Faculty of Informatics, Gunma University Saito Laboratory

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Faculty of Informatics, Gunma University
Saito Laboratory

Welcome to Saito Lab.

Saito Laboratory studies information theory and its applications to machine learning and information-theoretic security.

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News

2026.05.14
メディア
Shota Saito's "Information Theory" has been published by Kodansha (one of the largest publishers in Japan).
2025.05.05
論文
Our paper "Bayesian Decision Theory on Decision Trees: Uncertainty Evaluation and Interpretability" has been presented in the 28th International Conference on Artificial Intelligence and Statistics (AISTATS).
2022.12.15
論文
Our paper "Non-Asymptotic Bounds of Cumulant Generating Function of Codeword Lengths in Variable-Length Lossy Compression" has been published in IEEE Transactions on Information Theory.

Research

Information Theory
We study lossless source coding, lossy source coding, and guessing problems.
Machine Learning
We study applications of information theory to machine learning.
Information-Theoretic Security
We study applications of information theory to security. In particular, we study differential privacy and privacy-utility tradeoff.
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