J. Sakuma

发表

Real-coded crossover as a role of kernel density estimation

Shigenobu Kobayashi, Jun Sakuma, Shigenobu Kobayashi, 2005, GECCO '05.

Non-parametric expectation-maximization for Gaussian mixtures

J. Sakuma, S. Kobayashi, 2002, Proceedings of the 9th International Conference on Neural Information Processing, 2002. ICONIP '02..

Extrapolation-directed crossover for real-coded GA: overcoming deceptive phenomena by extrapolative search

Shigenobu Kobayashi, S. Kobayashi, J. Sakuma, 2001, Proceedings of the 2001 Congress on Evolutionary Computation (IEEE Cat. No.01TH8546).

Large-scale k-means clustering with user-centric privacy-preservation

Shigenobu Kobayashi, Jun Sakuma, Shigenobu Kobayashi, 2010, Knowledge and Information Systems.

Adaptation of expansion rate for real-coded crossovers

Isao Ono, Shigenobu Kobayashi, Youhei Akimoto, 2009, GECCO.

Functional-Specialization Multi-Objective Real-Coded Genetic Algorithm: FS-MOGA

Naoki Hamada, Isao Ono, Shigenobu Kobayashi, 2008, PPSN.

Local Search for Multiobjective Function Optimization: Pareto Descent Method

Isao Ono, Shigenobu Kobayashi, Kokolo Ikeda, 2006 .

A genetic algorithm for privacy preserving combinatorial optimization

Shigenobu Kobayashi, Jun Sakuma, Shigenobu Kobayashi, 2007, GECCO '07.

Privacy-preserving reinforcement learning

Shigenobu Kobayashi, Jun Sakuma, Rebecca N. Wright, 2008, ICML '08.

Large-Scale k-Means Clustering with User-Centric Privacy Preservation

Shigenobu Kobayashi, Jun Sakuma, Shigenobu Kobayashi, 2008, PAKDD.

Analysis of The Behavior of MGG and JGG As A Selection Model for Real-coded Genetic Algorithms

Isao Ono, Shigenobu Kobayashi, Youhei Akimoto, 2010 .

Constraint-Handling Method for Multi-objective Function Optimization: Pareto Descent Repair Operator

Isao Ono, Shigenobu Kobayashi, Jun Sakuma, 2007, EMO.

Real-coded Crossovers as a Role of Kernel Density Estimator

Shigenobu Kobayashi, Jun Sakuma, Shigenobu Kobayashi, 2007 .

Link analysis for private weighted graphs

Shigenobu Kobayashi, Jun Sakuma, Shigenobu Kobayashi, 2009, SIGIR.

Real-coded GA for High-dimensional k-tablet Structures

Shigenobu Kobayashi, Jun Sakuma, Shigenobu Kobayashi, 2004 .

Instance-based Policy Learning by Real-coded Genetic Algorithms and Its Application to Control of Nonholonomic Systems

Isao Ono, Shigenobu Kobayashi, Jun Sakuma, 2009 .

Adaptive isolation model using data clustering for multimodal function optimization

Shigenobu Kobayashi, Jun Sakuma, Shin Ando, 2005, GECCO '05.

An information theoretic approach to detection of minority subsets

Shigenobu Kobayashi, Jun Sakuma, Einoshin Suzuki, 2007 .

Functionally specialized CMA-ES: a modification of CMA-ES based on the specialization of the functions of covariance matrix adaptation and step size adaptation

Isao Ono, Shigenobu Kobayashi, Youhei Akimoto, 2008, GECCO '08.

Extrapolation-Directed Crossover for Job-shop Scheduling Problems: Complementary Combination with JOX

Shigenobu Kobayashi, Jun Sakuma, Shigenobu Kobayashi, 2000, GECCO.

Uniform sampling of local pareto-optimal solution curves by pareto path following and its applications in multi-objective GA

Isao Ono, Shigenobu Kobayashi, Jun Sakuma, 2007, GECCO '07.

Component-wise EM for Mixture Model Estimation

Shigenobu Kobayashi, J. Sakuma, S. Ando, 2008 .

Privacy-Preserving Reinforcement Learning Keywords: reinforcement learning, Markov decision process, privacy, security, secure function evaluation

Rebecca N. Wright, Shigenobu Kobayashi, J. Sakuma, 2022 .

Multi Criteria Reinforcement Learning Based on Goal-directed Exploration and its Application to Bipedal Walking Robot

Shigenobu Kobayashi, Kokolo Ikeda, Jun Sakuma, 2005 .

Reinforcement learning by GA using importance sampling

Shigenobu Kobayashi, Jun Sakuma, Hajime Kimura, 2005 .

Local search for multiobjective function optimization: pareto descent method

J. Sakuma, Ken Harada, R. Sabourin, 2006, GECCO.

Peer-to-Peer k-meansクラスタリング Privacy-aware k-means Clustering in Peer-to-Peer Network

Shigenobu Kobayashi, Jun Sakuma, J. Sakuma, 2007 .

Local search for multiobjective function optimization: pareto descent method

J. Sakuma, Ken Harada, S. Kobayashi, 2006, GECCO '06.

Max-Min Off-Policy Actor-Critic Method Focusing on Worst-Case Robustness to Model Misspecification

J. Sakuma, Youhei Akimoto, Kazuto Fukuchi, 2022, 2211.03413.

Adaptive Scenario Subset Selection for Worst-Case Optimization and its Application to Well Placement Optimization

J. Sakuma, Youhei Akimoto, Kazuto Fukuchi, 2022, Appl. Soft Comput..

Fast approximate similarity search in extremely high-dimensional data sets

Jun Sakuma, Michael E. Houle, J. Sakuma, 2005, 21st International Conference on Data Engineering (ICDE'05).

An Evolutionary Algorithm for Optimizing Functions with UV Structures

Isao Ono, Shigenobu Kobayashi, Jun Sakuma, 2006, 2006 IEEE International Conference on Systems, Man and Cybernetics.

An Effective Rule Based Policy Representation and its Optimization using Inter Normal Distribution Crossover

Isao Ono, Shigenobu Kobayashi, Jun Sakuma, 2005, WSTST.

Optimization of Instance-based Policy Based on Real-coded Genetic Algorithms

J. Sakuma, I. Ono, S. Kobayashi, 2008, 2008 IEEE Conference on Soft Computing in Industrial Applications.

Covariance Matrix Adaptation Evolutionary Strategy with Worst-Case Ranking Approximation for Min–Max Optimization and Its Application to Berthing Control Tasks

J. Sakuma, Youhei Akimoto, Kazuto Fukuchi, 2023, ACM Trans. Evol. Learn. Optim..

Max-Min Off-Policy Actor-Critic Method Focusing on Worst-Case Robustness to Model Misspecification

J. Sakuma, Youhei Akimoto, Kazuto Fukuchi, 2022, NeurIPS.

Convergence Rate of the (1+1)-ES on Locally Strongly Convex and Lipschitz Smooth Functions

J. Sakuma, Youhei Akimoto, Kazuto Fukuchi, 2022, IEEE Transactions on Evolutionary Computation.

Proposal and Evaluation of Functionally Specialized CMA-ES

Isao Ono, Shigenobu Kobayashi, Youhei Akimoto, 2009 .