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20212026
most citedAlternating Optimization Approach for Computing -Mutual Information and -Capacity

1 citations · 1 across the 13 of their papers we have counts for

collaborators

14 papers

cs.IT2026

Kolmogorov--Nagumo Mean Frameworks for Conditional Entropy

Akira Kamatsuka, Takahiro Yoshida

This study focuses on conditional entropy frameworks based on the Kolmogorov--Nagumo (KN) mean. First, -KN averaging (\texttt{EPKNAVG}), a KN-mean extension of the -aver…

cs.IT2026

UMVUE-Type Estimators under Bregman Losses

Akira Kamatsuka, Shun Watanabe

We study unbiased estimation under Bregman losses and develop an extension of the classical theory of uniformly minimum variance unbiased estimators (UMVUEs). Exploiting bias--vari…

cs.IT2026

A Generalized Information Bottleneck Method: A Decision-Theoretic Perspective

Akira Kamatsuka, Takahiro Yoshida

The information bottleneck (IB) method seeks a compressed representation of data that preserves information relevant to a target variable for prediction while discarding irrelevant…

cs.IT2026

A Generalized Leakage Interpretation of Alpha-Mutual Information

Akira Kamatsuka, Takahiro Yoshida

This paper presents a unified interpretation of -mutual information (-MI) in terms of generalized -leakage. Specifically, we present a novel interpretation of -MI withi…

cs.IT2025

Several Representations of -Mutual Information and Interpretations as Privacy Leakage Measures

Akira Kamatsuka, Takashiro Yoshida

In this paper, we present several novel representations of -mutual information (-MI) in terms of R{\' e}nyi divergence and conditional R{\' e}nyi entropy. The representations…

cs.IT2024

A Variational Characterization of -Mutual Information and its Application to Computing -Capacity

Akira Kamatsuka, Koki Kazama, Takahiro Yoshida

-mutual information (-MI) is a wide class of information leakage measures, where is a pair of monotonically increasing function and a concave function , whi…

cs.IT2024

A New Algorithm for Computing -Capacity

Akira Kamatsuka, Koki Kazama, Takahiro Yoshida

The problem of computing -capacity for is equivalent to that of computing the correct decoding exponent. Various algorithms for computing them have been proposed, such as…

cs.IT2024★ 1 cited

Alternating Optimization Approach for Computing -Mutual Information and -Capacity

Akira Kamatsuka, Koki Kazama, Takahiro Yoshida

This study presents alternating optimization (AO) algorithms for computing -mutual information (-MI) and -capacity based on variational characterizations of -MI using a…

cs.IT2024

New Algorithms for Computing Sibson Capacity and Arimoto Capacity

Akira Kamatsuka, Yuki Ishikawa, Koki Kazama +1

The Sibson and Arimoto capacity, which are based on the Sibson and Arimoto mutual information (MI) of order α, respectively, are well-known generalizations of the channel capacity…

cs.IT2022

On Hypothesis Testing via a Tunable Loss

Akira Kamatsuka

We consider a problem of simple hypothesis testing using a randomized test via a tunable loss function proposed by Liao \textit{et al}. In this problem, we derive results that corr…

cs.IT2022

An Algorithm for Computing the Stratonovich's Value of Information

Akira Kamatsuka, Takahiro Yoshida, Koki Kazama +1

We propose an algorithm for computing Stratonovich's value of information (VoI) that can be regarded as an analogue of the distortion-rate function. We construct an alternating opt…

cs.IT2022

A Generalization of the Stratonovich's Value of Information and Application to Privacy-Utility Trade-off

Akira Kamatsuka, Takahiro Yoshida, Toshiyasu Matsushima

The Stratonovich's value of information (VoI) is quantity that measure how much inferential gain is obtained from a perturbed sample under information leakage constraint. In this p…

cs.LG2022

Probability Distribution on Rooted Trees

Yuta Nakahara, Shota Saito, Akira Kamatsuka +1

The hierarchical and recursive expressive capability of rooted trees is applicable to represent statistical models in various areas, such as data compression, image processing, and…

stat.ML2021

Probability Distribution on Full Rooted Trees

Yuta Nakahara, Shota Saito, Akira Kamatsuka +1

The recursive and hierarchical structure of full rooted trees is applicable to represent statistical models in various areas, such as data compression, image processing, and machin…