Kento Uchida

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 19

Top Topics

Gradient Method

Gaussian Distribution

Convolutional Neural Network

Joint Optimization

Top Venues

Knowl. Based Syst.

IEEE Trans. Evol. Comput.

Publications

Ryoki Hamano, Shota Saito, Masahiro Nomura, Kento Uchida, Shinichi Shirakawa
CatCMA : Stochastic Optimization for Mixed-Category Problems. GECCO (2024)
Kento Uchida, Ryoki Hamano, Masahiro Nomura, Shota Saito, Shinichi Shirakawa
CMA-ES for Safe Optimization. GECCO (2024)
Yutaro Yamada, Kento Uchida, Shinichi Shirakawa
How to Make Multi-Objective Evolutionary Algorithms Invariant to Monotonically Increasing Transformation of Objective Functions. GECCO Companion (2024)
Ryoki Hamano, Kento Uchida, Shinichi Shirakawa, Daiki Morinaga, Youhei Akimoto
Tail Bounds on the Runtime of Categorical Compact Genetic Algorithm. CoRR (2024)
Kento Uchida, Kenta Nishihara, Shinichi Shirakawa
CMA-ES with Adaptive Reevaluation for Multiplicative Noise. CoRR (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)
Kento Uchida, Kenta Nishihara, Shinichi Shirakawa
CMA-ES with Adaptive Reevaluation for Multiplicative Noise. GECCO (2024)
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)
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)
Teppei Yamaguchi, Kento Uchida, Shinichi Shirakawa
Improvement of sep-CMA-ES for Optimization of High-Dimensional Functions with Low Effective Dimensionality. SSCI (2022)
Kento Uchida, Genki Sakata, Tetsushi Watari, Yuta Yamakita, Shinichi Shirakawa
Generation of microscopic structure of solder material with desirable characteristics based on deep learning. Knowl. Based Syst. 258 (2022)
Kento Uchida, Shinichi Shirakawa, Youhei Akimoto
Finite-Sample Analysis of Information Geometric Optimization With Isotropic Gaussian Distribution on Convex Quadratic Functions. IEEE Trans. Evol. Comput. 24 (6) (2020)
Teppei Yamaguchi, Kento Uchida, Shinichi Shirakawa
Adaptive Stochastic Natural Gradient Method for Optimizing Functions with Low Effective Dimensionality. PPSN (1) (2020)
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)
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)
Kento Uchida, Shinichi Shirakawa, Youhei Akimoto
Analysis of information geometric optimization with isotropic gaussian distribution under finite samples. GECCO (2018)
Yutaro Yamada, Kento Uchida, Shota Saito, Shinichi Shirakawa
Surrogate-Assisted (1+1)-CMA-ES with Switching Mechanism of Utility Functions. EvoApplications@EvoStar (2013)