| Smoothness and stability in gans C Chu, K Minami, K Fukumizu arXiv preprint arXiv:2002.04185, 2020 | 47 | 2020 |
| Differential privacy without sensitivity K Minami, HI Arai, I Sato, H Nakagawa Advances in Neural Information Processing Systems 29, 2016 | 46 | 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 | 14 | 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 | 11 | 2020 |
| Estimating piecewise monotone signals K Minami Electronic Journal of Statistics 14 (1), 1508-1576, 2020 | 8 | 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 | 7 | 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 | 6 | 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 | 2 | 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 | 1 | 2022 |
| Contrastive Representation Learning with Trainable Augmentation Channel M Koyama, K Minami, T Miyato, Y Gal arXiv preprint arXiv:2111.07679, 2021 | 1 | 2021 |
| What Data Augmentation Do We Need for Deep-Learning-Based Finance? L Ziyin, K Minami, K Imajo arXiv preprint arXiv:2106.04114, 2021 | 1 | 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 | | 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 | | 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 | | 2022 |
| Degrees of freedom in submodular regularization K Minami, F Komaki IEICE Technical Report; IEICE Tech. Rep. 116 (500), 17-24, 2017 | | 2017 |
