Akifumi Okuno
Orcid: 0000-0001-9621-8853
According to our database1,
Akifumi Okuno
authored at least 18 papers
between 2016 and 2024.
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Bibliography
2024
An integrated perspective of robustness in regression through the lens of the bias-variance trade-off.
CoRR, 2024
Autoregressive With Slack Time Series Model for Forecasting a Partially-Observed Dynamical Time Series.
IEEE Access, 2024
2023
A Generalization Gap Estimation for Overparameterized Models via the Langevin Functional Variance.
J. Comput. Graph. Stat., 2023
A stochastic optimization approach to train non-linear neural networks with a higher-order variation regularization.
CoRR, 2023
Forecasting of the development of a partially-observed dynamical time series with the aid of time-invariance and linearity.
CoRR, 2023
An interpretable neural network-based non-proportional odds model for ordinal regression with continuous response.
CoRR, 2023
2022
A Greedy and Optimistic Approach to Clustering with a Specified Uncertainty of Covariates.
CoRR, 2022
2021
Improving Nonparametric Classification via Local Radial Regression with an Application to Stock Prediction.
CoRR, 2021
2020
Stochastic Neighbor Embedding of Multimodal Relational Data for Image-Text Simultaneous Visualization.
CoRR, 2020
Extrapolation Towards Imaginary 0-Nearest Neighbour and Its Improved Convergence Rate.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
2019
Representation Learning with Weighted Inner Product for Universal Approximation of General Similarities.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019
Graph Embedding with Shifted Inner Product Similarity and Its Improved Approximation Capability.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019
2018
CoRR, 2018
A probabilistic framework for multi-view feature learning with many-to-many associations via neural networks.
Proceedings of the 35th International Conference on Machine Learning, 2018
2016
Image and tag retrieval by leveraging image-group links with multi-domain graph embedding.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016