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ORCIDWataru Kumagai
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2020 – today
- 2024
[j13]Wataru Kumagai, Akiyoshi Sannai, Makoto Kawano:
Universal approximation with neural networks on function spaces. J. Exp. Theor. Artif. Intell. 36(7): 1089-1100 (2024)- [j12]Akiyoshi Sannai, Makoto Kawano, Wataru Kumagai:
Invariant and Equivariant Reynolds Networks. J. Mach. Learn. Res. 25: 42:1-42:36 (2024) - [i18]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 abs/2401.17780 (2024) - [i17]Toshinori Kitamura, Tadashi Kozuno, Wataru Kumagai, Kenta Hoshino, Yohei Hosoe, Kazumi Kasaura, Masashi Hamaya, Paavo Parmas, Yutaka Matsuo:
Near-Optimal Policy Identification in Robust Constrained Markov Decision Processes via Epigraph Form. CoRR abs/2408.16286 (2024) - [i16]Yuya Fujisaki, Shiro Takagi, Hideki Asoh, Wataru Kumagai:
A Dataset for Evaluating LLM-based Evaluation Functions for Research Question Extraction Task. CoRR abs/2409.06883 (2024) - 2023
- [c13]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: 17135-17175 - [c12]Yusuke Yasuda, Hidetoki Kojima, Wataru Kumagai, Kenichi Tamura, Keiichiro Yasuda:
A Switching Normalization Method in Decomposition-based Constraint Handling for Constrained Optimization. SICE 2023: 1555-1562 - [i15]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 abs/2305.13185 (2023) - [i14]Ryutaro Yamauchi, Sho Sonoda, Akiyoshi Sannai, Wataru Kumagai:
LPML: LLM-Prompting Markup Language for Mathematical Reasoning. CoRR abs/2309.13078 (2023) - [i13]Shiro Takagi, Ryutaro Yamauchi, Wataru Kumagai:
Towards Autonomous Hypothesis Verification via Language Models with Minimal Guidance. CoRR abs/2311.09706 (2023) - 2022
- [c11]Shohei Taniguchi, Yusuke Iwasawa, Wataru Kumagai, Yutaka Matsuo:
Langevin Autoencoders for Learning Deep Latent Variable Models. NeurIPS 2022 - [c10]Yusuke Yasuda, Wataru Kumagai, Kenichi Tamura, Keiichiro Yasuda:
MOEA/D with Feasibility-based Weight Adjustment for Constrained Optimization. SSCI 2022: 1560-1566 - [i12]Shohei Taniguchi, Yusuke Iwasawa, Wataru Kumagai, Yutaka Matsuo:
Langevin Autoencoders for Learning Deep Latent Variable Models. CoRR abs/2209.07036 (2022) - 2021
- [j11]Yuki Mae
, Wataru Kumagai, Takafumi Kanamori:
Uncertainty propagation for dropout-based Bayesian neural networks. Neural Networks 144: 394-406 (2021) - [c9]Makoto Kawano, Wataru Kumagai, Akiyoshi Sannai, Yusuke Iwasawa, Yutaka Matsuo:
Group Equivariant Conditional Neural Processes. ICLR 2021 - [i11]Makoto Kawano, Wataru Kumagai, Akiyoshi Sannai, Yusuke Iwasawa, Yutaka Matsuo:
Group Equivariant Conditional Neural Processes. CoRR abs/2102.08759 (2021) - [i10]Akiyoshi Sannai, Makoto Kawano, Wataru Kumagai:
Equivariant and Invariant Reynolds Networks. CoRR abs/2110.08092 (2021) - 2020
- [i9]Wataru Kumagai, Akiyoshi Sannai:
Universal Approximation Theorem for Equivariant Maps by Group CNNs. CoRR abs/2012.13882 (2020)
2010 – 2019
- 2019
- [j10]Yuichiro Wada, Shugo Miyamoto, Takumi Nakagama, Léo Andéol, Wataru Kumagai, Takafumi Kanamori:
Spectral Embedded Deep Clustering. Entropy 21(8): 795 (2019) - [j9]Yuichiro Wada, Siqiang Su, Wataru Kumagai, Takafumi Kanamori:
Robust Label Prediction via Label Propagation and Geodesic k-Nearest Neighbor in Online Semi-Supervised Learning. IEICE Trans. Inf. Syst. 102-D(8): 1537-1545 (2019) - [j8]Wataru Kumagai, Takafumi Kanamori:
Risk bound of transfer learning using parametric feature mapping and its application to sparse coding. Mach. Learn. 108(11): 1975-2008 (2019) - [j7]Kota Matsui, Wataru Kumagai, Kenta Kanamori, Mitsuaki Nishikimi, Takafumi Kanamori:
Variable Selection for Nonparametric Learning with Power Series Kernels. Neural Comput. 31(8): 1718-1750 (2019) - 2018
- [j6]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): 5455 (2018) - [j5]Wataru Kumagai, Masahito Hayashi:
Corrections to "Random Number Conversion and LOCC Conversion via Restricted Storage". IEEE Trans. Inf. Theory 64(8): 5985 (2018) - [c8]Wataru Kumagai:
Introduction to Bandit Convex Optimization Algorithms. ISITA 2018: 36-39 - [c7]Wataru Kumagai, Keiichiro Yasuda:
Particle Swarm Optimization with Rotational Invariance Using Correlativity. SMC 2018: 1201-1208 - [i8]Kota Matsui, Wataru Kumagai, Kenta Kanamori, Mitsuaki Nishikimi, Takafumi Kanamori:
Variable Selection for Nonparametric Learning with Power Series Kernels. CoRR abs/1806.00569 (2018) - 2017
- [j4]Kota Matsui, Wataru Kumagai, Takafumi Kanamori:
Parallel distributed block coordinate descent methods based on pairwise comparison oracle. J. Glob. Optim. 69(1): 1-21 (2017) - [j3]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): 1829-1857 (2017) - [j2]Wataru Kumagai, Masahito Hayashi:
Random Number Conversion and LOCC Conversion via Restricted Storage. IEEE Trans. Inf. Theory 63(4): 2504-2532 (2017) - [c6]Wataru Kumagai:
Regret Analysis for Continuous Dueling Bandit. NIPS 2017: 1489-1498 - [i7]Wataru Kumagai:
Regret Analysis for Continuous Dueling Bandit. CoRR abs/1711.07693 (2017) - 2016
- [c5]Wataru Kumagai:
Learning Bound for Parameter Transfer Learning. NIPS 2016: 2721-2729 - [i6]Wataru Kumagai:
Learning Bound for Parameter Transfer Learning. CoRR abs/1610.08696 (2016) - 2015
- [c4]Wataru Kumagai, Kenichi Tamura, Keiichiro Yasuda:
Search Dynamics Analysis and Adaptive Parameter Adjustment of Cuckoo Search. SMC 2015: 1700-1705 - [i5]Kosuke Ito, Wataru Kumagai, Masahito Hayashi:
Asymptotic Compatibility between LOCC Conversion and Recovery. CoRR abs/1504.02967 (2015) - 2014
- [c3]Kosuke Ito, Wataru Kumagai, Masahito Hayashi:
Asymptotic reversibility of LOCC conversions. ISIT 2014: 531-535 - [c2]Wataru Kumagai, Masahito Hayashi:
Random number conversion via restricted storage. ISIT 2014: 2047-2051 - [i4]Wataru Kumagai, Masahito Hayashi:
Random Number Conversion and LOCC Conversion via Restricted Storage. CoRR abs/1401.3781 (2014) - [i3]Kota Matsui, Wataru Kumagai, Takafumi Kanamori:
Parallel Distributed Block Coordinate Descent Methods based on Pairwise Comparison Oracle. CoRR abs/1409.3912 (2014) - 2013
- [c1]Wataru Kumagai, Masahito Hayashi:
Second order asymptotics for random number generation. ISIT 2013: 1506-1510 - [i2]Wataru Kumagai, Masahito Hayashi:
Second Order Asymptotics for Random Number Generation. CoRR abs/1303.0669 (2013) - [i1]Wataru Kumagai, Masahito Hayashi:
Second Order Asymptotics of Optimal Approximate Conversion for Probability Distributions and Entangled States and Its Application to LOCC Cloning. CoRR abs/1306.4166 (2013)
2000 – 2009
- 2007
- [j1]Shuji Isobe, Wataru Kumagai, Masahiro Mambo, Hiroki Shizuya:
Toward Separating Integer Factoring from Discrete Logarithm mod p. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 90-A(1): 48-53 (2007)
Coauthor Index
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