Shota Saito

95 papers A* 5A 6B 13C 9Journal 50Unranked 12
YearRankTypeTitle / Venue / Authors
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 Composition Theorem via
IEICE Trans. Fundam. Electron. Commun. Comput. Sci.
Shota Saito, Koji Chida, Osamu Takaki
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
2025 A conf
CatCMA with Margin: Stochastic Optimization for Continuous, Integer, and Categorical Variables.
GECCO
Ryoki Hamano, Masahiro Nomura, Shota Saito, Kento Uchida, Shinichi Shirakawa
2025 J jnl
CatCMA with Margin: Stochastic Optimization for Continuous, Integer, and Categorical Variables.
CoRR
Ryoki Hamano, Masahiro Nomura, Shota Saito, Kento Uchida, Shinichi Shirakawa
2025 J jnl
Soft Guessing Under Logarithmic Loss Allowing Errors and Variable-Length Source Coding.
CoRR
Shota Saito, Hamdi Joudeh
2024 J jnl
An Efficient Bayes Coding Algorithm for Changing Context Tree Model.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci.
Koshi Shimada, Shota Saito, Toshiyasu Matsushima
2024 C conf
An Upper Bound of Cumulant Generating Function of Codeword Lengths in Variable-Length Lossy Source Coding Under Logarithmic Loss.
ISITA
Shota Saito
2024 A* conf
Bandits with Abstention under Expert Advice.
NeurIPS
Stephen Pasteris, Alberto Rumi, Maximilian Thiessen, Shota Saito, Atsushi Miyauchi, Fabio Vitale, Mark Herbster
2024 J jnl
Bandits with Abstention under Expert Advice.
CoRR
Stephen Pasteris, Alberto Rumi, Maximilian Thiessen, Shota Saito, Atsushi Miyauchi, Fabio Vitale, Mark Herbster
2024 — conf
CMA-ES for Discrete and Mixed-Variable Optimization on Sets of Points.
PPSN (2)
Kento Uchida, Ryoki Hamano, Masahiro Nomura, Shota Saito, Shinichi Shirakawa
2024 J jnl
CMA-ES for Discrete and Mixed-Variable Optimization on Sets of Points.
CoRR
Kento Uchida, Ryoki Hamano, Masahiro Nomura, Shota Saito, Shinichi Shirakawa
2024 A conf
CMA-ES for Safe Optimization.
GECCO
Kento Uchida, Ryoki Hamano, Masahiro Nomura, Shota Saito, Shinichi Shirakawa
2024 J jnl
CMA-ES for Safe Optimization.
CoRR
Kento Uchida, Ryoki Hamano, Masahiro Nomura, Shota Saito, Shinichi Shirakawa
2024 A conf
CatCMA : Stochastic Optimization for Mixed-Category Problems.
GECCO
Ryoki Hamano, Shota Saito, Masahiro Nomura, Kento Uchida, Shinichi Shirakawa
2024 J jnl
CatCMA : Stochastic Optimization for Mixed-Category Problems.
CoRR
Ryoki Hamano, Shota Saito, Masahiro Nomura, Kento Uchida, Shinichi Shirakawa
2024 — conf
Enhancing Latency-Accuracy Tradeoff in Dynamic Split Inference via Vector Quantized Bottleneck.
GLOBECOM (Workshops)
Yen-Hsiu Chen, Yoichi Hirose, Shoma Shimizu, Shota Saito, Kento Uchida, Shinichi Shirakawa, Takayuki Nishio
2024 J jnl
HACNet: End-to-end learning of interpretable table-to-image converter and convolutional neural network.
Knowl. Based Syst.
Takuya Matsuda, Kento Uchida, Shota Saito, Shinichi Shirakawa
2024 J jnl
Marginal Probability-Based Integer Handling for CMA-ES Tackling Single- and Multi-Objective Mixed-Integer Black-Box Optimization.
ACM Trans. Evol. Learn. Optim.
Ryoki Hamano, Shota Saito, Masahiro Nomura, Shinichi Shirakawa
2024 J jnl
Meta-Bound on Lower Bounds of Bayes Risk in Parameter Estimation.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci.
Shota Saito
2024 B conf
Soft Guessing Under Log-Loss Distortion Allowing Errors.
ISIT
Shota Saito
2023 A conf
(1+1)-CMA-ES with Margin for Discrete and Mixed-Integer Problems.
GECCO
Yohei Watanabe, Kento Uchida, Ryoki Hamano, Shota Saito, Masahiro Nomura, Shinichi Shirakawa
2023 J jnl
(1+1)-CMA-ES with Margin for Discrete and Mixed-Integer Problems.
CoRR
Yohei Watanabe, Kento Uchida, Ryoki Hamano, Shota Saito, Masahiro Nomura, Shinichi Shirakawa
2023 B conf
Discovery of Contrast Itemset with Statistical Background Between Two Continuous Variables.
DaWaK
Kaoru Shimada, Shogo Matsuno, Shota Saito
2023 J jnl
Generalizing p-Laplacian: spectral hypergraph theory and a partitioning algorithm.
Mach. Learn.
Shota Saito, Mark Herbster
2023 B conf
Hyperparameter Learning of Bayesian Context Tree Models.
ISIT
Yuta Nakahara, Shota Saito, Koshi Shimada, Toshiyasu Matsushima
2023 A* conf
Multi-class Graph Clustering via Approximated Effective p-Resistance.
ICML
Shota Saito, Mark Herbster
2023 J jnl
Multi-class Graph Clustering via Approximated Effective p-Resistance.
CoRR
Shota Saito, Mark Herbster
2023 J jnl
Non-Asymptotic Bounds of Cumulant Generating Function of Codeword Lengths in Variable-Length Lossy Compression.
IEEE Trans. Inf. Theory
Shota Saito, 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 J jnl
Soft Guessing Under Log-Loss Distortion Allowing Errors.
CoRR
Shota Saito
2023 — conf
Surrogate-Assisted (1+1)-CMA-ES with Switching Mechanism of Utility Functions.
EvoApplications@EvoStar
Yutaro Yamada, Kento Uchida, Shota Saito, Shinichi Shirakawa
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 — conf
Benchmarking CMA-ES with margin on the bbob-mixint testbed.
GECCO Companion
Ryoki Hamano, Shota Saito, Masahiro Nomura, Shinichi Shirakawa
2022 J jnl
CMA-ES with Margin for Single-and Multi-Objective Mixed-Integer Black-Box Optimization.
CoRR
Ryoki Hamano, Shota Saito, Masahiro Nomura, Shinichi Shirakawa
2022 J jnl
CMA-ES with Margin: Lower-Bounding Marginal Probability for Mixed-Integer Black-Box Optimization.
CoRR
Ryoki Hamano, Shota Saito, Masahiro Nomura, Shinichi Shirakawa
2022 A conf
CMA-ES with margin: lower-bounding marginal probability for mixed-integer black-box optimization.
GECCO
Ryoki Hamano, Shota Saito, Masahiro Nomura, Shinichi Shirakawa
2022 — conf
Efficient Search of Multiple Neural Architectures with Different Complexities via Importance Sampling.
ICANN (4)
Yuhei Noda, Shota Saito, Shinichi Shirakawa
2022 J jnl
Efficient Search of Multiple Neural Architectures with Different Complexities via Importance Sampling.
CoRR
Yuhei Noda, Shota Saito, Shinichi Shirakawa
2022 A* conf
Hypergraph Modeling via Spectral Embedding Connection: Hypergraph Cut, Weighted Kernel k-Means, and Heat Kernel.
AAAI
Shota Saito
2022 J jnl
Hypergraph Modeling via Spectral Embedding Connection: Hypergraph Cut, Weighted Kernel k-means, and Heat Kernel.
CoRR
Shota Saito
2022 — conf
Neural Architecture Search for Improving Latency-Accuracy Trade-off in Split Computing.
GLOBECOM (Workshops)
Shoma Shimizu, Takayuki Nishio, Shota Saito, Yoichi Hirose, Yen-Hsiu Chen, Shinichi Shirakawa
2022 J jnl
Neural Architecture Search for Improving Latency-Accuracy Trade-off in Split Computing.
CoRR
Shoma Shimizu, Takayuki Nishio, Shota Saito, Yoichi Hirose, Yen-Hsiu Chen, Shinichi Shirakawa
2022 B conf
On Meta-Bound for Lower Bounds of Bayes Risk.
ISIT
Shota Saito
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
Upper Bound on Privacy-Utility Tradeoff Allowing Positive Excess Distortion Probability.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci.
Shota Saito, Toshiyasu Matsushima
2021 B conf
An Efficient Bayes Coding Algorithm for the Non-Stationary Source in Which Context Tree Model Varies from Interval to Interval.
ITW
Koshi Shimada, Shota Saito, Toshiyasu Matsushima
2021 J jnl
An Efficient Bayes Coding Algorithm for the Non-Stationary Source in Which Context Tree Model Varies from Interval to Interval.
CoRR
Koshi Shimada, Shota Saito, Toshiyasu Matsushima
2021 B conf
Evaluation of Error Probability of Classification Based on the Analysis of the Bayes Code: Extension and Example.
ISIT
Shota Saito, 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
Evaluation of Error Probability of Classification Based on the Analysis of the Bayes Code.
ISIT
Shota Saito, Toshiyasu Matsushima
2020 C conf
On Two Information Quantities Relating Two Distortion Balls.
ISITA
Shota Saito, Toshiyasu Matsushima
2019 A* conf
Adaptive Stochastic Natural Gradient Method for One-Shot Neural Architecture Search.
ICML
Youhei Akimoto, Shinichi Shirakawa, Nozomu Yoshinari, Kento Uchida, Shota Saito, Kouhei Nishida
2019 J jnl
Adaptive Stochastic Natural Gradient Method for One-Shot Neural Architecture Search.
CoRR
Youhei Akimoto, Shinichi Shirakawa, Nozomu Yoshinari, Kento Uchida, Shota Saito, Kouhei Nishida
2019 — conf
Controlling Model Complexity in Probabilistic Model-Based Dynamic Optimization of Neural Network Structures.
ICANN (2)
Shota Saito, Shinichi Shirakawa
2019 J jnl
Controlling Model Complexity in Probabilistic Model-Based Dynamic Optimization of Neural Network Structures.
CoRR
Shota Saito, Shinichi Shirakawa
2019 J jnl
Evaluation of Error Probability of Classification Based on the Analysis of the Bayes Code.
CoRR
Shota Saito, Toshiyasu Matsushima
2019 — conf
Joint Optimization of Convolutional Neural Network and Image Preprocessing Selection for Embryo Grade Prediction in In Vitro Fertilization.
ISVC (2)
Kento Uchida, Shota Saito, Panca Dewi Pamungkasari, Yusei Kawai, Ita Fauzia Hanoum, Filbert H. Juwono, Shinichi Shirakawa
2019 B conf
Non-Asymptotic Fundamental Limits of Guessing Subject to Distortion.
ISIT
Shota Saito, Toshiyasu Matsushima
2019 — conf
Optimization of H0 Photonic Crystal Nanocavity using Neural Network.
OECC/PSC
Ryotaro Abe, Taichi Takeda, Ryo Shiratori, Shinichi Shirakawa, Shota Saito, Toshihiko Baba
2019 J jnl
Variable-Length Intrinsic Randomness on Two Performance Criteria Based on Variational Distance.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci.
Jun Yoshizawa, Shota Saito, Toshiyasu Matsushima
2018 — conf
Bayesian Independent Component Analysis under Hierarchical Model on Independent Components.
APSIPA
Kai Asaba, Shota Saito, Shunsuke Horii, Toshiyasu Matsushima
2018 B conf
Cumulant Generating Function of Codeword Lengths in Variable-Length Lossy Compression Allowing Positive Excess Distortion Probability.
ISIT
Shota Saito, Toshiyasu Matsushima
2018 J jnl
Cumulant Generating Function of Codeword Lengths in Variable-Length Lossy Compression Allowing Positive Excess Distortion Probability.
CoRR
Shota Saito, Toshiyasu Matsushima
2018 — conf
Embedded feature selection using probabilistic model-based optimization.
GECCO (Companion)
Shota Saito, Shinichi Shirakawa, Youhei Akimoto
2018 A* conf
Hypergraph p-Laplacian: A Differential Geometry View.
AAAI
Shota Saito, Danilo P. Mandic, Hideyuki Suzuki
2018 C conf
New Results on Variable-Length Lossy Compression Allowing Positive Overflow and Excess Distortion Probabilities.
ISITA
Shota Saito, Hideki Yagi, Toshiyasu Matsushima
2018 J jnl
Non-Asymptotic and Asymptotic Fundamental Limits of Guessing Subject to Distortion.
CoRR
Shota Saito, Toshiyasu Matsushima
2018 J jnl
Parameterless Stochastic Natural Gradient Method for Discrete Optimization and its Application to Hyper-Parameter Optimization for Neural Network.
CoRR
Kouhei Nishida, Hernán E. Aguirre, Shota Saito, Shinichi Shirakawa, Youhei Akimoto
2018 C conf
Variable-Length Intrinsic Randomness Allowing Positive Value of the Average Variational Distance.
ISITA
Jun Yoshizawa, Shota Saito, Toshiyasu Matsushima
2018 J jnl
Variable-Length Intrinsic Randomness Allowing Positive Value of the Average Variational Distance.
CoRR
Jun Yoshizawa, Shota Saito, Toshiyasu Matsushima
2017 J jnl
A Theoretical Framework for Estimating False Acceptance Rate of PRNU-Based Camera Identification.
IEEE Trans. Inf. Forensics Secur.
Shota Saito, Yoichi Tomioka, Hitoshi Kitazawa
2017 J jnl
Detecting Motor Learning-Related fNIRS Activity by Applying Removal of Systemic Interferences.
IEICE Trans. Inf. Syst.
Isao Nambu, Takahiro Imai, Shota Saito, Takanori Sato, Yasuhiro Wada
2017 J jnl
Evaluation of Overflow Probability of Bayes Code in Moderate Deviation Regime.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci.
Shota Saito, Toshiyasu Matsushima
2017 J jnl
Hypergraph p-Laplacian: A Differential Geometry View.
CoRR
Shota Saito, Danilo P. Mandic, Hideyuki Suzuki
2017 J jnl
Spatially "Mt. Fuji" Coupled LDPC Codes.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci.
Yuta Nakahara, Shota Saito, Toshiyasu Matsushima
2017 J jnl
Variable-Length Lossy Compression Allowing Positive Overflow and Excess Distortion Probabilities.
CoRR
Shota Saito, Hideki Yagi, Toshiyasu Matsushima
2017 B conf
Variable-length lossy compression allowing positive overflow and excess distortion probabilities.
ISIT
Shota Saito, Hideki Yagi, Toshiyasu Matsushima
2016 C conf
Evaluation of overflow probability of Bayes code in moderate deviation regime.
ISITA
Shota Saito, Toshiyasu Matsushima
2016 J jnl
Second-Order Achievable Rate Region of Slepian-Wolf Coding Problem in terms of Smooth Max-Entropy for General Sources.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci.
Shota Saito, Toshiyasu Matsushima
2016 C conf
Spatially "Mt. Fuji" coupled LDPC codes.
ISITA
Yuta Nakahara, Shota Saito, Toshiyasu Matsushima
2016 J jnl
Threshold of Overflow Probability Using Smooth Max-Entropy in Lossless Fixed-to-Variable Length Source Coding for General Sources.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci.
Shota Saito, Toshiyasu Matsushima
2016 C conf
Threshold of overflow probability in terms of smooth max-entropy for variable-length compression allowing errors.
ISITA
Shota Saito, Toshiyasu Matsushima
2015 J jnl
Early detection of persistent topics in social networks.
Soc. Netw. Anal. Min.
Shota Saito, Ryota Tomioka, Kenji Yamanishi
2015 J jnl
Evaluation of the Bayes Code from Viewpoints of the Distribution of Its Codeword Lengths.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci.
Shota Saito, Nozomi Miya, Toshiyasu Matsushima
2015 B conf
Fundamental limit and pointwise asymptotics of the Bayes code for Markov sources.
ISIT
Shota Saito, Nozomi Miya, Toshiyasu Matsushima
2014 B conf
Early detection of persistent topics in social networks.
ASONAM
Shota Saito, Ryota Tomioka, Kenji Yamanishi
2014 C conf
Evaluation of the minimum overflow threshold of bayes codes for a Markov source.
ISITA
Shota Saito, Nozomi Miya, Toshiyasu Matsushima
2012 — conf
Simple analog motion detection circuit using CCD camera based on the biological vision system.
ISCIT
Kimihiro Nishio, Yasushi Arimune, Shota Saito