Shota Saito

According to our database, Shota Saito authored at least 60 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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., June, 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

An Efficient Bayes Coding Algorithm for Changing Context Tree Model.

Koshi Shimada, Shota Saito, Toshiyasu Matsushima

IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2024

Meta-Bound on Lower Bounds of Bayes Risk in Parameter Estimation.

Shota Saito

IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2024

Bandits with Abstention under Expert Advice.

Stephen Pasteris, Alberto Rumi, Maximilian Thiessen, Shota Saito, Atsushi Miyauchi, Fabio Vitale, Mark Herbster

CoRR, 2024

CMA-ES for Discrete and Mixed-Variable Optimization on Sets of Points.

Kento Uchida, Ryoki Hamano, Masahiro Nomura, Shota Saito, Shinichi Shirakawa

Proceedings of the Parallel Problem Solving from Nature - PPSN XVIII, 2024

Soft Guessing Under Log-Loss Distortion Allowing Errors.

Shota Saito

Proceedings of the IEEE International Symposium on Information Theory, 2024

CMA-ES for Safe Optimization.

Kento Uchida, Ryoki Hamano, Masahiro Nomura, Shota Saito, Shinichi Shirakawa

Proceedings of the Genetic and Evolutionary Computation Conference, 2024

CatCMA : Stochastic Optimization for Mixed-Category Problems.

Ryoki Hamano, Shota Saito, Masahiro Nomura, Kento Uchida, Shinichi Shirakawa

Proceedings of the Genetic and Evolutionary Computation Conference, 2024

2023

Non-Asymptotic Bounds of Cumulant Generating Function of Codeword Lengths in Variable-Length Lossy Compression.

Shota Saito, Toshiyasu Matsushima

IEEE Trans. Inf. Theory, April, 2023

Generalizing p-Laplacian: spectral hypergraph theory and a partitioning algorithm.

Shota Saito, Mark Herbster

Mach. Learn., January, 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

Hyperparameter Learning of Bayesian Context Tree Models.

Yuta Nakahara, Shota Saito, Koshi Shimada, Toshiyasu Matsushima

Proceedings of the IEEE International Symposium on Information Theory, 2023

Multi-class Graph Clustering via Approximated Effective p-Resistance.

Shota Saito, Mark Herbster

Proceedings of the International Conference on Machine Learning, 2023

(1+1)-CMA-ES with Margin for Discrete and Mixed-Integer Problems.

Yohei Watanabe, Kento Uchida, Ryoki Hamano, Shota Saito, Masahiro Nomura, Shinichi Shirakawa

Proceedings of the Genetic and Evolutionary Computation Conference, 2023

Surrogate-Assisted (1+1)-CMA-ES with Switching Mechanism of Utility Functions.

Yutaro Yamada, Kento Uchida, Shota Saito, Shinichi Shirakawa

Proceedings of the Applications of Evolutionary Computation - 26th European Conference, 2023

Discovery of Contrast Itemset with Statistical Background Between Two Continuous Variables.

Kaoru Shimada, Shogo Matsuno, Shota Saito

Proceedings of the Big Data Analytics and Knowledge Discovery, 2023

2022

Upper Bound on Privacy-Utility Tradeoff Allowing Positive Excess Distortion Probability.

Shota Saito, Toshiyasu Matsushima

IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2022

Probability Distribution on Full Rooted Trees.

Yuta Nakahara, Shota Saito, Akira Kamatsuka, Toshiyasu Matsushima

Entropy, 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

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

Proceedings of the International Symposium on Information Theory and Its Applications, 2022

On Meta-Bound for Lower Bounds of Bayes Risk.

Shota Saito

Proceedings of the IEEE International Symposium on Information Theory, 2022

Probability Distribution on Rooted Trees.

Yuta Nakahara, Shota Saito, Akira Kamatsuka, Toshiyasu Matsushima

Proceedings of the IEEE International Symposium on Information Theory, 2022

Efficient Search of Multiple Neural Architectures with Different Complexities via Importance Sampling.

Yuhei Noda, Shota Saito, Shinichi Shirakawa

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 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

Proceedings of the IEEE Globecom 2022 Workshops, 2022

Benchmarking CMA-ES with margin on the bbob-mixint testbed.

Ryoki Hamano, Shota Saito, Masahiro Nomura, Shinichi Shirakawa

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

CMA-ES with margin: lower-bounding marginal probability for mixed-integer black-box optimization.

Ryoki Hamano, Shota Saito, Masahiro Nomura, Shinichi Shirakawa

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

Hypergraph Modeling via Spectral Embedding Connection: Hypergraph Cut, Weighted Kernel k-Means, and Heat Kernel.

Shota Saito

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Meta-Tree Random Forest: Probabilistic Data-Generative Model and Bayes Optimal Prediction.

Nao Dobashi, Shota Saito, Yuta Nakahara, Toshiyasu Matsushima

Entropy, 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

Proceedings of the IEEE Information Theory Workshop, 2021

Evaluation of Error Probability of Classification Based on the Analysis of the Bayes Code: Extension and Example.

Shota Saito, Toshiyasu Matsushima

Proceedings of the IEEE International Symposium on Information Theory, 2021

2020

On Two Information Quantities Relating Two Distortion Balls.

Shota Saito, Toshiyasu Matsushima

Proceedings of the International Symposium on Information Theory and Its Applications, 2020

Evaluation of Error Probability of Classification Based on the Analysis of the Bayes Code.

Shota Saito, Toshiyasu Matsushima

Proceedings of the IEEE International Symposium on Information Theory, 2020

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

Optimization of H0 Photonic Crystal Nanocavity using Neural Network.

Ryotaro Abe, Taichi Takeda, Ryo Shiratori, Shinichi Shirakawa, Shota Saito, Toshihiko Baba

Proceedings of the 2019 24th OptoElectronics and Communications Conference (OECC) and 2019 International Conference on Photonics in Switching and Computing (PSC), 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

Proceedings of the Advances in Visual Computing, 2019

Non-Asymptotic Fundamental Limits of Guessing Subject to Distortion.

Shota Saito, Toshiyasu Matsushima

Proceedings of the IEEE International Symposium on Information Theory, 2019

Adaptive Stochastic Natural Gradient Method for One-Shot Neural Architecture Search.

Youhei Akimoto, Shinichi Shirakawa, Nozomu Yoshinari, Kento Uchida, Shota Saito, Kouhei Nishida

Proceedings of the 36th International Conference on Machine Learning, 2019

Controlling Model Complexity in Probabilistic Model-Based Dynamic Optimization of Neural Network Structures.

Shota Saito, Shinichi Shirakawa

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Deep Learning, 2019

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

Non-Asymptotic and Asymptotic Fundamental Limits of Guessing Subject to Distortion.

Shota Saito, Toshiyasu Matsushima

CoRR, 2018

Variable-Length Intrinsic Randomness Allowing Positive Value of the Average Variational Distance.

Jun Yoshizawa, Shota Saito, Toshiyasu Matsushima

Proceedings of the International Symposium on Information Theory and Its Applications, 2018

New Results on Variable-Length Lossy Compression Allowing Positive Overflow and Excess Distortion Probabilities.

Shota Saito, Hideki Yagi, Toshiyasu Matsushima

Proceedings of the International Symposium on Information Theory and Its Applications, 2018

Cumulant Generating Function of Codeword Lengths in Variable-Length Lossy Compression Allowing Positive Excess Distortion Probability.

Shota Saito, Toshiyasu Matsushima

Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018

Embedded feature selection using probabilistic model-based optimization.

Shota Saito, Shinichi Shirakawa, Youhei Akimoto

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

Bayesian Independent Component Analysis under Hierarchical Model on Independent Components.

Kai Asaba, Shota Saito, Shunsuke Horii, Toshiyasu Matsushima

Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2018

Hypergraph p-Laplacian: A Differential Geometry View.

Shota Saito, Danilo P. Mandic, Hideyuki Suzuki

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

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

Evaluation of Overflow Probability of Bayes Code in Moderate Deviation Regime.

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

Spatially "Mt. Fuji" Coupled LDPC Codes.

Yuta Nakahara, Shota Saito, Toshiyasu Matsushima

IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2017

Variable-length lossy compression allowing positive overflow and excess distortion probabilities.

Shota Saito, Hideki Yagi, Toshiyasu Matsushima

Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

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

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 in terms of smooth max-entropy for variable-length compression allowing errors.

Shota Saito, Toshiyasu Matsushima

Proceedings of the 2016 International Symposium on Information Theory and Its Applications, 2016

2015

Early detection of persistent topics in social networks.

Shota Saito, Ryota Tomioka, Kenji Yamanishi

Soc. Netw. Anal. Min., 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

Fundamental limit and pointwise asymptotics of the Bayes code for Markov sources.

Shota Saito, Nozomi Miya, Toshiyasu Matsushima

Proceedings of the IEEE International Symposium on Information Theory, 2015

2014

Evaluation of the minimum overflow threshold of bayes codes for a Markov source.

Shota Saito, Nozomi Miya, Toshiyasu Matsushima

Proceedings of the International Symposium on Information Theory and its Applications, 2014

2012

Simple analog motion detection circuit using CCD camera based on the biological vision system.

Kimihiro Nishio, Yasushi Arimune, Shota Saito

Proceedings of the International Symposium on Communications and Information Technologies, 2012