Wataru Kumagai

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 30

Top Topics

Particle Swarm Optimization

Constrained Optimization

Transfer Learning

Top Venues

IEEE Trans. Inf. Theory

Publications

Toshinori Kitamura, Tadashi Kozuno, Masahiro Kato, Yuki Ichihara, Soichiro Nishimori, Akiyoshi Sannai, Sho Sonoda, Wataru Kumagai, Yutaka Matsuo
A Policy Gradient Primal-Dual Algorithm for Constrained MDPs with Uniform PAC Guarantees. CoRR (2024)
Yusuke Yasuda, Hidetoki Kojima, Wataru Kumagai, Kenichi Tamura, Keiichiro Yasuda
A Switching Normalization Method in Decomposition-based Constraint Handling for Constrained Optimization. SICE (2023)
Shiro Takagi, Ryutaro Yamauchi, Wataru Kumagai
Towards Autonomous Hypothesis Verification via Language Models with Minimal Guidance. CoRR (2023)
Toshinori Kitamura, Tadashi Kozuno, Yunhao Tang, Nino Vieillard, Michal Valko, Wenhao Yang, Jincheng Mei, Pierre Ménard, Mohammad Gheshlaghi Azar, Rémi Munos, Olivier Pietquin, Matthieu Geist, Csaba Szepesvári, Wataru Kumagai, Yutaka Matsuo
Regularization and Variance-Weighted Regression Achieves Minimax Optimality in Linear MDPs: Theory and Practice. CoRR (2023)
Ryutaro Yamauchi, Sho Sonoda, Akiyoshi Sannai, Wataru Kumagai
LPML: LLM-Prompting Markup Language for Mathematical Reasoning. CoRR (2023)
Toshinori Kitamura, Tadashi Kozuno, Yunhao Tang, Nino Vieillard, Michal Valko, Wenhao Yang, Jincheng Mei, Pierre Ménard, Mohammad Gheshlaghi Azar, Rémi Munos, Olivier Pietquin, Matthieu Geist, Csaba Szepesvári, Wataru Kumagai, Yutaka Matsuo
Regularization and Variance-Weighted Regression Achieves Minimax Optimality in Linear MDPs: Theory and Practice. ICML (2023)
Shohei Taniguchi, Yusuke Iwasawa, Wataru Kumagai, Yutaka Matsuo
Langevin Autoencoders for Learning Deep Latent Variable Models. CoRR (2022)
Yusuke Yasuda, Wataru Kumagai, Kenichi Tamura, Keiichiro Yasuda
MOEA/D with Feasibility-based Weight Adjustment for Constrained Optimization. SSCI (2022)
Shohei Taniguchi, Yusuke Iwasawa, Wataru Kumagai, Yutaka Matsuo
Langevin Autoencoders for Learning Deep Latent Variable Models. NeurIPS (2022)
Yuki Mae, Wataru Kumagai, Takafumi Kanamori
Uncertainty propagation for dropout-based Bayesian neural networks. Neural Networks 144 (2021)
Akiyoshi Sannai, Makoto Kawano, Wataru Kumagai
Equivariant and Invariant Reynolds Networks. CoRR (2021)
Makoto Kawano, Wataru Kumagai, Akiyoshi Sannai, Yusuke Iwasawa, Yutaka Matsuo
Group Equivariant Conditional Neural Processes. CoRR (2021)
Makoto Kawano, Wataru Kumagai, Akiyoshi Sannai, Yusuke Iwasawa, Yutaka Matsuo
Group Equivariant Conditional Neural Processes. ICLR (2021)
Wataru Kumagai, Akiyoshi Sannai
Universal Approximation Theorem for Equivariant Maps by Group CNNs. CoRR (2020)
Yuichiro Wada, Shugo Miyamoto, Takumi Nakagama, Léo Andéol, Wataru Kumagai, Takafumi Kanamori
Spectral Embedded Deep Clustering. Entropy 21 (8) (2019)
Yuichiro Wada, Siqiang Su, Wataru Kumagai, Takafumi Kanamori
-Nearest Neighbor in Online Semi-Supervised Learning. IEICE Trans. Inf. Syst. (8) (2019)
Kota Matsui, Wataru Kumagai, Kenta Kanamori, Mitsuaki Nishikimi, Takafumi Kanamori
Variable Selection for Nonparametric Learning with Power Series Kernels. Neural Comput. 31 (8) (2019)
Wataru Kumagai, Takafumi Kanamori
Risk bound of transfer learning using parametric feature mapping and its application to sparse coding. Mach. Learn. 108 (11) (2019)
Wataru Kumagai, Masahito Hayashi
Corrections to "Random Number Conversion and LOCC Conversion via Restricted Storage". IEEE Trans. Inf. Theory 64 (8) (2018)
Wataru Kumagai, Keiichiro Yasuda
Particle Swarm Optimization with Rotational Invariance Using Correlativity. SMC (2018)
Wataru Kumagai
Introduction to Bandit Convex Optimization Algorithms. ISITA (2018)
Kota Matsui, Wataru Kumagai, Kenta Kanamori, Mitsuaki Nishikimi, Takafumi Kanamori
Variable Selection for Nonparametric Learning with Power Series Kernels. CoRR (2018)
Wataru Kumagai, Masahito Hayashi
Corrections to "Second-Order Asymptotics of Conversions of Distributions and Entangled States Based on Rayleigh-Normal Probability Distributions". IEEE Trans. Inf. Theory 64 (7) (2018)
Wataru Kumagai
Regret Analysis for Continuous Dueling Bandit. CoRR (2017)
Kota Matsui, Wataru Kumagai, Takafumi Kanamori
Parallel distributed block coordinate descent methods based on pairwise comparison oracle. J. Glob. Optim. 69 (1) (2017)
Wataru Kumagai
Regret Analysis for Continuous Dueling Bandit. NIPS (2017)
Wataru Kumagai, Masahito Hayashi
Second-Order Asymptotics of Conversions of Distributions and Entangled States Based on Rayleigh-Normal Probability Distributions. IEEE Trans. Inf. Theory 63 (3) (2017)
Wataru Kumagai, Masahito Hayashi
Random Number Conversion and LOCC Conversion via Restricted Storage. IEEE Trans. Inf. Theory 63 (4) (2017)
Wataru Kumagai
Learning Bound for Parameter Transfer Learning. NIPS (2016)
Wataru Kumagai
Learning Bound for Parameter Transfer Learning. CoRR (2016)
Wataru Kumagai, Kenichi Tamura, Keiichiro Yasuda
Search Dynamics Analysis and Adaptive Parameter Adjustment of Cuckoo Search. SMC (2015)
Kosuke Ito, Wataru Kumagai, Masahito Hayashi
Asymptotic Compatibility between LOCC Conversion and Recovery. CoRR (2015)
Kosuke Ito, Wataru Kumagai, Masahito Hayashi
Asymptotic reversibility of LOCC conversions. ISIT (2014)
Kota Matsui, Wataru Kumagai, Takafumi Kanamori
Parallel Distributed Block Coordinate Descent Methods based on Pairwise Comparison Oracle. CoRR (2014)
Wataru Kumagai, Masahito Hayashi
Random Number Conversion and LOCC Conversion via Restricted Storage. CoRR (2014)
Wataru Kumagai, Masahito Hayashi
Random number conversion via restricted storage. ISIT (2014)
Wataru Kumagai, Masahito Hayashi
Second order asymptotics for random number generation. ISIT (2013)
Wataru Kumagai, Masahito Hayashi
Second Order Asymptotics of Optimal Approximate Conversion for Probability Distributions and Entangled States and Its Application to LOCC Cloning. CoRR (2013)
Wataru Kumagai, Masahito Hayashi
Second Order Asymptotics for Random Number Generation CoRR (2013)
Shuji Isobe, Wataru Kumagai, Masahiro Mambo, Hiroki Shizuya
. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. (1) (2007)