Specifically, it is a... [more] EA2020-76 SIP2020-107 SP2020-41
IT 2020-12-02
Online Online Approximation Method for Bayes Optimal Prediction in Phoneme Recognition Problem
Taishi Yamaoka, Shota Saito, Toshiyasu Matsushima (Waseda Univ.) IT2020-30
In this paper, we propose a method of phoneme recognition. In the previous studies on phoneme recognition using the Hidd... [more] IT2020-30
IT 2020-12-02
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
IT 2020-07-16
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
IT 2019-07-25
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
IT 2019-07-25
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
OPE, OCS, LQE 2018-05-11
Tokyo Kikai-Shinko-Kaikan Bldg (Tokyo) [Special Invited Talk] DMD-Unmanaged Long-Haul SDM Transmission Over 2500-km 12-core x 3-mode MC-FMF and 6300-km 3-mode FMF Employing Intermodal Interference Cancelling Technique
Kohki Shibahara, Takayuki Mizuno, Doohwan Lee, Yutaka Miyamoto, Hirotaka Ono, Kazuhide Nakajima (NTT), Shota Saitoh, Katsuhiro Takenaga (Fujikura), Kunimasa Saitoh (Hokkaido Univ.) OCS2018-7 OPE2018-7 LQE2018-7
This talk provides an overview of advanced space division multiplexing (SDM) technologies that we have developed over th... [more] OCS2018-7 OPE2018-7 LQE2018-7
WBS, IT, ISEC 2018-03-08
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
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