| 2026 | ISIT | Soft Bayesian Context Tree Models for Real-Valued Time Series. | Shota Saito, Yuta Nakahara, Toshiyasu Matsushima |
| 2025 | AISTATS | Bayesian Decision Theory on Decision Trees: Uncertainty Evaluation and Interpretability. | Yuta Nakahara, Shota Saito, Naoki Ichijo, Koki Kazama, Toshiyasu Matsushima |
| 2025 | GECCO | CatCMA with Margin: Stochastic Optimization for Continuous, Integer, and Categorical Variables. | Ryoki Hamano, Masahiro Nomura, Shota Saito, Kento Uchida, Shinichi Shirakawa |
| 2024 | GECCO | CatCMA : Stochastic Optimization for Mixed-Category Problems. | Ryoki Hamano, Shota Saito, Masahiro Nomura, Kento Uchida, Shinichi Shirakawa |
| 2024 | GECCO | CMA-ES for Safe Optimization. | Kento Uchida, Ryoki Hamano, Masahiro Nomura, Shota Saito, Shinichi Shirakawa |
| 2024 | GLOBECOM | 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 |
| 2024 | ISIT | Soft Guessing Under Log-Loss Distortion Allowing Errors. | Shota Saito |
| 2024 | ISITA | An Upper Bound of Cumulant Generating Function of Codeword Lengths in Variable-Length Lossy Source Coding Under Logarithmic Loss. | Shota Saito |
| 2024 | PPSN | CMA-ES for Discrete and Mixed-Variable Optimization on Sets of Points. | Kento Uchida, Ryoki Hamano, Masahiro Nomura, Shota Saito, Shinichi Shirakawa |
| 2023 | DaWaK | Discovery of Contrast Itemset with Statistical Background Between Two Continuous Variables. | Kaoru Shimada, Shogo Matsuno, Shota Saito |
| 2023 | GECCO | (1+1)-CMA-ES with Margin for Discrete and Mixed-Integer Problems. | Yohei Watanabe, Kento Uchida, Ryoki Hamano, Shota Saito, Masahiro Nomura, Shinichi Shirakawa |
| 2023 | ICML | Multi-class Graph Clustering via Approximated Effective p-Resistance. | Shota Saito, Mark Herbster |
| 2023 | ISIT | Hyperparameter Learning of Bayesian Context Tree Models. | Yuta Nakahara, Shota Saito, Koshi Shimada, Toshiyasu Matsushima |
| 2022 | AAAI | Hypergraph Modeling via Spectral Embedding Connection: Hypergraph Cut, Weighted Kernel k-Means, and Heat Kernel. | Shota Saito |
| 2022 | GECCO | CMA-ES with margin: lower-bounding marginal probability for mixed-integer black-box optimization. | Ryoki Hamano, Shota Saito, Masahiro Nomura, Shinichi Shirakawa |
| 2022 | GECCO | Benchmarking CMA-ES with margin on the bbob-mixint testbed. | Ryoki Hamano, Shota Saito, Masahiro Nomura, Shinichi Shirakawa |
| 2022 | GLOBECOM | 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 |
| 2022 | ICANN | Efficient Search of Multiple Neural Architectures with Different Complexities via Importance Sampling. | Yuhei Noda, Shota Saito, Shinichi Shirakawa |
| 2022 | ISIT | Probability Distribution on Rooted Trees. | Yuta Nakahara, Shota Saito, Akira Kamatsuka, Toshiyasu Matsushima |
| 2022 | ISIT | On Meta-Bound for Lower Bounds of Bayes Risk. | Shota Saito |
| 2022 | ISITA | 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 |
| 2021 | ISIT | Evaluation of Error Probability of Classification Based on the Analysis of the Bayes Code: Extension and Example. | Shota Saito, Toshiyasu Matsushima |
| 2021 | ITW | 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 |
| 2020 | ISIT | Evaluation of Error Probability of Classification Based on the Analysis of the Bayes Code. | Shota Saito, Toshiyasu Matsushima |
| 2020 | ISITA | On Two Information Quantities Relating Two Distortion Balls. | Shota Saito, Toshiyasu Matsushima |
| 2019 | ICANN | Controlling Model Complexity in Probabilistic Model-Based Dynamic Optimization of Neural Network Structures. | Shota Saito, Shinichi Shirakawa |
| 2019 | ICML | Adaptive Stochastic Natural Gradient Method for One-Shot Neural Architecture Search. | Youhei Akimoto, Shinichi Shirakawa, Nozomu Yoshinari, Kento Uchida, Shota Saito, Kouhei Nishida |
| 2019 | ISIT | Non-Asymptotic Fundamental Limits of Guessing Subject to Distortion. | Shota Saito, Toshiyasu Matsushima |
| 2019 | ISVC | 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 |
| 2018 | AAAI | Hypergraph p-Laplacian: A Differential Geometry View. | Shota Saito, Danilo P. Mandic, Hideyuki Suzuki |
| 2018 | GECCO | Embedded feature selection using probabilistic model-based optimization. | Shota Saito, Shinichi Shirakawa, Youhei Akimoto |
| 2018 | ISIT | Cumulant Generating Function of Codeword Lengths in Variable-Length Lossy Compression Allowing Positive Excess Distortion Probability. | Shota Saito, Toshiyasu Matsushima |
| 2018 | ISITA | New Results on Variable-Length Lossy Compression Allowing Positive Overflow and Excess Distortion Probabilities. | Shota Saito, Hideki Yagi, Toshiyasu Matsushima |
| 2018 | ISITA | Variable-Length Intrinsic Randomness Allowing Positive Value of the Average Variational Distance. | Jun Yoshizawa, Shota Saito, Toshiyasu Matsushima |
| 2017 | ISIT | Variable-length lossy compression allowing positive overflow and excess distortion probabilities. | Shota Saito, Hideki Yagi, Toshiyasu Matsushima |
| 2016 | ISITA | Spatially "Mt. Fuji" coupled LDPC codes. | Yuta Nakahara, Shota Saito, Toshiyasu Matsushima |
| 2016 | ISITA | Evaluation of overflow probability of Bayes code in moderate deviation regime. | Shota Saito, Toshiyasu Matsushima |
| 2016 | ISITA | Threshold of overflow probability in terms of smooth max-entropy for variable-length compression allowing errors. | Shota Saito, Toshiyasu Matsushima |
| 2015 | ISIT | Fundamental limit and pointwise asymptotics of the Bayes code for Markov sources. | Shota Saito, Nozomi Miya, Toshiyasu Matsushima |
| 2014 | ISITA | Evaluation of the minimum overflow threshold of bayes codes for a Markov source. | Shota Saito, Nozomi Miya, Toshiyasu Matsushima |