Shota Saito

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 72

Top Topics

Neural Architecture

Fundamental Limits

Top Venues

IEICE Trans. Fundam. Electron. Commun. Comput. Sci.

Publications

Ryoki Hamano, Shota Saito, Masahiro Nomura, Kento Uchida, Shinichi Shirakawa
CatCMA : Stochastic Optimization for Mixed-Category Problems. GECCO (2024)
Koshi Shimada, Shota Saito, Toshiyasu Matsushima
An Efficient Bayes Coding Algorithm for Changing Context Tree Model. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 107 (3) (2024)
Kento Uchida, Ryoki Hamano, Masahiro Nomura, Shota Saito, Shinichi Shirakawa
CMA-ES for Safe Optimization. GECCO (2024)
Stephen Pasteris, Alberto Rumi, Maximilian Thiessen, Shota Saito, Atsushi Miyauchi, Fabio Vitale, Mark Herbster
Bandits with Abstention under Expert Advice. CoRR (2024)
Ryoki Hamano, Shota Saito, Masahiro Nomura, Shinichi Shirakawa
Marginal Probability-Based Integer Handling for CMA-ES Tackling Single- and Multi-Objective Mixed-Integer Black-Box Optimization. ACM Trans. Evol. Learn. Optim. 4 (2) (2024)
Kento Uchida, Ryoki Hamano, Masahiro Nomura, Shota Saito, Shinichi Shirakawa
CMA-ES for Safe Optimization. CoRR (2024)
Takuya Matsuda, Kento Uchida, Shota Saito, Shinichi Shirakawa
HACNet: End-to-end learning of interpretable table-to-image converter and convolutional neural network. Knowl. Based Syst. 284 (2024)
Ryoki Hamano, Shota Saito, Masahiro Nomura, Kento Uchida, Shinichi Shirakawa
CatCMA : Stochastic Optimization for Mixed-Category Problems. CoRR (2024)
Shota Saito
Meta-Bound on Lower Bounds of Bayes Risk in Parameter Estimation. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 107 (3) (2024)
Shota Saito, Toshiyasu Matsushima
Non-Asymptotic Bounds of Cumulant Generating Function of Codeword Lengths in Variable-Length Lossy Compression. IEEE Trans. Inf. Theory 69 (4) (2023)
Kaoru Shimada, Shogo Matsuno, Shota Saito
Discovery of Contrast Itemset with Statistical Background Between Two Continuous Variables. DaWaK (2023)
Shota Saito
Soft Guessing Under Log-Loss Distortion Allowing Errors. CoRR (2023)
Yuta Nakahara, Shota Saito, Koshi Shimada, Toshiyasu Matsushima
Hyperparameter Learning of Bayesian Context Tree Models. ISIT (2023)
Yohei Watanabe, Kento Uchida, Ryoki Hamano, Shota Saito, Masahiro Nomura, Shinichi Shirakawa
(1+1)-CMA-ES with Margin for Discrete and Mixed-Integer Problems. CoRR (2023)
Shota Saito, Mark Herbster
Multi-class Graph Clustering via Approximated Effective p-Resistance. CoRR (2023)
Yuta Nakahara, Shota Saito, Naoki Ichijo, Koki Kazama, Toshiyasu Matsushima
Prediction Algorithms Achieving Bayesian Decision Theoretical Optimality Based on Decision Trees as Data Observation Processes. CoRR (2023)
Shota Saito, Mark Herbster
Multi-class Graph Clustering via Approximated Effective p-Resistance. ICML (2023)
Yohei Watanabe, Kento Uchida, Ryoki Hamano, Shota Saito, Masahiro Nomura, Shinichi Shirakawa
(1+1)-CMA-ES with Margin for Discrete and Mixed-Integer Problems. GECCO (2023)
Shota Saito, Mark Herbster
Generalizing p-Laplacian: spectral hypergraph theory and a partitioning algorithm. Mach. Learn. 112 (1) (2023)
Ryoki Hamano, Shota Saito, Masahiro Nomura, Shinichi Shirakawa
CMA-ES with Margin for Single-and Multi-Objective Mixed-Integer Black-Box Optimization. CoRR (2022)
Yuta Nakahara, Shota Saito, Akira Kamatsuka, Toshiyasu Matsushima
Probability Distribution on Rooted Trees. ISIT (2022)
Shota Saito
Hypergraph Modeling via Spectral Embedding Connection: Hypergraph Cut, Weighted Kernel k-Means, and Heat Kernel. AAAI (2022)
Shota Saito, Toshiyasu Matsushima
Upper Bound on Privacy-Utility Tradeoff Allowing Positive Excess Distortion Probability. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. (3) (2022)
Ryoki Hamano, Shota Saito, Masahiro Nomura, Shinichi Shirakawa
Benchmarking CMA-ES with margin on the bbob-mixint testbed. GECCO Companion (2022)
Shoma Shimizu, Takayuki Nishio, Shota Saito, Yoichi Hirose, Yen-Hsiu Chen, Shinichi Shirakawa
Neural Architecture Search for Improving Latency-Accuracy Trade-off in Split Computing. CoRR (2022)
Yuta Nakahara, Shota Saito, Akira Kamatsuka, Toshiyasu Matsushima
Probability Distribution on Full Rooted Trees. Entropy 24 (3) (2022)
Ryoki Hamano, Shota Saito, Masahiro Nomura, Shinichi Shirakawa
CMA-ES with margin: lower-bounding marginal probability for mixed-integer black-box optimization. GECCO (2022)
Shota Saito
On Meta-Bound for Lower Bounds of Bayes Risk. ISIT (2022)
Yuta Nakahara, Shota Saito, Akira Kamatsuka, Toshiyasu Matsushima
Probability Distribution on Rooted Trees. CoRR (2022)
Ryoki Hamano, Shota Saito, Masahiro Nomura, Shinichi Shirakawa
CMA-ES with Margin: Lower-Bounding Marginal Probability for Mixed-Integer Black-Box Optimization. CoRR (2022)
Shoma Shimizu, Takayuki Nishio, Shota Saito, Yoichi Hirose, Yen-Hsiu Chen, Shinichi Shirakawa
Neural Architecture Search for Improving Latency-Accuracy Trade-off in Split Computing. GLOBECOM (Workshops) (2022)
Yuhei Noda, Shota Saito, Shinichi Shirakawa
Efficient Search of Multiple Neural Architectures with Different Complexities via Importance Sampling. ICANN (4) (2022)
Shota Saito
Hypergraph Modeling via Spectral Embedding Connection: Hypergraph Cut, Weighted Kernel k-means, and Heat Kernel. CoRR (2022)
Yuhei Noda, Shota Saito, Shinichi Shirakawa
Efficient Search of Multiple Neural Architectures with Different Complexities via Importance Sampling. CoRR (2022)
Shota Saito, Toshiyasu Matsushima
Evaluation of Error Probability of Classification Based on the Analysis of the Bayes Code: Extension and Example. ISIT (2021)
Koshi Shimada, Shota Saito, Toshiyasu Matsushima
An Efficient Bayes Coding Algorithm for the Non-Stationary Source in Which Context Tree Model Varies from Interval to Interval. CoRR (2021)
Koshi Shimada, Shota Saito, Toshiyasu Matsushima
An Efficient Bayes Coding Algorithm for the Non-Stationary Source in Which Context Tree Model Varies from Interval to Interval. ITW (2021)
Nao Dobashi, Shota Saito, Yuta Nakahara, Toshiyasu Matsushima
Meta-Tree Random Forest: Probabilistic Data-Generative Model and Bayes Optimal Prediction. Entropy 23 (6) (2021)
Yuta Nakahara, Shota Saito, Akira Kamatsuka, Toshiyasu Matsushima
Probability Distribution on Full Rooted Trees. CoRR (2021)
Shota Saito, Toshiyasu Matsushima
Evaluation of Error Probability of Classification Based on the Analysis of the Bayes Code. ISIT (2020)
Shota Saito, Toshiyasu Matsushima
On Two Information Quantities Relating Two Distortion Balls. ISITA (2020)
Shota Saito, Shinichi Shirakawa
Controlling Model Complexity in Probabilistic Model-Based Dynamic Optimization of Neural Network Structures. CoRR (2019)
Jun Yoshizawa, Shota Saito, Toshiyasu Matsushima
Variable-Length Intrinsic Randomness on Two Performance Criteria Based on Variational Distance. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. (12) (2019)
Ryotaro Abe, Taichi Takeda, Ryo Shiratori, Shinichi Shirakawa, Shota Saito, Toshihiko Baba
Optimization of H0 Photonic Crystal Nanocavity using Neural Network. OECC/PSC (2019)
Shota Saito, Toshiyasu Matsushima
Non-Asymptotic Fundamental Limits of Guessing Subject to Distortion. ISIT (2019)
Youhei Akimoto, Shinichi Shirakawa, Nozomu Yoshinari, Kento Uchida, Shota Saito, Kouhei Nishida
Adaptive Stochastic Natural Gradient Method for One-Shot Neural Architecture Search. ICML (2019)
Shota Saito, Shinichi Shirakawa
Controlling Model Complexity in Probabilistic Model-Based Dynamic Optimization of Neural Network Structures. ICANN (2) (2019)
Shota Saito, Toshiyasu Matsushima
Evaluation of Error Probability of Classification Based on the Analysis of the Bayes Code. CoRR (2019)
Youhei Akimoto, Shinichi Shirakawa, Nozomu Yoshinari, Kento Uchida, Shota Saito, Kouhei Nishida
Adaptive Stochastic Natural Gradient Method for One-Shot Neural Architecture Search. CoRR (2019)
Kento Uchida, Shota Saito, Panca Dewi Pamungkasari, Yusei Kawai, Ita Fauzia Hanoum, Filbert H. Juwono, Shinichi Shirakawa
Joint Optimization of Convolutional Neural Network and Image Preprocessing Selection for Embryo Grade Prediction in In Vitro Fertilization. ISVC (2) (2019)
Shota Saito, Toshiyasu Matsushima
Non-Asymptotic and Asymptotic Fundamental Limits of Guessing Subject to Distortion. CoRR (2018)
Shota Saito, Toshiyasu Matsushima
Cumulant Generating Function of Codeword Lengths in Variable-Length Lossy Compression Allowing Positive Excess Distortion Probability. ISIT (2018)
Kouhei Nishida, Hernán E. Aguirre, Shota Saito, Shinichi Shirakawa, Youhei Akimoto
Parameterless Stochastic Natural Gradient Method for Discrete Optimization and its Application to Hyper-Parameter Optimization for Neural Network. CoRR (2018)
Kai Asaba, Shota Saito, Shunsuke Horii, Toshiyasu Matsushima
Bayesian Independent Component Analysis under Hierarchical Model on Independent Components. APSIPA (2018)
Shota Saito, Shinichi Shirakawa, Youhei Akimoto
Embedded feature selection using probabilistic model-based optimization. GECCO (Companion) (2018)
Shota Saito, Danilo P. Mandic, Hideyuki Suzuki
Hypergraph p-Laplacian: A Differential Geometry View. AAAI (2018)
Shota Saito, Toshiyasu Matsushima
Cumulant Generating Function of Codeword Lengths in Variable-Length Lossy Compression Allowing Positive Excess Distortion Probability. CoRR (2018)
Shota Saito, Hideki Yagi, Toshiyasu Matsushima
New Results on Variable-Length Lossy Compression Allowing Positive Overflow and Excess Distortion Probabilities. ISITA (2018)
Jun Yoshizawa, Shota Saito, Toshiyasu Matsushima
Variable-Length Intrinsic Randomness Allowing Positive Value of the Average Variational Distance. CoRR (2018)
Jun Yoshizawa, Shota Saito, Toshiyasu Matsushima
Variable-Length Intrinsic Randomness Allowing Positive Value of the Average Variational Distance. ISITA (2018)
Shota Saito, Danilo P. Mandic, Hideyuki Suzuki
Hypergraph p-Laplacian: A Differential Geometry View. CoRR (2017)
Shota Saito, Yoichi Tomioka, Hitoshi Kitazawa
A Theoretical Framework for Estimating False Acceptance Rate of PRNU-Based Camera Identification. IEEE Trans. Inf. Forensics Secur. 12 (9) (2017)
Shota Saito, Toshiyasu Matsushima
Evaluation of Overflow Probability of Bayes Code in Moderate Deviation Regime. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. (12) (2017)
Shota Saito, Hideki Yagi, Toshiyasu Matsushima
Variable-Length Lossy Compression Allowing Positive Overflow and Excess Distortion Probabilities. CoRR (2017)
Isao Nambu, Takahiro Imai, Shota Saito, Takanori Sato, Yasuhiro Wada
Detecting Motor Learning-Related fNIRS Activity by Applying Removal of Systemic Interferences. IEICE Trans. Inf. Syst. (1) (2017)
Shota Saito, Hideki Yagi, Toshiyasu Matsushima
Variable-length lossy compression allowing positive overflow and excess distortion probabilities. ISIT (2017)
Yuta Nakahara, Shota Saito, Toshiyasu Matsushima
Spatially "Mt. Fuji" Coupled LDPC Codes. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. (12) (2017)
Shota Saito, Toshiyasu Matsushima
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. (12) (2016)
Shota Saito, Toshiyasu Matsushima
Evaluation of overflow probability of Bayes code in moderate deviation regime. ISITA (2016)
Shota Saito, Toshiyasu Matsushima
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. (12) (2016)
Yuta Nakahara, Shota Saito, Toshiyasu Matsushima
Spatially "Mt. Fuji" coupled LDPC codes. ISITA (2016)
Shota Saito, Toshiyasu Matsushima
Threshold of overflow probability in terms of smooth max-entropy for variable-length compression allowing errors. ISITA (2016)
Shota Saito, Ryota Tomioka, Kenji Yamanishi
Early detection of persistent topics in social networks. Soc. Netw. Anal. Min. 5 (1) (2015)
Shota Saito, Nozomi Miya, Toshiyasu Matsushima
Fundamental limit and pointwise asymptotics of the Bayes code for Markov sources. ISIT (2015)
Shota Saito, Nozomi Miya, Toshiyasu Matsushima
Evaluation of the Bayes Code from Viewpoints of the Distribution of Its Codeword Lengths. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. (12) (2015)
Shota Saito, Nozomi Miya, Toshiyasu Matsushima
Evaluation of the minimum overflow threshold of bayes codes for a Markov source. ISITA (2014)
Shota Saito, Ryota Tomioka, Kenji Yamanishi
Early detection of persistent topics in social networks. ASONAM (2014)
Yutaro Yamada, Kento Uchida, Shota Saito, Shinichi Shirakawa
Surrogate-Assisted (1+1)-CMA-ES with Switching Mechanism of Utility Functions. EvoApplications@EvoStar (2013)
Kimihiro Nishio, Yasushi Arimune, Shota Saito
Simple analog motion detection circuit using CCD camera based on the biological vision system. ISCIT (2012)