Kentaro Minami
Kentaro Minami
Preferred Networks, Inc.
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Smoothness and stability in gans
C Chu, K Minami, K Fukumizu
arXiv preprint arXiv:2002.04185, 2020
Differential privacy without sensitivity
K Minami, HI Arai, I Sato, H Nakagawa
Advances in Neural Information Processing Systems 29, 2016
Deep portfolio optimization via distributional prediction of residual factors
K Imajo, K Minami, K Ito, K Nakagawa
Proceedings of the AAAI Conference on Artificial Intelligence 35 (1), 213-222, 2021
Trader-company method: a metaheuristic for interpretable stock price prediction
K Ito, K Minami, K Imajo, K Nakagawa
arXiv preprint arXiv:2012.10215, 2020
Estimating piecewise monotone signals
K Minami
Electronic Journal of Statistics 14 (1), 1508-1576, 2020
The equivalence between Stein variational gradient descent and black-box variational inference
C Chu, K Minami, K Fukumizu
arXiv preprint arXiv:2004.01822, 2020
Degrees of freedom in submodular regularization: A computational perspective of Stein’s unbiased risk estimate
K Minami
Journal of Multivariate Analysis 175, 104546, 2020
No-Transaction Band Network: A Neural Network Architecture for Efficient Deep Hedging
S Imaki, K Imajo, K Ito, K Minami, K Nakagawa
arXiv preprint arXiv:2103.01775, 2021
Unified perspective on probability divergence via maximum likelihood density ratio estimation: Bridging KL-divergence and integral probability metrics
M Kato, M Imaizumi, K Minami
arXiv preprint arXiv:2201.13127, 2022
Contrastive Representation Learning with Trainable Augmentation Channel
M Koyama, K Minami, T Miyato, Y Gal
arXiv preprint arXiv:2111.07679, 2021
What Data Augmentation Do We Need for Deep-Learning-Based Finance?
L Ziyin, K Minami, K Imajo
arXiv preprint arXiv:2106.04114, 2021
Theoretically Motivated Data Augmentation and Regularization for Portfolio Construction
L Ziyin, K Minami, K Imajo
Proceedings of the Third ACM International Conference on AI in Finance, 273-281, 2022
Uncertainty Aware Trader-Company Method: Interpretable Stock Price Prediction Capturing Uncertainty
Y Fujimotol, K Nakagawa, K Imajo, K Minami
arXiv preprint arXiv:2210.17030, 2022
Power laws and symmetries in a minimal model of financial market economy
L Ziyin, K Ito, K Imajo, K Minami
Physical Review Research 4 (3), 033077, 2022
Degrees of freedom in submodular regularization
K Minami, F Komaki
IEICE Technical Report; IEICE Tech. Rep. 116 (500), 17-24, 2017
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