Researcher Profile and Settings

Researcher

• Name

  SAITO Shouta

Affiliation

• Faculty of Informatics Studies course, Associate Professor

Profile and Settings

• Name

  Saito, Shota

Foreign language

• Use in presentation

  English

• Use in publication

  English

Affiliation

• Gunma University

Affiliation

• Affiliation

  Gunma University

Education

• Apr. 2015, Mar. 2018, Waseda University, School of Fundamental Science and Engineering, Department of Pure and Applied Mathematics
• Apr. 2013, Mar. 2015, Waseda University, School of Fundamental Science and Engineering, Department of Pure and Applied Mathematics
• Apr. 2009, Mar. 2013, Waseda University, School of Fundamental Science and Engineering, Department of Applied Mathematics
• Apr. 2006, Mar. 2009, Tohoku Gakuin Senior High School

Association Memberships

• The Institute of Electronics, Information and Communication Engineers (IEICE), May 2020, 9999
• The Institute of Electrical and Electronics Engineers (IEEE), Jul. 2016, 9999

Research Experience

• Apr. 2021, 9999, Gunma University, Faculty of Informatics, Associate Professor, Associate prof lecturer lv
• Oct. 2021, Mar. 2023, Yokohama National University, College of Engineering Science
• Jul. 2021, Mar. 2022, Researcher postdoc lv
• Apr. 2021, Mar. 2022, Waseda University, School of Fundamental Science and Engineering, Lecturer
• Aug. 2020, Mar. 2021, Waseda University, Center for Data Science, Concurrent member
• Apr. 2018, Mar. 2021, Waseda University, School of Fundamental Science and Engineering, Assistant Professor (without tenure), Others
• Apr. 2013, Mar. 2018, Waseda University Honjo Senior High School, Department of Mathematics, Part-time lecturer, Lecturer

Research Activities

Research Areas

• Informatics, Information theory
• Manufacturing technology (mechanical, electrical/electronic, chemical engineering), Communication and network engineering

Research Interests

• Information Theory
• Shannon Theory
• Machine learning
• Data Science
• Information-theoretic security

Published Papers

• Bayesian Decision Theory on Decision Trees: Uncertainty Evaluation and Interpretability, Yuta Nakahara, Shota Saito, Naoki Ichijo, Koki Kazama, Toshiyasu Matsushima, 05 May 2025, Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258, 1045, 1053, International conference proceedings
• An Upper Bound of Cumulant Generating Function of Codeword Lengths in Variable-Length Lossy Source Coding Under Logarithmic Loss, Shota Saito, 12 Nov. 2024, Proceedings of 2024 International Symposium on Information Theory and Its Applications, International conference proceedings
• Soft Guessing Under Log-Loss Distortion Allowing Errors, Shota Saito, 12 Jul. 2024, 2024 IEEE International Symposium on Information Theory, International conference proceedings
• Meta-Bound on Lower Bounds of Bayes Risk in Parameter Estimation, Shota Saito, 01 Mar. 2024, IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, E107-A, 3, Scientific journal
• An Efficient Bayes Coding Algorithm for Changing Context Tree Model, Koshi SHIMADA, Shota SAITO, Toshiyasu MATSUSHIMA, 01 Mar. 2024, IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, E107.A, 3, 448, 457, Scientific journal
• Bayes optimal estimation and its approximation algorithm for difference with and without treatment under IRSLC model, Taisuke Ishiwatari, Shota Saito, Yuta Nakahara, Yuji Iikubo, Toshiyasu Matsushima, 03 Nov. 2023, International Journal of Data Science and Analytics, Scientific journal
• Discovery of Contrast Itemset with Statistical Background Between Two Continuous Variables, Kaoru Shimada; Shogo Matsuno; Shota Saito, 28 Aug. 2023, The 25th International Conference on Big Data Analytics and Knowledge Discovery (DAWAK 2023), 114, 119, International conference proceedings
• Hyperparameter Learning of Bayesian Context Tree Models, Yuta Nakahara; Shota Saito; Koshi Shimada; Toshiyasu Matsushima, 26 Jun. 2023, Proceedings of 2023 IEEE International Symposium on Information Theory, International conference proceedings
• Non-Asymptotic Bounds of Cumulant Generating Function of Codeword Lengths in Variable-Length Lossy Compression, Shota Saito, Toshiyasu Matsushima, Apr. 2023, IEEE Transactions on Information Theory, 69, 4, 2113, 2119, Scientific journal

  DOI
• Bayes Optimal Estimation and Its Approximation Algorithm for Difference with and without Treatment under URLC Model, Taisuke Ishiwatari; Shota Saito; Yuta Nakahara; Yuji Iikubo; Toshiyasu Matsushima, 19 Oct. 2022, Proceedings of 2022 International Symposium on Information Theory and Its Applications, International conference proceedings
• On Meta-Bound for Lower Bounds of Bayes Risk, Shota Saito, 01 Jul. 2022, Proceedings of 2022 IEEE International Symposium on Information Theory, International conference proceedings
• Probability Distribution on Rooted Trees, Yuta Nakahara; Shota Saito; Akira Kamatsuka; Toshiyasu Matsushima, 27 Jun. 2022, Proceedings of 2022 IEEE International Symposium on Information Theory, International conference proceedings
• Upper Bound on Privacy-Utility Tradeoff Allowing Positive Excess Distortion Probability, Shota Saito, Toshiyasu Matsushima, 01 Mar. 2022, IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, E105.A, 3, 425, 427, Scientific journal

  DOI
• Probability Distribution on Full Rooted Trees, Yuta Nakahara, Shota Saito, Akira Kamatsuka, Toshiyasu Matsushima, 24 Feb. 2022, Entropy, 24, 3, 328, 346, Scientific journal

  DOI
• An Efficient Bayes Coding Algorithm for the Non-Stationary Source in Which Context Tree Model Varies from Interval to Interval, Koshi Shimada; Shota Saito; Toshiyasu Matsushima, 20 Oct. 2021, Proceedings of 2021 IEEE Information Theory Workshop, International conference proceedings
• Cluster's Number Free Bayes Prediction of General Framework on Mixture of Regression Models, Haruka Murayama, Shota Saito, Yuji Iikubo, Yuta Nakahara, Toshiyasu Matsushima, 20 Sep. 2021, Journal of Statistical Theory and Applications, Scientific journal

  DOI
• Evaluation of Error Probability of Classification Based on the Analysis of the Bayes Code: Extension and Example, Shota Saito; Toshiyasu Matsushima, 14 Jul. 2021, Proceedings of 2021 IEEE International Symposium on Information Theory, 1445, 1450, International conference proceedings

  DOI
• Meta-Tree Random Forest: Probabilistic Data-Generative Model and Bayes Optimal Prediction, Nao Dobashi; Shota Saito; Yuta Nakahara; Toshiyasu Matsushima, 18 Jun. 2021, Entropy, 23, 6, 768, 768, Scientific journal

  DOI
• On Two Information Quantities Relating Two Distortion Balls, Shota Saito; Toshiyasu Matsushima, Oct. 2020, Proceedings of 2020 International Symposium on Information Theory and Its Applications, 16, 20, International conference proceedings
• Evaluation of Error Probability of Classification Based on the Analysis of the Bayes Code, Shota Saito; Toshiyasu Matsushima, 21 Jun. 2020, Proceedings of 2020 IEEE International Symposium on Information Theory, 2510, 2514, International conference proceedings

  DOI
• A Note on Mixed Level Experimental Designs Using Augmented Orthogonal Arrays, Junki YAMAGUCHI; Koki KAZAMA; Akira KAMATSUKA; Shota SAITO; Toshiyasu MATSUSHIMA, 01 Jan. 2020, IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, J103-A, 1, 17, 24, Scientific journal
• Variable-Length Intrinsic Randomness on Two Performance Criteria based on Variational Distance, Jun Yoshizawa; Shota Saito; Toshiyasu Matsushima, 01 Dec. 2019, IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, E102-A, 12, 1642, 1650, Scientific journal

  DOI
• Non-Asymptotic Fundamental Limits of Guessing Subject to Distortion, Shota Saito; Toshiyasu Matsushima, 08 Jul. 2019, Proceedings of 2019 IEEE International Symposium on Information Theory, 652, 656, International conference proceedings

  DOI
• Bayesian Independent Component Analysis under Hierarchical Model on Independent Components, Kai Asaba; Shota Saito; Shunsuke Horii; Toshiyasu Matsushima, 14 Nov. 2018, Proceedings of Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 959, 962, International conference proceedings

  DOI
• Variable-Length Intrinsic Randomness Allowing Positive Value of the Average Variational Distance, Jun Yoshizawa; Shota Saito; Toshiyasu Matsushima, 30 Oct. 2018, Proceedings of 2018 International Symposium on Information Theory and Its Applications, 354, 358, International conference proceedings

  DOI
• New Results on Variable-Length Lossy Compression Allowing Positive Overflow and Excess Distortion Probabilities, Shota Saito; Hideki Yagi; Toshiyasu Matsushima, 30 Oct. 2018, Proceedings of 2018 International Symposium on Information Theory and Its Applications, 359, 363, International conference proceedings

  DOI
• Cumulant Generating Function of Codeword Lengths in Variable-Length Lossy Compression Allowing Positive Excess Distortion Probability, Shota Saito; Toshiyasu Matsushima, 19 Jun. 2018, Proceedings of 2018 IEEE International Symposium on Information Theory, 881, 885, International conference proceedings

  DOI
• Non-Asymptotic and Asymptotic Analyses of Source Coding: An Approach from the Viewpoint of the Overflow Probability, Shota Saito, Mar. 2018, Dissertation, 1, 108, Doctoral thesis
• Spatially "Mt. Fuji" Coupled LDPC codes, Yuta Nakahara; Shota Saito; Toshiyasu Matsushima, 01 Dec. 2017, IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, E100A, 12, 2594, 2606, Scientific journal

  DOI
• Evaluation of overflow probability of bayes code in moderate deviation regime, Shota Saito; Toshiyasu Matsushima, 01 Dec. 2017, IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, E100A, 12, 2728, 2731, Scientific journal

  DOI
• Variable-Length Lossy Compression Allowing Positive Overflow and Excess Distortion Probabilities, Shota Saito; Hideki Yagi; Toshiyasu Matsushima, 27 Jun. 2017, Proceedings of 2017 IEEE International Symposium on Information Theory, 1568, 1572, International conference proceedings

  DOI
• Second-Order Achievable Rate Region of Slepian-Wolf Coding Problem in terms of Smooth Max-Entropy for General Sources, Shota Saito; Toshiyasu Matsushima, 01 Dec. 2016, IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, E99A, 12, 2275, 2280, Scientific journal

  DOI
• Threshold of Overflow Probability Using Smooth Max-Entropy in Lossless Fixed-to-Variable Length Source Coding for General Sources, Shota Saito; Toshiyasu Matsushima, 01 Dec. 2016, IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, E99A, 12, 2286, 2290, Scientific journal

  DOI
• Evaluation of Overflow Probability of Bayes Code in Moderate Deviation Regime, Shota Saito; Toshiyasu Matsushima, 31 Oct. 2016, Proceedings of 2016 International Symposium on Information Theory and Its Applications, 1, 5, International conference proceedings
• Threshold of Overflow Probability in Terms of Smooth Max-Entropy for Variable-Length Compression Allowing Errors, Shota Saito; Toshiyasu Matsushima, 31 Oct. 2016, Proceedings of 2016 International Symposium on Information Theory and Its Applications, 21, 25, International conference proceedings
• Spatially “Mt. Fuji” Coupled LDPC Codes, Yuta Nakahara; Shota Saito; Toshiyasu Matsushima, 31 Oct. 2016, Proceedings of 2016 International Symposium on Information Theory and Its Applications, 201, 205, International conference proceedings
• Evaluation of the Bayes Code from Viewpoints of the Distribution of Its Codeword Lengths, Shota Saito; Nozomi Miya; Toshiyasu Matsushima, 01 Dec. 2015, IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, E98A, 12, 2407, 2414, Scientific journal

  DOI
• Fundamental Limit and Pointwise Asymptotics of the Bayes Code for Markov Sources, Shota Saito; Nozomi Miya; Toshiyasu Matsushima, 18 Jun. 2015, Proceedings of 2015 IEEE International Symposium on Information Theory, 1986, 1990, International conference proceedings

  DOI
• Evaluation of the Minimum Overflow Threshold of Bayes Codes for a Markov Source, Shota Saito; Nozomi Miya; Toshiyasu Matsushima, 27 Oct. 2014, Proceedings of 2014 International Symposium on Information Theory and Its Applications, 211, 215, International conference proceedings

Presentations

• マルチメッセージシャッフルモデルによる局所差分プライベート行結合データのプライバシ増幅, 千田 浩司, 齋藤 翔太, 高木 理, 第202回マルチメディア通信と分散処理・第108回コンピュータセキュリティ合同研究発表会, 17 Mar. 2025, 17 Mar. 2025, 18 Mar. 2025, Japanese
• A Note on Two Upper Bounds of Cumulant Generating Function of Codeword Lengths in Variable-Length Lossy Source Coding Under Logarithmic Loss, Shota Saito, Hamdi Joudeh, 第47回情報理論とその応用シンポジウム, 11 Dec. 2024, 10 Dec. 2024, 13 Dec. 2024, English
• Two Problems Under Logarithmic Loss: Soft Guessing and Lossy Source Coding, Shota Saito, Mathematics for Innovation in Information and Communication Technology, 25 Sep. 2024, 25 Sep. 2024, 27 Sep. 2024, English
• Learned Lossless Compression via an Extension of the Bayes Codes, Yuta Nakahara, Shota Saito, Koshi Shimada, Toshiyasu Matsushima, Learn to Compress workshop @ ISIT 2024, 07 Jul. 2024, English
• シャッフルモデルによる局所差分プライベート行結合データのプライバシ増幅に関する考察, 千田 浩司; 齋藤 翔太; 高木 理, 第198回DPS・第104回CSEC合同研究発表会, 18 Mar. 2024, 18 Mar. 2024, 19 Mar. 2024, Japanese
• 対数損失歪みのもとでの可変長有歪み情報源符号の符号語長のキュムラント母関数の上界, 齋藤 翔太, 電子情報通信学会 情報理論研究会, 14 Mar. 2024, 13 Mar. 2024, 14 Mar. 2024, Japanese
• $f$-Divergence Differential Privacy, Shota Saito; Koji Chida; Osamu Takaki, 2024年 暗号と情報セキュリティシンポジウム（SCIS2024), 23 Jan. 2024, 23 Jan. 2024, 26 Jan. 2024, English
• 「分類問題に対する情報理論的アプローチ」の分類整理と解説, 齋藤翔太, 第46回情報理論とその応用シンポジウム(SITA2023), 28 Nov. 2023, 28 Nov. 2023, 01 Dec. 2023, Japanese
• Log-lossのもとでの誤りを許したsoft guessingについて, 齋藤翔太, 第12回シャノン理論ワークショップ(STW2023), 24 Oct. 2023, 23 Oct. 2023, 25 Oct. 2023, Japanese
• Bayesian Predictive Distribution for Poisson Observables Under a Class of Prior Distribution and α-Divergence, Shota Saito, 電子情報通信学会 情報理論研究会, 03 Aug. 2023, 03 Aug. 2023, 04 Aug. 2023, English
• セキュリティを考慮した2つの問題に対する情報理論的解析について ～ Local Differential Privacyの下でのパラメータ推定問題と、プライバシーと有用性のトレードオフ問題 ～, 齋藤翔太, 電子情報通信学会 情報理論研究会, 14 Mar. 2023, 14 Mar. 2023, 15 Mar. 2023, Japanese, Domestic conference
• 文脈木情報源に対する逐次型情報源符号化の最大冗長度の下界について, 齋藤翔太, 電子情報通信学会 情報理論研究会, 24 Jan. 2023, 24 Jan. 2023, 25 Jan. 2023, Japanese, Domestic conference
• Lower Bound of Bayes Risk in Parameter Estimation under Local Differential Privacy, Shota Saito, 第45回情報理論とその応用シンポジウム, 01 Dec. 2022, 29 Nov. 2022, 02 Dec. 2022, English
• 決定木モデルにおけるメタツリーに対するマルコフ連鎖モンテカルロ法, 中原 悠太, 齋藤 翔太, 一條 尚希, 風間 皐希, 松嶋 敏泰, 第45回情報理論とその応用シンポジウム, 30 Nov. 2022, 29 Nov. 2022, 02 Dec. 2022, Japanese
• ベイズ決定理論に基づく機械学習ライブラリ：BayesML 0.2.0, 中原悠太; 齋藤翔太; 島田航志; 飯窪祐二; 風間皐希; 一條尚希; 松嶋敏泰; BayesML Developers, 第25回情報論的学習理論ワークショップ(IBIS2022), 22 Nov. 2022, 20 Nov. 2022, 23 Nov. 2022, Japanese
• 「情報」を測る：情報理論における情報の捉え方, 齋藤翔太, 第10回 データ科学センター・先端社会科学研究所ジョイントセミナー, 01 Nov. 2022, 01 Nov. 2022, 01 Nov. 2022, Japanese
• ベイズ決定理論に基づく機械学習ライブラリ：BayesML 0.1.0, 中原 悠太;一條 尚希;島田 航志;飯窪 祐二;齋藤 翔太;風間 皐希;松嶋 敏泰;BayesML Code Authors, 2022年度統計関連学会連合大会, 07 Sep. 2022, 04 Sep. 2022, 08 Sep. 2022, Japanese
• On Bayesian Approach for Classification of Context Tree Model, Shota Saito, 電子情報通信学会 情報理論研究会, 18 May 2022, 17 May 2022, 18 May 2022, English
• 潜在的分岐変数を持つ木構造からなる生成モデルと変分ベイズ法による近似推論, 一條尚希; 中原悠太; 齋藤翔太; 松嶋敏泰, 電子情報通信学会 情報論的学習理論と機械学習研究会, 08 Mar. 2022, 08 Mar. 2022, 09 Mar. 2022, Japanese, Domestic conference
• ベイズリスクの下界に対するmeta-bound, 齋藤翔太, 電子情報通信学会 情報理論研究会, 21 Jan. 2022, 20 Jan. 2022, 21 Jan. 2022, English, Domestic conference
• 決定木モデルに対するベイズ最適な予測のメタツリーブースティング法による近似, 于文斌; 風間皐希; 中原悠太; 一條尚希; 齋藤翔太; 松嶋敏泰, 電子情報通信学会 情報理論研究会, 21 Jan. 2022, 20 Jan. 2022, 21 Jan. 2022, Japanese, Domestic conference
• A Refined Analysis of Merhav and Ziv's Bayesian Approach for Classification of Markov Sources, Shota Saito, 第44回情報理論とその応用シンポジウム, 10 Dec. 2021, 08 Dec. 2021, 10 Dec. 2021, English, Domestic conference
• Probability Distribution on Full Rooted Trees, Yuta Nakahara; Shota Saito; Akira Kamatsuka; Toshiyasu Matsushima, 第44回情報理論とその応用シンポジウム, 09 Dec. 2021, 08 Dec. 2021, 10 Dec. 2021, English, Domestic conference
• URLモデルを仮定した下での新しい個体への施策の有無による反応の差に関するベイズ最適な決定とその近似アルゴリズム, 山田一翔; 中原悠太; 齋藤翔太; 飯窪祐二; 松嶋敏泰, 第44回情報理論とその応用シンポジウム, 09 Dec. 2021, 08 Dec. 2021, 10 Dec. 2021, Japanese, Domestic conference
• URLモデルを仮定した下での母集団全体に対する施策の有無の差に関するベイズ最適な推定とその近似アルゴリズム, 石渡泰祐; 齋藤翔太; 中原悠太; 飯窪祐二; 松嶋敏泰, 第44回情報理論とその応用シンポジウム, 09 Dec. 2021, 08 Dec. 2021, 10 Dec. 2021, Japanese, Domestic conference
• マルコフ連鎖モンテカルロメタツリー法, 中原悠太; 齋藤翔太; 風間皐希; 于文斌; 一條尚希; 松嶋敏泰, 第24回情報論的学習理論ワークショップ(IBIS2021), 12 Nov. 2021, 10 Nov. 2021, 13 Nov. 2021, Japanese, Domestic conference
• A Note on the Reduction of Computational Complexity for Linear Regression Model Including Cluster Explanatory Variables and Regression Explanatory Variables, Sho Kayama; Shota Saito; Toshiyasu Matsushima, 電子情報通信学会 情報理論研究会, 09 Jul. 2021, 08 Jul. 2021, 09 Jul. 2021, Japanese
• 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; Shota Saito; Toshiyasu Matsushima, 電子情報通信学会 情報理論研究会, 09 Jul. 2021, 08 Jul. 2021, 09 Jul. 2021, Japanese
• ベイズ符号～基礎と広がり～, 齋藤翔太, 電気通信大学 土曜セミナー, 13 Mar. 2021, 13 Mar. 2021, 13 Mar. 2021, Japanese
• Non-asymptotic converse theorem on the overflow probability of variable-to-fixed length codes, Shota Saito; Toshiyasu Matsushima, 電子情報通信学会情報理論研究会, 04 Mar. 2021, 04 Mar. 2021, 05 Mar. 2021, English
• 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, 電子情報通信学会情報理論研究会, 04 Mar. 2021, 04 Mar. 2021, 05 Mar. 2021, Japanese
• An optimal prediction of phoneme under Bayes criterion by weighting multiple hidden Markov models, Taishi Yamaoka; Shota Saito; Toshiyasu Matsushima, 電子情報通信学会音声研究会, 03 Mar. 2021, 03 Mar. 2021, 04 Mar. 2021, Japanese
• ベイズ符号の解析に基づいた分類誤り確率の評価 ～拡張と具体例～, 齋藤翔太; 松嶋敏泰, 電子情報通信学会情報理論研究会, 02 Dec. 2020, 01 Dec. 2020, 03 Dec. 2020, English
• 音素認識問題におけるベイズ規準の下最適な予測に対する近似手法, 山岡大志; 齋藤翔太; 松嶋敏泰, 電子情報通信学会情報理論研究会, 02 Dec. 2020, 01 Dec. 2020, 03 Dec. 2020, Japanese
• 線形回帰モデルの混合の統一的なフレームワークにおけるベイズ最適な予測とその近似アルゴリズム, 村山 春香; 齋藤 翔太; 飯窪 祐二; 中原 悠太; 松嶋 敏泰, 2020年度統計関連学会連合大会, 10 Sep. 2020, 08 Sep. 2020, 12 Sep. 2020, Japanese
• Probabilistic Data Generating Process on Tree Structure Model: Bayes Optimal Prediction and Sub-Optimal Algorithm, Nao Dobashi; Shota Saito; Yuta Nakahara; Toshiyasu Matsushima, 2020年度統計関連学会連合大会, 10 Sep. 2020, 08 Sep. 2020, 12 Sep. 2020, English
• Asymptotic Evaluation of $\alpha$-divergence between VB Posterior Predictive Distribution and Bayesian Predictive Distribution, Kazuki Yamada; Shota Saito; Toshiyasu Matsushima, 電子情報通信学会情報理論研究会, 16 Jul. 2020, 16 Jul. 2020, 16 Jul. 2020, Japanese
• 潜在変数に非正規分布を仮定した回帰モデルにおけるベイズ基準の下最適な予測に対する近似手法, 天野祐貴; 齋藤翔太; 松嶋敏泰, 第42回情報理論とその応用シンポジウム, 28 Nov. 2019, Japanese, Domestic conference
• Guessing ～基礎と広がり～, 齋藤翔太, 第42回情報理論とその応用シンポジウム, 27 Nov. 2019, Japanese, Domestic conference
• Evaluation of Error Probability of Classification Based on the Analysis of the Bayes Code, 齋藤翔太; 松嶋敏泰, 第42回情報理論とその応用シンポジウム, 27 Nov. 2019, English, Domestic conference
• Bayes Optimal Classification on Decision Tree Model and Its Approximative Algorithm Using Ensemble Learning, Nao Dobashi; Shota Saito; Toshiyasu Matsushima, 電子情報通信学会情報理論研究会, 25 Jul. 2019, Japanese, Domestic conference
• 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, 電子情報通信学会情報理論研究会, 25 Jul. 2019, Japanese, Domestic conference
• Non-Asymptotic and Asymptotic Fundamental Limits of Guessing Subject to Distortion, 齋藤翔太; 松嶋敏泰, 第41回情報理論とその応用シンポジウム, 20 Dec. 2018, English, Domestic conference
• 拡張直交配列を利用した多水準の実験計画法に関する一考察, 山口純輝; 風間皐希; 鎌塚明; 齋藤翔太; 松嶋敏泰, 第41回情報理論とその応用シンポジウム, 19 Dec. 2018, Japanese, Domestic conference
• ISIT2018参加報告, 齋藤翔太, 第7回誤り訂正符号のワークショップ, 04 Sep. 2018, Japanese, Domestic conference
• 情報スペクトルとその裾確率について, 齋藤翔太, 電子情報通信学会総合大会, 22 Mar. 2018, Japanese, Domestic conference
• 真のパラメトリックモデルが未知のベイズ予測分布のmisspecifiedな場合の性能解析, 河野浩和; 齋藤翔太; 松嶋敏泰, 電子情報通信学会情報理論研究会, 08 Mar. 2018, Japanese, Domestic conference
• 潜在変数に階層モデルを仮定したベイズ独立成分分析, 浅葉海; 齋藤翔太; 堀井俊佑; 松嶋敏泰, 電子情報通信学会情報論的学習理論と機械学習研究会, 05 Mar. 2018, Japanese, Domestic conference
• 正値の変動距離を許容した可変長intrinsic randomness問題, 吉澤潤; 齋藤翔太; 松嶋敏泰, 第40回情報理論とその応用シンポジウム予稿集, 30 Nov. 2017, Japanese, Domestic conference
• 正値の歪み超過確率を許容した可変長有歪み情報源符号化における符号語長のキュムラント母関数, 齋藤翔太; 松嶋敏泰, 第40回情報理論とその応用シンポジウム予稿集, 29 Nov. 2017, Japanese, Domestic conference
• 微少なアンダーフロー確率を許した可変長intrinsic randomness問題, 吉澤潤; 齋藤翔太; 松嶋敏泰, 電子情報通信学会情報理論研究会, 14 Jul. 2017, Japanese, Domestic conference
• Variable-Length Lossy Compression Allowing Positive Overflow and Excess Distortion Probabilities, Shota Saito; Hideki Yagi; Toshiyasu Matsushima, 第39回情報理論とその応用シンポジウム, 14 Dec. 2016, English, Domestic conference
• 半教師付き学習におけるベイズ基準のもと最適な予測の計算量削減方法に関する一考察, 中野雄斗; 齋藤翔太; 松嶋敏泰, 電子情報通信学会パターン認識・メディア理解研究会, 22 Jan. 2016, Japanese, Domestic conference
• 潜在変数を仮定した多次元線形回帰モデルにおけるベイズ基準のもと最適なデータ予測に関する一考察, 潮田幹生; 齋藤翔太; 松嶋敏泰, 電子情報通信学会パターン認識・メディア理解研究会, 22 Jan. 2016, Japanese, Domestic conference
• メッセージ伝搬にもとづく疎な2部グラフ上のショートサイクル数え上げ法に関する研究, 中原悠太; 齋藤翔太; 松嶋敏泰, 電子情報通信学会情報理論研究会, 18 Jan. 2016, Japanese, Domestic conference
• 一般情報源に対するSmooth最大エントロピーを用いた可変長符号化の達成可能 オーバーフローしきい値について, 齋藤 翔太; 松嶋 敏泰, 第38回情報理論とその応用シンポジウム, 25 Nov. 2015, Japanese, Domestic conference
• 一般情報源に対するIntrinsic randomness問題における強逆定理のバリエーション, 齋藤 翔太; 松嶋 敏泰, 電子情報通信学会情報理論研究会, 13 Jul. 2015, Japanese, Domestic conference
• 一般情報源に対するSlepian-Wolf符号化問題の2次の達成可能レート領域の別表現, 齋藤 翔太; 宮 希望; 松嶋 敏泰, 電子情報通信学会情報理論研究会, 02 Mar. 2015, Japanese, Domestic conference
• 消失中継通信路上でのDecode - and - Forward 型通信におけるパンクチャされた空間結合LDPC符号のユニバーサル性, 中原悠太; 齋藤翔太; 鎌塚明; 松嶋敏泰, 第37回情報理論とその応用シンポジウム, 11 Dec. 2014, Japanese, Domestic conference
• 非定常情報源に対するBayes符号のオーバーフロー確率における最小しきい値の評価, 守屋 貴司; 齋藤 翔太; 宮 希望; 松嶋 敏泰, 第37回情報理論とその応用シンポジウム, 10 Dec. 2014, Japanese, Domestic conference
• 定常エルゴードマルコフ情報源に対するBayes符号の符号語長の漸近正規性と重複対数の法則, 齋藤 翔太; 宮 希望; 松嶋 敏泰, 第37回情報理論とその応用シンポジウム予稿集, 10 Dec. 2014, Japanese, Domestic conference
• 非線形コンバイナ型乱数生成器に対するSum - Product Algorithmを用いる攻撃に関する一考察, 久保航汰; 齋藤翔太; 鎌塚明; 松嶋敏泰, 電子情報通信学会情報論的学習理論と機械学習研究会, 18 Nov. 2014, Japanese, Domestic conference
• ベイズ符号のオーバーフロー確率における最小しきい値の評価, 齋藤 翔太; 宮 希望; 野村 亮; 松嶋 敏泰, 第36回情報理論とその応用シンポジウム, 27 Nov. 2013, Japanese, Domestic conference

Awards

• Symposium on Information Theory and its Applications Young Researcher Paper Award, Shota Saito, Dec. 2018
• Azusa Ono Memorial Award (Academic), Shota Saito, Waseda University, Mar. 2017
• Student Paper Award in ISITA 2016, Shota Saito, Nov. 2016
• IEEE IT Society Japan Chapter Young Researcher Best Paper Award in ISITA 2016, Nov. 2016

Research Projects

• Apr. 2023, Mar. 2027, Coinvestigator
• Apr. 2023, Mar. 2026, Coinvestigator
• Apr. 2022, Mar. 2025, Principal investigator, Competitive research funding, 22K14254
• Apr. 2020, Mar. 2021, Principal investigator
• Apr. 2019, Mar. 2023, Principal investigator, Competitive research funding, 19K14989
• Apr. 2019, Mar. 2020, Principal investigator, Competitive research funding
• Shota Saito, Waseda University, Waseda University Grant for Special Research Projects, Apr. 2018, Mar. 2019, Principal investigator, Competitive research funding

Educational Activities

Teaching Experience

• Information Theory, Yokohama National University, Oct. 2022, Mar. 2023
• Information Theory, Gunma University, Apr. 2022, Jul. 2022
• Information Theory, Yokohama National University, Oct. 2021, Mar. 2022, Undergraduate special subjects
• Numerical Analysis, Gunma University, Oct. 2021, Mar. 2022, Undergraduate special subjects
• Information Theory, Gunma University, Apr. 2021, Jul. 2021
• Apr. 2019, Jul. 2021
• Sep. 2018, Mar. 2021
• Apr. 2018, Jul. 2020
• Apr. 2018, Jul. 2019
• Apr. 2013, Mar. 2018

Awards

• Dec. 2019, Others

Social Contribution

Social Contribution

• データのプライバシーと有用性のトレードオフに関する数学的理論, 28 Apr. 2023, 30 Apr. 2023　(Target:　Schoolchildren, Junior high school students, High school students, College students, Graduate students, Teachers, Guardians, Researchers, General, Company, Media)
• 群馬ちびっこ大学2022, 02 Aug. 2022, 22 Aug. 2022, Internet　(Target:　Schoolchildren, Junior high school students, High school students, College students, Graduate students, Teachers, Guardians, General)
• 夢ナビ講義, Apr. 2021, Jul. 2021, Seminar　(Target:　High school students, Guardians)

Academic Contribution

• 2024 International Symposium on Information Theory and Its Applications座長, Competition etc, 10 Nov. 2024, 13 Nov. 2024
• 情報処理学会 論文誌ジャーナル/JIP編集委員会 小委員会 基盤グループ［Computing Group］編集委員, Academic society etc, 01 Jun. 2024, 31 May 2026
• IEEE Information Theory Society Japan Chapter, Secretary, Academic society etc, IEEE, 01 Jan. 2024, 31 Dec. 2025
• 第46回情報理論とその応用シンポジウム　座長, Competition etc, 29 Nov. 2023, 29 Nov. 2023
• 第46回情報理論とその応用シンポジウム（SITA2023） プログラム委員, Competition etc, Apr. 2023, Mar. 2024
• 電子情報通信学会総合大会「情報理論」座長, Competition etc, IEICE, 10 Mar. 2023, 10 Mar. 2023
• 電子情報通信学会 情報理論研究会 会場世話人, Academic society etc, 24 Jan. 2023, 25 Jan. 2023
• 電子情報通信学会『Special Section on Information Theory and Its Applications』編集委員会 編集委員, Peer review etc, IEICE, 21 Nov. 2022, 01 Mar. 2024
• The 2022 IEEE International Symposium on Information Theory (ISIT)セッションチェア, Academic society etc, IEEE, 26 Jun. 2022, 01 Jul. 2022
• 第45回情報理論とその応用シンポジウム（SITA2022） プログラム委員, Competition etc, IEICE, Apr. 2022, Mar. 2023
• The International Symposium on Information Theory and Its Applications 2022 (ISITA 2022) TPC Member, Competition etc, IEICE, Apr. 2022, Mar. 2023
• 第43回情報理論とその応用シンポジウム（SITA2020） プログラム委員, Competition etc, IEICE, Apr. 2020, Mar. 2021
• 電子情報通信学会『Special Section on Information Theory and Its Applications』編集委員会 編集委員, Academic society etc, IEICE, Dec. 2020, Mar. 2022
• 電子情報通信学会 情報理論研究会 研究専門委員, Academic society etc, IEICE, May 2020, 9999
• 第45回情報理論とその応用シンポジウム（SITA2022） 実行委員, Competition etc, IEICE, Aug. 2021, Mar. 2023
• The 2021 IEEE Information Theory Workshop (ITW2021) TPC Member, Academic society etc, IEEE, Apr. 2021, Mar. 2022