Yuta Nakahara

42 papers A 1B 8C 7Journal 26
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Lower Bound for the Number of Linear Regions of Ternary ReLU Regression Neural Networks.
Trans. Mach. Learn. Res.
Yuta Nakahara, Manabu Kobayashi, Toshiyasu Matsushima
2026 J jnl
Probability Distribution on Rooted Trees: Generalization from Full Trees.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci.
Yuta Nakahara, Shota Saito, Akira Kamatsuka, Toshiyasu Matsushima
2026 J jnl
Soft Bayesian Context Tree Models for Real-Valued Time Series.
CoRR
Shota Saito, Yuta Nakahara, Toshiyasu Matsushima
2026 J jnl
Variable Splitting Binary Tree Models Based on Bayesian Context Tree Models for Time Series Segmentation.
CoRR
Yuta Nakahara, Shota Saito, Kohei Horinouchi, Koshi Shimada, Naoki Ichijo, Manabu Kobayashi, Toshiyasu Matsushima
2025 J jnl
A Lower Bound for the Number of Linear Regions of Ternary ReLU Regression Neural Networks.
CoRR
Yuta Nakahara, Manabu Kobayashi, Toshiyasu Matsushima
2025 J jnl
Bayes optimal estimation and its approximation algorithm for difference with and without treatment under IRSLC model.
Int. J. Data Sci. Anal.
Taisuke Ishiwatari, Shota Saito, Yuta Nakahara, Yuji Iikubo, Toshiyasu Matsushima
2025 A conf
Bayesian Decision Theory on Decision Trees: Uncertainty Evaluation and Interpretability.
AISTATS
Yuta Nakahara, Shota Saito, Naoki Ichijo, Koki Kazama, Toshiyasu Matsushima
2024 B conf
An Algorithmic Framework for Constructing Multiple Decision Trees by Evaluating Their Combination Performance Throughout the Construction Process.
SMC
Keito Tajima, Naoki Ichijo, Yuta Nakahara, Koshi Shimada, Toshiyasu Matsushima
2024 J jnl
An Algorithmic Framework for Constructing Multiple Decision Trees by Evaluating Their Combination Performance Throughout the Construction Process.
CoRR
Keito Tajima, Naoki Ichijo, Yuta Nakahara, Toshiyasu Matsushima
2024 J jnl
Batch Updating of a Posterior Tree Distribution Over a Meta-Tree.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci.
Yuta Nakahara, Toshiyasu Matsushima
2024 C conf
Bayesian Decision-Theoretic Prediction with Ensemble of Meta-Trees for Classification Problems.
ISITA
Naoki Ichijo, Ryota Maniwa, Yuta Nakahara, Koshi Shimada, Toshiyasu Matsushima
2024 J jnl
Boosting-Based Sequential Meta-Tree Ensemble Construction for Improved Decision Trees.
CoRR
Ryota Maniwa, Naoki Ichijo, Yuta Nakahara, Toshiyasu Matsushima
2024 C conf
Variational Bayesian Methods for a Tree-Structured Stick-Breaking Process Mixture of Gaussians by Application of the Bayes Codes for Context Tree Models.
ISITA
Yuta Nakahara
2024 J jnl
Variational Bayesian Methods for a Tree-Structured Stick-Breaking Process Mixture of Gaussians.
CoRR
Yuta Nakahara
2023 J jnl
Batch Updating of a Posterior Tree Distribution over a Meta-Tree.
CoRR
Yuta Nakahara, Toshiyasu Matsushima
2023 B conf
Hyperparameter Learning of Bayesian Context Tree Models.
ISIT
Yuta Nakahara, Shota Saito, Koshi Shimada, Toshiyasu Matsushima
2023 J jnl
Prediction Algorithms Achieving Bayesian Decision Theoretical Optimality Based on Decision Trees as Data Observation Processes.
CoRR
Yuta Nakahara, Shota Saito, Naoki Ichijo, Koki Kazama, Toshiyasu Matsushima
2023 B conf
Tree-Structured Gaussian Mixture Models and Their Variational Inference.
SMC
Yuta Nakahara
2022 C conf
Bayes Optimal Estimation and Its Approximation Algorithm for Difference with and without Treatment under URLC Model.
ISITA
Taisuke Ishiwatari, Shota Saito, Yuta Nakahara, Yuji Iikubo, Toshiyasu Matsushima
2022 J jnl
Probability Distribution on Full Rooted Trees.
Entropy
Yuta Nakahara, Shota Saito, Akira Kamatsuka, Toshiyasu Matsushima
2022 B conf
Probability Distribution on Rooted Trees.
ISIT
Yuta Nakahara, Shota Saito, Akira Kamatsuka, Toshiyasu Matsushima
2022 J jnl
Probability Distribution on Rooted Trees.
CoRR
Yuta Nakahara, Shota Saito, Akira Kamatsuka, Toshiyasu Matsushima
2022 J jnl
Stochastic 2D Signal Generative Model with Wavelet Packets Basis Regarded as a Random Variable and Bayes Optimal Processing.
CoRR
Ryohei Oka, Yuta Nakahara, Toshiyasu Matsushima
2022 B conf
Stochastic Model of Block Segmentation Based on Improper Quadtree and Optimal Code under the Bayes Criterion.
DCC
Yuta Nakahara, Toshiyasu Matsushima
2022 J jnl
Stochastic Model of Block Segmentation Based on Improper Quadtree and Optimal Code under the Bayes Criterion.
Entropy
Yuta Nakahara, Toshiyasu Matsushima
2022 J jnl
The Ratio of the Desired Parameters of Deep Neural Networks.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci.
Yasushi Esaki, Yuta Nakahara, Toshiyasu Matsushima
2022 C conf
Two-dimensional Autoregressive Model with Time-varying Parameters and the Bayes Codes.
ISITA
Yuta Nakahara, Toshiyasu Matsushima
2021 J jnl
A Stochastic Model for Block Segmentation of Images Based on the Quadtree and the Bayes Code for It.
CoRR
Yuta Nakahara, Toshiyasu Matsushima
2021 J jnl
A Stochastic Model for Block Segmentation of Images Based on the Quadtree and the Bayes Code for It.
Entropy
Yuta Nakahara, Toshiyasu Matsushima
2021 B conf
Hyperparameter Learning of Stochastic Image Generative Models with Bayesian Hierarchical Modeling and Its Effect on Lossless Image Coding.
ITW
Yuta Nakahara, Toshiyasu Matsushima
2021 J jnl
Meta-Tree Random Forest: Probabilistic Data-Generative Model and Bayes Optimal Prediction.
Entropy
Nao Dobashi, Shota Saito, Yuta Nakahara, Toshiyasu Matsushima
2021 J jnl
Probability Distribution on Full Rooted Trees.
CoRR
Yuta Nakahara, Shota Saito, Akira Kamatsuka, Toshiyasu Matsushima
2020 B conf
A Stochastic Model of Block Segmentation Based on the Quadtree and the Bayes Code for It.
DCC
Yuta Nakahara, Toshiyasu Matsushima
2020 J jnl
Analysis of Decoding Error Probability of Spatially "Mt. Fuji" Coupled LDPC Codes in Waterfall Region of the BEC.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci.
Yuta Nakahara, Toshiyasu Matsushima
2020 C conf
Autoregressive Image Generative Models with Normal and t-distributed Noise and the Bayes Codes for Them.
ISITA
Yuta Nakahara, Toshiyasu Matsushima
2020 C conf
Theoretical Analysis of the Advantage of Deepening Neural Networks.
ICMLA
Yasushi Esaki, Yuta Nakahara, Toshiyasu Matsushima
2020 J jnl
Theoretical Analysis of the Advantage of Deepening Neural Networks.
CoRR
Yasushi Esaki, Yuta Nakahara, Toshiyasu Matsushima
2019 B conf
Covariance Evolution for Spatially "Mt. Fuji" Coupled LDPC Codes.
ITW
Yuta Nakahara, Toshiyasu Matsushima
2019 J jnl
Covariance Evolution for Spatially "Mt. Fuji" Coupled LDPC Codes.
CoRR
Yuta Nakahara, Toshiyasu Matsushima
2018 J jnl
A Note on Weight Distributions of Spatially "Mt. Fuji" Coupled LDPC Codes.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci.
Yuta Nakahara, Toshiyasu Matsushima
2017 J jnl
Spatially "Mt. Fuji" Coupled LDPC Codes.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci.
Yuta Nakahara, Shota Saito, Toshiyasu Matsushima
2016 C conf
Spatially "Mt. Fuji" coupled LDPC codes.
ISITA
Yuta Nakahara, Shota Saito, Toshiyasu Matsushima