Wataru Kumagai

According to our database, Wataru Kumagai authored at least 35 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Universal approximation with neural networks on function spaces.

Wataru Kumagai, Akiyoshi Sannai, Makoto Kawano

J. Exp. Theor. Artif. Intell., October, 2024

Invariant and Equivariant Reynolds Networks.

Akiyoshi Sannai, Makoto Kawano, Wataru Kumagai

J. Mach. Learn. Res., 2024

A Dataset for Evaluating LLM-based Evaluation Functions for Research Question Extraction Task.

Yuya Fujisaki, Shiro Takagi, Hideki Asoh, Wataru Kumagai

CoRR, 2024

Near-Optimal Policy Identification in Robust Constrained Markov Decision Processes via Epigraph Form.

Toshinori Kitamura, Tadashi Kozuno, Wataru Kumagai, Kenta Hoshino, Yohei Hosoe, Kazumi Kasaura, Masashi Hamaya, Paavo Parmas, Yutaka Matsuo

CoRR, 2024

A Policy Gradient Primal-Dual Algorithm for Constrained MDPs with Uniform PAC Guarantees.

Toshinori Kitamura, Tadashi Kozuno, Masahiro Kato, Yuki Ichihara, Soichiro Nishimori, Akiyoshi Sannai, Sho Sonoda, Wataru Kumagai, Yutaka Matsuo

CoRR, 2024

2023

Towards Autonomous Hypothesis Verification via Language Models with Minimal Guidance.

Shiro Takagi, Ryutaro Yamauchi, Wataru Kumagai

CoRR, 2023

LPML: LLM-Prompting Markup Language for Mathematical Reasoning.

Ryutaro Yamauchi, Sho Sonoda, Akiyoshi Sannai, Wataru Kumagai

CoRR, 2023

A Switching Normalization Method in Decomposition-based Constraint Handling for Constrained Optimization.

Yusuke Yasuda, Hidetoki Kojima, Wataru Kumagai, Kenichi Tamura, Keiichiro Yasuda

Proceedings of the 62nd Annual Conference of the Society of Instrument and Control Engineers, 2023

Regularization and Variance-Weighted Regression Achieves Minimax Optimality in Linear MDPs: Theory and Practice.

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

Proceedings of the International Conference on Machine Learning, 2023

2022

MOEA/D with Feasibility-based Weight Adjustment for Constrained Optimization.

Yusuke Yasuda, Wataru Kumagai, Kenichi Tamura, Keiichiro Yasuda

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

Langevin Autoencoders for Learning Deep Latent Variable Models.

Shohei Taniguchi, Yusuke Iwasawa, Wataru Kumagai, Yutaka Matsuo

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Uncertainty propagation for dropout-based Bayesian neural networks.

Yuki Mae, Wataru Kumagai, Takafumi Kanamori

Neural Networks, 2021

Equivariant and Invariant Reynolds Networks.

Akiyoshi Sannai, Makoto Kawano, Wataru Kumagai

CoRR, 2021

Group Equivariant Conditional Neural Processes.

Makoto Kawano, Wataru Kumagai, Akiyoshi Sannai, Yusuke Iwasawa, Yutaka Matsuo

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Universal Approximation Theorem for Equivariant Maps by Group CNNs.

Wataru Kumagai, Akiyoshi Sannai

CoRR, 2020

2019

Variable Selection for Nonparametric Learning with Power Series Kernels.

Kota Matsui, Wataru Kumagai, Kenta Kanamori, Mitsuaki Nishikimi, Takafumi Kanamori

Neural Comput., 2019

Risk bound of transfer learning using parametric feature mapping and its application to sparse coding.

Wataru Kumagai, Takafumi Kanamori

Mach. Learn., 2019

Robust Label Prediction via Label Propagation and Geodesic <i>k</i>-Nearest Neighbor in Online Semi-Supervised Learning.

Yuichiro Wada, Siqiang Su, Wataru Kumagai, Takafumi Kanamori

IEICE Trans. Inf. Syst., 2019

Spectral Embedded Deep Clustering.

Yuichiro Wada, Shugo Miyamoto, Takumi Nakagama, Léo Andéol, Wataru Kumagai, Takafumi Kanamori

Entropy, 2019

2018

Corrections to "Random Number Conversion and LOCC Conversion via Restricted Storage".

Wataru Kumagai, Masahito Hayashi

IEEE Trans. Inf. Theory, 2018

Corrections to "Second-Order Asymptotics of Conversions of Distributions and Entangled States Based on Rayleigh-Normal Probability Distributions".

Wataru Kumagai, Masahito Hayashi

IEEE Trans. Inf. Theory, 2018

Particle Swarm Optimization with Rotational Invariance Using Correlativity.

Wataru Kumagai, Keiichiro Yasuda

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

Introduction to Bandit Convex Optimization Algorithms.

Wataru Kumagai

Proceedings of the International Symposium on Information Theory and Its Applications, 2018

2017

Random Number Conversion and LOCC Conversion via Restricted Storage.

Wataru Kumagai, Masahito Hayashi

IEEE Trans. Inf. Theory, 2017

Second-Order Asymptotics of Conversions of Distributions and Entangled States Based on Rayleigh-Normal Probability Distributions.

Wataru Kumagai, Masahito Hayashi

IEEE Trans. Inf. Theory, 2017

Parallel distributed block coordinate descent methods based on pairwise comparison oracle.

Kota Matsui, Wataru Kumagai, Takafumi Kanamori

J. Glob. Optim., 2017

Regret Analysis for Continuous Dueling Bandit.

Wataru Kumagai

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2016

Learning Bound for Parameter Transfer Learning.

Wataru Kumagai

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2015

Asymptotic Compatibility between LOCC Conversion and Recovery.

Kosuke Ito, Wataru Kumagai, Masahito Hayashi

CoRR, 2015

Search Dynamics Analysis and Adaptive Parameter Adjustment of Cuckoo Search.

Wataru Kumagai, Kenichi Tamura, Keiichiro Yasuda

Proceedings of the 2015 IEEE International Conference on Systems, 2015

2014

Random number conversion via restricted storage.

Wataru Kumagai, Masahito Hayashi

Proceedings of the 2014 IEEE International Symposium on Information Theory, Honolulu, HI, USA, June 29, 2014

Asymptotic reversibility of LOCC conversions.

Kosuke Ito, Wataru Kumagai, Masahito Hayashi

Proceedings of the 2014 IEEE International Symposium on Information Theory, Honolulu, HI, USA, June 29, 2014

2013

Second Order Asymptotics of Optimal Approximate Conversion for Probability Distributions and Entangled States and Its Application to LOCC Cloning.

Wataru Kumagai, Masahito Hayashi

CoRR, 2013

Second order asymptotics for random number generation.

Wataru Kumagai, Masahito Hayashi

Proceedings of the 2013 IEEE International Symposium on Information Theory, 2013

2007

Toward Separating Integer Factoring from Discrete Logarithm mod <i>p</i>.

Shuji Isobe, Wataru Kumagai, Masahiro Mambo, Hiroki Shizuya

IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2007