Simple analog motion detection circuit using CCD camera based on the biological vision system. - Kimihiro Nishio; Yasushi Arimune; Shota Saito (ISCIT, 2012)

Evaluation of the minimum overflow threshold of bayes codes for a Markov source. - Shota Saito; Nozomi Miya; Toshiyasu Matsushima (ISITA, 2014)

Fundamental limit and pointwise asymptotics of the Bayes code for Markov sources. - Shota Saito; Nozomi Miya; Toshiyasu Matsushima (ISIT, 2015)

Evaluation of the Bayes Code from Viewpoints of the Distribution of Its Codeword Lengths. - Shota Saito; Nozomi Miya; Toshiyasu Matsushima (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2015)

Early detection of persistent topics in social networks. - Shota Saito; Ryota Tomioka; Kenji Yamanishi (Soc. Netw. Anal. Min., 2015)

Threshold of overflow probability in terms of smooth max-entropy for variable-length compression allowing errors. - Shota Saito; Toshiyasu Matsushima (ISITA, 2016)

Second-Order Achievable Rate Region of Slepian-Wolf Coding Problem in terms of Smooth Max-Entropy for General Sources. - Shota Saito; Toshiyasu Matsushima (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2016)

Threshold of Overflow Probability Using Smooth Max-Entropy in Lossless Fixed-to-Variable Length Source Coding for General Sources. - Shota Saito; Toshiyasu Matsushima (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2016)

Variable-length lossy compression allowing positive overflow and excess distortion probabilities. - Shota Saito; Hideki Yagi; Toshiyasu Matsushima (ISIT, 2017)

Spatially "Mt. Fuji" Coupled LDPC Codes. - Yuta Nakahara; Shota Saito; Toshiyasu Matsushima (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2017)

Detecting Motor Learning-Related fNIRS Activity by Applying Removal of Systemic Interferences. - Isao Nambu; Takahiro Imai; Shota Saito; Takanori Sato; Yasuhiro Wada (IEICE Trans. Inf. Syst., 2017)

Evaluation of Overflow Probability of Bayes Code in Moderate Deviation Regime. - Shota Saito; Toshiyasu Matsushima (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2017)

A Theoretical Framework for Estimating False Acceptance Rate of PRNU-Based Camera Identification. - Shota Saito; Yoichi Tomioka; Hitoshi Kitazawa (IEEE Trans. Inf. Forensics Secur., 2017)

Hypergraph p-Laplacian: A Differential Geometry View. - Shota Saito; Danilo P. Mandic; Hideyuki Suzuki (AAAI, 2018)

Bayesian Independent Component Analysis under Hierarchical Model on Independent Components. - Kai Asaba; Shota Saito; Shunsuke Horii; Toshiyasu Matsushima (APSIPA, 2018)

Embedded feature selection using probabilistic model-based optimization. - Shota Saito; Shinichi Shirakawa; Youhei Akimoto (GECCO (Companion), 2018)

Cumulant Generating Function of Codeword Lengths in Variable-Length Lossy Compression Allowing Positive Excess Distortion Probability. - Shota Saito; Toshiyasu Matsushima (ISIT, 2018)

New Results on Variable-Length Lossy Compression Allowing Positive Overflow and Excess Distortion Probabilities. - Shota Saito; Hideki Yagi; Toshiyasu Matsushima (ISITA, 2018)

Variable-Length Intrinsic Randomness Allowing Positive Value of the Average Variational Distance. - Jun Yoshizawa; Shota Saito; Toshiyasu Matsushima (ISITA, 2018)

Non-Asymptotic and Asymptotic Fundamental Limits of Guessing Subject to Distortion. - Shota Saito; Toshiyasu Matsushima (CoRR, 2018)

Parameterless Stochastic Natural Gradient Method for Discrete Optimization and its Application to Hyper-Parameter Optimization for Neural Network. - Kouhei Nishida; Hernán E. Aguirre; Shota Saito; Shinichi Shirakawa; Youhei Akimoto (CoRR, 2018)

Controlling Model Complexity in Probabilistic Model-Based Dynamic Optimization of Neural Network Structures. - Shota Saito; Shinichi Shirakawa (ICANN (2), 2019)

Adaptive Stochastic Natural Gradient Method for One-Shot Neural Architecture Search. - Youhei Akimoto; Shinichi Shirakawa; Nozomu Yoshinari; Kento Uchida; Shota Saito; Kouhei Nishida (ICML, 2019)

Non-Asymptotic Fundamental Limits of Guessing Subject to Distortion. - Shota Saito; Toshiyasu Matsushima (ISIT, 2019)

Joint Optimization of Convolutional Neural Network and Image Preprocessing Selection for Embryo Grade Prediction in In Vitro Fertilization. - Kento Uchida; Shota Saito; Panca Dewi Pamungkasari; Yusei Kawai; Ita Fauzia Hanoum; Filbert H. Juwono; Shinichi Shirakawa (ISVC (2), 2019)

Optimization of H0 Photonic Crystal Nanocavity using Neural Network. - Ryotaro Abe; Taichi Takeda; Ryo Shiratori; Shinichi Shirakawa; Shota Saito; Toshihiko Baba (OECC/PSC, 2019)

Variable-Length Intrinsic Randomness on Two Performance Criteria Based on Variational Distance. - Jun Yoshizawa; Shota Saito; Toshiyasu Matsushima (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2019)

Evaluation of Error Probability of Classification Based on the Analysis of the Bayes Code. - Shota Saito; Toshiyasu Matsushima (ISIT, 2020)

On Two Information Quantities Relating Two Distortion Balls. - Shota Saito; Toshiyasu Matsushima (ISITA, 2020)

Evaluation of Error Probability of Classification Based on the Analysis of the Bayes Code: Extension and Example. - Shota Saito; Toshiyasu Matsushima (ISIT, 2021)

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 (ITW, 2021)

Meta-Tree Random Forest: Probabilistic Data-Generative Model and Bayes Optimal Prediction. - Nao Dobashi; Shota Saito; Yuta Nakahara; Toshiyasu Matsushima (Entropy, 2021)

Hypergraph Modeling via Spectral Embedding Connection: Hypergraph Cut, Weighted Kernel k-Means, and Heat Kernel. - Shota Saito (AAAI, 2022)

CMA-ES with margin: lower-bounding marginal probability for mixed-integer black-box optimization. - Ryoki Hamano; Shota Saito; Masahiro Nomura; Shinichi Shirakawa (GECCO, 2022)

Benchmarking CMA-ES with margin on the bbob-mixint testbed. - Ryoki Hamano; Shota Saito; Masahiro Nomura; Shinichi Shirakawa (GECCO Companion, 2022)

Neural Architecture Search for Improving Latency-Accuracy Trade-off in Split Computing. - Shoma Shimizu; Takayuki Nishio; Shota Saito; Yoichi Hirose; Yen-Hsiu Chen; Shinichi Shirakawa (GLOBECOM (Workshops), 2022)

Efficient Search of Multiple Neural Architectures with Different Complexities via Importance Sampling. - Yuhei Noda; Shota Saito; Shinichi Shirakawa (ICANN (4), 2022)

Probability Distribution on Rooted Trees. - Yuta Nakahara; Shota Saito; Akira Kamatsuka; Toshiyasu Matsushima (ISIT, 2022)

On Meta-Bound for Lower Bounds of Bayes Risk. - Shota Saito (ISIT, 2022)

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 (ISITA, 2022)

CMA-ES with Margin for Single-and Multi-Objective Mixed-Integer Black-Box Optimization. - Ryoki Hamano; Shota Saito; Masahiro Nomura; Shinichi Shirakawa (CoRR, 2022)

Probability Distribution on Full Rooted Trees. - Yuta Nakahara; Shota Saito; Akira Kamatsuka; Toshiyasu Matsushima (Entropy, 2022)

Upper Bound on Privacy-Utility Tradeoff Allowing Positive Excess Distortion Probability. - Shota Saito; Toshiyasu Matsushima (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2022)

Discovery of Contrast Itemset with Statistical Background Between Two Continuous Variables. - Kaoru Shimada; Shogo Matsuno; Shota Saito (DaWaK, 2023)

Surrogate-Assisted (1+1)-CMA-ES with Switching Mechanism of Utility Functions. - Yutaro Yamada; Kento Uchida; Shota Saito; Shinichi Shirakawa (EvoApplications@EvoStar, 2023)

(1+1)-CMA-ES with Margin for Discrete and Mixed-Integer Problems. - Yohei Watanabe 004; Kento Uchida; Ryoki Hamano; Shota Saito; Masahiro Nomura; Shinichi Shirakawa (GECCO, 2023)

Multi-class Graph Clustering via Approximated Effective p-Resistance. - Shota Saito; Mark Herbster (ICML, 2023)

Hyperparameter Learning of Bayesian Context Tree Models. - Yuta Nakahara; Shota Saito; Koshi Shimada; Toshiyasu Matsushima (ISIT, 2023)

Prediction Algorithms Achieving Bayesian Decision Theoretical Optimality Based on Decision Trees as Data Observation Processes. - Yuta Nakahara; Shota Saito; Naoki Ichijo; Koki Kazama; Toshiyasu Matsushima (CoRR, 2023)

Generalizing p-Laplacian: spectral hypergraph theory and a partitioning algorithm. - Shota Saito; Mark Herbster (Mach. Learn., 2023)

Non-Asymptotic Bounds of Cumulant Generating Function of Codeword Lengths in Variable-Length Lossy Compression. - Shota Saito; Toshiyasu Matsushima (IEEE Trans. Inf. Theory, 2023)

CatCMA : Stochastic Optimization for Mixed-Category Problems. - Ryoki Hamano; Shota Saito; Masahiro Nomura; Kento Uchida; Shinichi Shirakawa (GECCO, 2024)

CMA-ES for Safe Optimization. - Kento Uchida; Ryoki Hamano; Masahiro Nomura; Shota Saito; Shinichi Shirakawa (GECCO, 2024)

Enhancing Latency-Accuracy Tradeoff in Dynamic Split Inference via Vector Quantized Bottleneck. - Yen-Hsiu Chen; Yoichi Hirose; Shoma Shimizu; Shota Saito; Kento Uchida; Shinichi Shirakawa; Takayuki Nishio (GLOBECOM (Workshops), 2024)

Soft Guessing Under Log-Loss Distortion Allowing Errors. - Shota Saito (ISIT, 2024)

An Upper Bound of Cumulant Generating Function of Codeword Lengths in Variable-Length Lossy Source Coding Under Logarithmic Loss. - Shota Saito (ISITA, 2024)

Bandits with Abstention under Expert Advice. - Stephen Pasteris; Alberto Rumi; Maximilian Thiessen; Shota Saito; Atsushi Miyauchi 001; Fabio Vitale; Mark Herbster (NeurIPS, 2024)

CMA-ES for Discrete and Mixed-Variable Optimization on Sets of Points. - Kento Uchida; Ryoki Hamano; Masahiro Nomura; Shota Saito; Shinichi Shirakawa (PPSN (2), 2024)

Meta-Bound on Lower Bounds of Bayes Risk in Parameter Estimation. - Shota Saito (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2024)

An Efficient Bayes Coding Algorithm for Changing Context Tree Model. - Koshi Shimada; Shota Saito; Toshiyasu Matsushima (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2024)

HACNet: End-to-end learning of interpretable table-to-image converter and convolutional neural network. - Takuya Matsuda; Kento Uchida; Shota Saito; Shinichi Shirakawa (Knowl. Based Syst., 2024)

Marginal Probability-Based Integer Handling for CMA-ES Tackling Single- and Multi-Objective Mixed-Integer Black-Box Optimization. - Ryoki Hamano; Shota Saito; Masahiro Nomura; Shinichi Shirakawa (ACM Trans. Evol. Learn. Optim., 2024)

Bayesian Decision Theory on Decision Trees: Uncertainty Evaluation and Interpretability. - Yuta Nakahara; Shota Saito; Naoki Ichijo; Koki Kazama; Toshiyasu Matsushima (AISTATS, 2025)

CatCMA with Margin: Stochastic Optimization for Continuous, Integer, and Categorical Variables. - Ryoki Hamano; Masahiro Nomura; Shota Saito; Kento Uchida; Shinichi Shirakawa (GECCO, 2025)

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 (Int. J. Data Sci. Anal., 2025)