Analysis of information geometric optimization with isotropic gaussian distribution under finite samples. - Kento Uchida; Shinichi Shirakawa; Youhei Akimoto (GECCO, 2018)

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)

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)

Adaptive Stochastic Natural Gradient Method for Optimizing Functions with Low Effective Dimensionality. - Teppei Yamaguchi; Kento Uchida; Shinichi Shirakawa (PPSN (1), 2020)

Finite-Sample Analysis of Information Geometric Optimization With Isotropic Gaussian Distribution on Convex Quadratic Functions. - Kento Uchida; Shinichi Shirakawa; Youhei Akimoto (IEEE Trans. Evol. Comput., 2020)

Improvement of sep-CMA-ES for Optimization of High-Dimensional Functions with Low Effective Dimensionality. - Teppei Yamaguchi; Kento Uchida; Shinichi Shirakawa (SSCI, 2022)

Generation of microscopic structure of solder material with desirable characteristics based on deep learning. - Kento Uchida; Genki Sakata; Tetsushi Watari; Yuta Yamakita; Shinichi Shirakawa (Knowl. Based Syst., 2022)

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)

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)

CMA-ES with Adaptive Reevaluation for Multiplicative Noise. - Kento Uchida; Kenta Nishihara; Shinichi Shirakawa (GECCO, 2024)

How to Make Multi-Objective Evolutionary Algorithms Invariant to Monotonically Increasing Transformation of Objective Functions. - Yutaro Yamada; Kento Uchida; Shinichi Shirakawa (GECCO Companion, 2024)

Warm Starting of CMA-ES for Contextual Optimization Problems. - Yuta Sekino; Kento Uchida; Shinichi Shirakawa (PPSN (2), 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)

Covariance Matrix Adaptation Evolution Strategy for Low Effective Dimensionality. - Kento Uchida; Teppei Yamaguchi; Shinichi Shirakawa (CoRR, 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)

Bandit-Based Prompt Design Strategy Selection Improves Prompt Optimizers. - Rin Ashizawa; Yoichi Hirose; Nozomu Yoshinari; Kento Uchida; Shinichi Shirakawa (ACL (Findings), 2025)

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

Elitist Evolutionary Algorithm for Optimization on Sets of Points. - Takumi Matsuo; Kento Uchida; Shinichi Shirakawa (GECCO, 2025)

Surrogate-Assisted CMA-ES for Problems with Low Effective Dimensionality. - Yuta Sekino; Yohei Watanabe 004; Kento Uchida; Shinichi Shirakawa (GECCO, 2025)

Tail Bounds on the Runtime of Categorical Compact Genetic Algorithm. - Ryoki Hamano; Kento Uchida; Shinichi Shirakawa; Daiki Morinaga; Youhei Akimoto (Evol. Comput., 2025)

Machine Learning-Based Self-Localization Using Internal Sensors for Automating Bulldozers. - Hikaru Sawafuji; Ryota Ozaki; Takuto Motomura; Toyohisa Matsuda; Masanori Tojima; Kento Uchida; Shinichi Shirakawa (CoRR, 2025)