| 2026 | ISIT | Soft Bayesian Context Tree Models for Real-Valued Time Series. | Shota Saito, Yuta Nakahara, Toshiyasu Matsushima |
| 2025 | AISTATS | Bayesian Decision Theory on Decision Trees: Uncertainty Evaluation and Interpretability. | Yuta Nakahara, Shota Saito, Naoki Ichijo, Koki Kazama, Toshiyasu Matsushima |
| 2025 | DSAA | A New Framework for Causal Inference Without Missing Data Analysis: Bayes Optimal Treatment Effect Estimation. | Kohei Horinouchi, Shimpei Onishi, Toshiyasu Matsushima |
| 2024 | ISITA | Bayesian Decision-Theoretic Prediction with Ensemble of Meta-Trees for Classification Problems. | Naoki Ichijo, Ryota Maniwa, Yuta Nakahara, Koshi Shimada, Toshiyasu Matsushima |
| 2024 | ISITA | Necessary and Sufficient Conditions for Capacity-Achieving Private Information Retrieval and Its Construction Method. | Atsushi Miki, Yusuke Morishita, Toshiyasu Matsushima |
| 2024 | ISITA | An Efficient Image Segmentation Algorithm Based on Bayes Decision Theory and its Application for Region Detection. | Yilun Wang, Koshi Shimada, Toshiyasu Matsushima |
| 2024 | SMC | An Algorithmic Framework for Constructing Multiple Decision Trees by Evaluating Their Combination Performance Throughout the Construction Process. | Keito Tajima, Naoki Ichijo, Yuta Nakahara, Koshi Shimada, Toshiyasu Matsushima |
| 2023 | ISIT | Hyperparameter Learning of Bayesian Context Tree Models. | Yuta Nakahara, Shota Saito, Koshi Shimada, Toshiyasu Matsushima |
| 2022 | DCC | Stochastic Model of Block Segmentation Based on Improper Quadtree and Optimal Code under the Bayes Criterion. | Yuta Nakahara, Toshiyasu Matsushima |
| 2022 | ISIT | A Generalization of the Stratonovich's Value of Information and Application to Privacy-Utility Trade-off. | Akira Kamatsuka, Takahiro Yoshida, Toshiyasu Matsushima |
| 2022 | ISIT | Probability Distribution on Rooted Trees. | Yuta Nakahara, Shota Saito, Akira Kamatsuka, Toshiyasu Matsushima |
| 2022 | ISITA | 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 |
| 2022 | ISITA | An Algorithm for Computing the Stratonovich's Value of Information. | Akira Kamatsuka, Takahiro Yoshida, Koki Kazama, Toshiyasu Matsushima |
| 2022 | ISITA | A Group-Type Distributed Secure Coded Computation Scheme Based on a Secret Sharing. | Koki Kazama, Toshiyasu Matsushima |
| 2022 | ISITA | A Group-Type Distributed Coded Computation Scheme Based on a Gabidulin Code. | Koki Kazama, Toshiyasu Matsushima |
| 2022 | ISITA | Two-dimensional Autoregressive Model with Time-varying Parameters and the Bayes Codes. | Yuta Nakahara, Toshiyasu Matsushima |
| 2021 | ISIT | Evaluation of Error Probability of Classification Based on the Analysis of the Bayes Code: Extension and Example. | Shota Saito, Toshiyasu Matsushima |
| 2021 | ITW | Privacy-Utility Trade-off with the Stratonovich's Value of Information. | Akira Kamatsuka, Takahiro Yoshida, Toshiyasu Matsushima |
| 2021 | ITW | Hyperparameter Learning of Stochastic Image Generative Models with Bayesian Hierarchical Modeling and Its Effect on Lossless Image Coding. | Yuta Nakahara, Toshiyasu Matsushima |
| 2021 | ITW | 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 |
| 2020 | CISS | A Statistical Decision-Theoretic Approach for Measuring Privacy Risk and Utility in Databases. | Alisa Miyashita, Akira Kamatsuka, Takahiro Yoshida, Toshiyasu Matsushima |
| 2020 | DCC | A Stochastic Model of Block Segmentation Based on the Quadtree and the Bayes Code for It. | Yuta Nakahara, Toshiyasu Matsushima |
| 2020 | ICMLA | Theoretical Analysis of the Advantage of Deepening Neural Networks. | Yasushi Esaki, Yuta Nakahara, Toshiyasu Matsushima |
| 2020 | ISIT | Evaluation of Error Probability of Classification Based on the Analysis of the Bayes Code. | Shota Saito, Toshiyasu Matsushima |
| 2020 | ISITA | A Note on a Relationship between Smooth Locally Decodable Codes and Private Information Retrieval. | Koki Kazama, Akira Kamatsuka, Takahiro Yoshida, Toshiyasu Matsushima |
| 2020 | ISITA | Autoregressive Image Generative Models with Normal and t-distributed Noise and the Bayes Codes for Them. | Yuta Nakahara, Toshiyasu Matsushima |
| 2020 | ISITA | On Two Information Quantities Relating Two Distortion Balls. | Shota Saito, Toshiyasu Matsushima |
| 2019 | ISIT | Distributed Stochastic Gradient Descent Using LDGM Codes. | Shunsuke Horii, Takahiro Yoshida, Manabu Kobayashi, Toshiyasu Matsushima |
| 2019 | ISIT | Non-Asymptotic Fundamental Limits of Guessing Subject to Distortion. | Shota Saito, Toshiyasu Matsushima |
| 2019 | ITW | Covariance Evolution for Spatially "Mt. Fuji" Coupled LDPC Codes. | Yuta Nakahara, Toshiyasu Matsushima |
| 2019 | SMC | Model Selection of Bayesian Hierarchical Mixture of Experts based on Variational Inference. | Yuji Iikubo, Shunsuke Horii, Toshiyasu Matsushima |
| 2019 | SMC | Reducing the Computational and Communication Complexity of a Distributed Optimization for Regularized Logistic Regression. | Nozomi Miya, Hideyuki Masui, Hajime Jinushi, Toshiyasu Matsushima |
| 2018 | ISIT | Cumulant Generating Function of Codeword Lengths in Variable-Length Lossy Compression Allowing Positive Excess Distortion Probability. | Shota Saito, Toshiyasu Matsushima |
| 2018 | ISITA | Sparse Bayesian Hierarchical Mixture of Experts and Variational Inference. | Yuji Iikubo, Shunsuke Horii, Toshiyasu Matsushima |
| 2018 | ISITA | New Results on Variable-Length Lossy Compression Allowing Positive Overflow and Excess Distortion Probabilities. | Shota Saito, Hideki Yagi, Toshiyasu Matsushima |
| 2018 | ISITA | Variable-Length Intrinsic Randomness Allowing Positive Value of the Average Variational Distance. | Jun Yoshizawa, Shota Saito, Toshiyasu Matsushima |
| 2018 | SMC | Linear Programming Bounds for Multi-level Unequal Protection Codes. | Tomohiko Saito, Toshiyasu Matsushima, Shigeichi Hirasawa |
| 2017 | ICMLA | Collaborative Filtering Based on the Latent Class Model for Attributes. | Manabu Kobayashi, Kenta Mikawa, Masayuki Goto, Toshiyasu Matsushima, Shigeichi Hirasawa |
| 2017 | ISIT | Variable-length lossy compression allowing positive overflow and excess distortion probabilities. | Shota Saito, Hideki Yagi, Toshiyasu Matsushima |
| 2016 | ISIT | Linear programming decoding of binary linear codes for symbol-pair read channels. | Shunsuke Horii, Toshiyasu Matsushima, Shigeichi Hirasawa |
| 2016 | ISITA | A note on support recovery of sparse signals using linear programming. | Shunsuke Horii, Toshiyasu Matsushima, Shigeichi Hirasawa |
| 2016 | ISITA | Regenerating codes with generalized conditions of reconstruction and regeneration. | Akira Kamatsuka, Yuta Azuma, Takahiro Yoshida, Toshiyasu Matsushima |
| 2016 | ISITA | A maximum likelihood decoding algorithm of Gabidulin codes in deterministic network coding. | Koki Kazama, Akira Kamatsuka, Toshiyasu Matsushima |
| 2016 | ISITA | Theoretical limit of type-I hybrid selective-repeat ARQ with finite receiver buffer. | Yasunari Maeda, Toshiyasu Matsushima |
| 2016 | ISITA | Spatially "Mt. Fuji" coupled LDPC codes. | Yuta Nakahara, Shota Saito, Toshiyasu Matsushima |
| 2016 | ISITA | A note on unequal error protection in random network coding. | Tomohiko Saito, Koki Kazama, Toshihiro Niinomi, Toshiyasu Matsushima |
| 2016 | ISITA | Evaluation of overflow probability of Bayes code in moderate deviation regime. | Shota Saito, Toshiyasu Matsushima |
| 2016 | ISITA | Threshold of overflow probability in terms of smooth max-entropy for variable-length compression allowing errors. | Shota Saito, Toshiyasu Matsushima |
| 2016 | ISITA | Relationships between correlation of information stored on nodes and coding efficiency for cooperative regenerating codes. | Takahiro Yoshida, Toshiyasu Matsushima |
| 2015 | ISIT | Fundamental limit and pointwise asymptotics of the Bayes code for Markov sources. | Shota Saito, Nozomi Miya, Toshiyasu Matsushima |
| 2014 | ISITA | Evaluation of the minimum overflow threshold of bayes codes for a Markov source. | Shota Saito, Nozomi Miya, Toshiyasu Matsushima |
| 2014 | SMC | A note on the correlated multiple matrix completion based on the convex optimization method. | Shunsuke Horii, Toshiyasu Matsushima, Shigeichi Hirasawa |
| 2014 | SMC | Robustness of syndrome analysis method in highly structured fault-diagnosis systems. | Manabu Kobayashi, Masayuki Goto, Toshiyasu Matsushima, Shigeichi Hirasawa |
| 2012 | ISIT | Information spectrum approach to overflow probability of variable-length codes with conditional cost function. | Ryo Nomura, Toshiyasu Matsushima |
| 2012 | ISITA | Fault diagnosis algorithm in multi-computer systems based on Lagrangian relaxation method. | Shunsuke Horii, Manabu Kobayashi, Toshiyasu Matsushima, Shigeichi Hirasawa |
| 2012 | ISITA | The optimal key estimation of stream ciphers and its approximation algorithm based on a probabilistic inference. | Yuji Iikubo, Shunsuke Horii, Toshiyasu Matsushima |
| 2012 | ISITA | An error probability estimation of the document classification using Markov model. | Manabu Kobayashi, Hiroshi Ninomiya, Toshiyasu Matsushima, Shigeichi Hirasawa |
| 2012 | ISITA | Asymptotics of Bayesian estimation for nested models under misspecification. | Nozomi Miya, Tota Suko, Goki Yasuda, Toshiyasu Matsushima |
| 2012 | SMC | A note on ANOVA in an experimental design model based on an orthonormal system. | Yoshifumi Ukita, Toshiyasu Matsushima, Shigeichi Hirasawa |
| 2011 | SMC | System evaluation of disk allocation methods for Cartesian product files by using error correcting codes. | Shigeichi Hirasawa, Tomohiko Saito, Hiroshige Inazumi, Toshiyasu Matsushima |
| 2011 | SMC | Probabilistic fault diagnosis and its analysis in multicomputer systems. | Manabu Kobayashi, Toshinori Takabatake, Toshiyasu Matsushima, Shigeichi Hirasawa |
| 2011 | SMC | Disk allocation methods for Cartesian product files using unequal error protection codes. | Tomohiko Saito, Hiroshige Inazumi, Toshiyasu Matsushima, Shigeichi Hirasawa |
| 2011 | SMC | A note on the degrees of freedom in an experimental design model based on an orthonormal system. | Yoshifumi Ukita, Toshiyasu Matsushima, Shigeichi Hirasawa |
| 2010 | DCC | On the Overflow Probability of Fixed-to-Variable Length Codes with Side Information. | Ryo Nomura, Toshiyasu Matsushima |
| 2010 | ISIT | On the overflow probability of lossless codes with side information. | Ryo Nomura, Toshiyasu Matsushima |
| 2010 | ISIT | Toward computing the capacity region of degraded broadcast channel. | Kensuke Yasui, Toshiyasu Matsushima |
| 2009 | ISIT | Reducing the space complexity of a Bayes coding algorithm using an expanded context tree. | Toshiyasu Matsushima, Shigeichi Hirasawa |
| 2009 | PDPTA | Bayesian Forecasting of WWW Traffic on the Time Varying Poisson Model. | Daiki Koizumi, Toshiyasu Matsushima, Shigeichi Hirasawa |
| 2009 | SMC | A Note on the Relation between a Sampling Theorem for Functions over a GF (q)n Domain and Linear Codes. | Yoshifumi Ukita, Tomohiko Saito, Toshiyasu Matsushima, Shigeichi Hirasawa |
| 2008 | ITW | Error control codes for parallel channel with correlated errors. | Hideki Yagi, Toshiyasu Matsushima, Shigeichi Hirasawa |
| 2007 | FSE | New Bounds for PMAC, TMAC, and XCBC. | Kazuhiko Minematsu, Toshiyasu Matsushima |
| 2007 | INDOCRYPT | Tweakable Enciphering Schemes from Hash-Sum-Expansion. | Kazuhiko Minematsu, Toshiyasu Matsushima |
| 2007 | ISIT | A Note on Error Correction Schemes using LDPC codes with a High-Capacity Feedback Channel. | Naoto Kobayashi, Toshiyasu Matsushima, Shigeichi Hirasawa |
| 2007 | ISIT | On the -overflow probability of lossless codes. | Ryo Nomura, Toshiyasu Matsushima, Shigeichi Hirasawa |
| 2007 | ISIT | An Algorithm for Computing the Secrecy Capacity of Broadcast Channels with Confidential Messages. | Kensuke Yasui, Tota Suko, Toshiyasu Matsushima |
| 2007 | SMC | Improved collusion-secure codes for digital fingerprinting based on finite geometries. | Hideki Yagi, Toshiyasu Matsushima, Shigeichi Hirasawa |
| 2006 | WISA | New Traceability Codes Against a Generalized Collusion Attack for Digital Fingerprinting. | Hideki Yagi, Toshiyasu Matsushima, Shigeichi Hirasawa |
| 2005 | ISIT | Bayes universal coding algorithm for side information context tree models. | Toshiyasu Matsushima, Shigeichi Hirasawa |
| 2005 | ITW | A note on a decoding algorithm of codes on graphs with small loops. | Naoto Kobayashi, Toshiyasu Matsushima, Shigeichi Hirasawa |
| 1999 | ICTAI | On a Deductive Reasoning Model and Method for Uncertainty. | Makoto Suzuki, Toshiyasu Matsushima, Shigeichi Hirasawa |