| 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 |
| 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 | Variational Bayesian Methods for a Tree-Structured Stick-Breaking Process Mixture of Gaussians by Application of the Bayes Codes for Context Tree Models. | Yuta Nakahara |
| 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 |
| 2023 | SMC | Tree-Structured Gaussian Mixture Models and Their Variational Inference. | Yuta Nakahara |
| 2022 | DCC | Stochastic Model of Block Segmentation Based on Improper Quadtree and Optimal Code under the Bayes Criterion. | Yuta Nakahara, 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 | Two-dimensional Autoregressive Model with Time-varying Parameters and the Bayes Codes. | Yuta Nakahara, 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 |
| 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 | ISITA | Autoregressive Image Generative Models with Normal and t-distributed Noise and the Bayes Codes for Them. | Yuta Nakahara, Toshiyasu Matsushima |
| 2019 | ITW | Covariance Evolution for Spatially "Mt. Fuji" Coupled LDPC Codes. | Yuta Nakahara, Toshiyasu Matsushima |
| 2016 | ISITA | Spatially "Mt. Fuji" coupled LDPC codes. | Yuta Nakahara, Shota Saito, Toshiyasu Matsushima |