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Wataru Kumagai
Wataru Kumagai
Verified email at weblab.t.u-tokyo.ac.jp - Homepage
Title
Cited by
Cited by
Year
Quantum hypothesis testing for quantum Gaussian states: Quantum analogues of chi-square, t and F tests
W Kumagai, M Hayashi
arXiv preprint arXiv:1110.6255, 2011
372011
Entanglement concentration is irreversible
W Kumagai, M Hayashi
Physical Review Letters 111 (13), 130407, 2013
282013
Second-order asymptotics of conversions of distributions and entangled states based on Rayleigh-normal probability distributions
W Kumagai, M Hayashi
IEEE Transactions on Information Theory 63 (3), 1829-1857, 2016
262016
Learning bound for parameter transfer learning
W Kumagai
Advances in neural information processing systems 29, 2016
182016
A characterization of extended monotone metrics
W Kumagai
Linear algebra and its applications 434 (1), 224-231, 2011
182011
Regret analysis for continuous dueling bandit
W Kumagai
Advances in Neural Information Processing Systems 30, 2017
172017
Random number conversion and LOCC conversion via restricted storage
W Kumagai, M Hayashi
IEEE Transactions on Information Theory 63 (4), 2504-2532, 2017
142017
Group equivariant conditional neural processes
M Kawano, W Kumagai, A Sannai, Y Iwasawa, Y Matsuo
arXiv preprint arXiv:2102.08759, 2021
132021
Quantum Hypothesis Testing for Gaussian States: Quantum Analogues of χ2, t-, and F-Tests
W Kumagai, M Hayashi
Communications in Mathematical Physics 318, 535-574, 2013
132013
Asymptotic compatibility between local-operations-and-classical-communication conversion and recovery
K Ito, W Kumagai, M Hayashi
Physical Review A 92 (5), 052308, 2015
112015
Universal approximation theorem for equivariant maps by group cnns
W Kumagai, A Sannai
arXiv preprint arXiv:2012.13882, 2020
102020
Parallel distributed block coordinate descent methods based on pairwise comparison oracle
K Matsui, W Kumagai, T Kanamori
Journal of Global Optimization 69, 1-21, 2017
92017
Uncertainty propagation for dropout-based Bayesian neural networks
Y Mae, W Kumagai, T Kanamori
Neural Networks 144, 394-406, 2021
82021
A new family of probability distributions and asymptotics of classical and locc conversions
W Kumagai, M Hayashi
arXiv preprint arXiv:1306.4166, 2047-2051, 2013
72013
Risk bound of transfer learning using parametric feature mapping and its application to sparse coding
W Kumagai, T Kanamori
Machine Learning 108, 1975-2008, 2019
62019
Spectral embedded deep clustering
Y Wada, S Miyamoto, T Nakagama, L Andéol, W Kumagai, T Kanamori
Entropy 21 (8), 795, 2019
52019
Second order asymptotics for random number generation
W Kumagai, M Hayashi
2013 IEEE International Symposium on Information Theory, 1506-1510, 2013
52013
Random number conversion via restricted storage
W Kumagai, M Hayashi
2014 IEEE International Symposium on Information Theory, 2047-2051, 2014
32014
Asymptotic compatibility between locc conversion and recovery
K Ito, W Kumagai, M Hayashi
arXiv preprint arXiv:1504.02967, 2015
22015
Asymptotics of classical and LOCC conversions and its application to LOCC cloning
W Kumagai, M Hayashi
arXiv preprint arXiv:1306.4166, 2013
22013
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