| A probabilistic framework for multi-view feature learning with many-to-many associations via neural networks A Okuno, T Hada, H Shimodaira Proceedings of the 35th International Conference on Machine Learning, 3888-3897, 2018 | 14 | 2018 |
| Graph Embedding with Shifted Inner Product Similarity and Its Improved Approximation Capability A Okuno, G Kim, H Shimodaira Proceedings of the 22nd International Conference on Artificial Intelligence …, 2018 | 12 | 2018 |
| Finding r-II Sibling Stars in the Milky Way with the Greedy Optimistic Clustering Algorithm K Hattori, A Okuno, IU Roederer The Astrophysical Journal 946 (1), 48, 2023 | 9 | 2023 |
| Representation Learning with Weighted Inner Product for Universal Approximation of General Similarities G Kim, A Okuno, K Fukui, H Shimodaira Proceedings of the Twenty-Eighth International Joint Conference on …, 2019 | 9 | 2019 |
| Robust Graph Embedding with Noisy Link Weights A Okuno, H Shimodaira Proceedings of the 22nd International Conference on Artificial Intelligence …, 2019 | 9 | 2019 |
| Hyperlink regression via Bregman divergence A Okuno, H Shimodaira Neural Networks 126, 362-383, 2020 | 6 | 2020 |
| Image and tag retrieval by leveraging image-group links with multi-domain graph embedding K Fukui, A Okuno, H Shimodaira 2016 IEEE International Conference on Image Processing (ICIP), 221-225, 2016 | 5 | 2016 |
| Minimizing robust density power-based divergences for general parametric density models A Okuno Annals of the Institute of Statistical Mathematics, 2024 | 4* | 2024 |
| A generalization gap estimation for overparameterized models via the Langevin functional variance A Okuno, K Yano Journal of Computational and Graphical Statistics 32 (4), 1287-1295, 2023 | 3 | 2023 |
| An interpretable neural network-based non-proportional odds model for ordinal regression A Okuno, K Harada Journal of Computational and Graphical Statistics, 1-23, 2024 | 2 | 2024 |
| Minimax analysis for inverse risk in nonparametric planer invertible regression A Okuno, M Imaizumi Electronic Journal of Statistics 18 (1), 355-394, 2024 | 2 | 2024 |
| A stochastic optimization approach to train non-linear neural networks with a higher-order variation regularization A Okuno arXiv preprint arXiv:2308.02293, 2023 | 2 | 2023 |
| Extrapolation Towards Imaginary -Nearest Neighbour and Its Improved Convergence Rate A Okuno, H Shimodaira Advances in Neural Information Processing Systems 33, 21889-21899, 2020 | 2 | 2020 |
| On representation power of neural network-based graph embedding and beyond A Okuno, H Shimodaira ICML 2018 workshop on Theoretical Foundations and Applications of Deep …, 2018 | 2 | 2018 |
| A Greedy and Optimistic Approach to Clustering with a Specified Uncertainty of Covariates A Okuno, K Hattori arXiv preprint arXiv:2204.08205, 2022 | 1 | 2022 |
| An integrated perspective of robustness in regression through the lens of the bias-variance trade-off A Okuno arXiv preprint arXiv:2407.10418, 2024 | | 2024 |
| Autoregressive with Slack Time Series Model for Forecasting a Partially-Observed Dynamical Time Series A Okuno, Y Morishita, Y Mototake IEEE Access 12, 24621-24630, 2024 | | 2024 |
| A multivariate adaptation of direct kernel estimator of density ratio A Okuno arXiv preprint arXiv:2311.12380, 2023 | | 2023 |
| Dependence of variance on covariate design in nonparametric link regression A Okuno, K Yano Statistics & Probability Letters 193, 109716, 2023 | | 2023 |
| Improving Nonparametric Classification via Local Radial Regression with an Application to Stock Prediction R Cao, A Okuno, K Nakagawa, H Shimodaira arXiv preprint arXiv:2112.13951, 2021 | | 2021 |
Hidetoshi ShimodairaKyoto University在 i.kyoto-u.ac.jp 的电子邮件经过验证
