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
13 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
10 2018 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
8 2019 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
5 2023 Hyperlink regression via Bregman divergence A Okuno, H Shimodaira
Neural Networks 126, 362-383, 2020
5 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 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 Minimizing robust density power-based divergences for general parametric density models A Okuno
Annals of the Institute of Statistical Mathematics, 2024
2 * 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
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 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
1 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 A stochastic optimization approach to train non-linear neural networks with a higher-order variation regularization A Okuno
arXiv preprint arXiv:2308.02293, 2023
2023 Dependence of variance on covariate design in nonparametric link regression A Okuno, K Yano
Statistics & Probability Letters 193, 109716, 2023
2023 A Greedy and Optimistic Approach to Clustering with a Specified Uncertainty of Covariates A Okuno, K Hattori
arXiv preprint arXiv:2204.08205, 2022
2022 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 Stochastic Neighbor Embedding of Multimodal Relational Data for Image-Text Simultaneous Visualization M Mizutani, A Okuno, G Kim, H Shimodaira
arXiv preprint arXiv:2005.00670, 2020
2020