Akifumi Okuno

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 23

Top Topics

Graph Embedding

Bregman Divergences

Top Venues

J. Comput. Graph. Stat.

Publications

Akifumi Okuno
An integrated perspective of robustness in regression through the lens of the bias-variance trade-off. CoRR (2024)
Akifumi Okuno, Yuya Morishita, Yoh-ichi Mototake
Autoregressive With Slack Time Series Model for Forecasting a Partially-Observed Dynamical Time Series. IEEE Access 12 (2024)
Akifumi Okuno, Keisuke Yano
A Generalization Gap Estimation for Overparameterized Models via the Langevin Functional Variance. J. Comput. Graph. Stat. 32 (4) (2023)
Akifumi Okuno, Yuya Morishita, Yoh-ichi Mototake
Forecasting of the development of a partially-observed dynamical time series with the aid of time-invariance and linearity. CoRR (2023)
Akifumi Okuno, Kazuharu Harada
An interpretable neural network-based non-proportional odds model for ordinal regression with continuous response. CoRR (2023)
Akifumi Okuno
A stochastic optimization approach to train non-linear neural networks with a higher-order variation regularization. CoRR (2023)
Akifumi Okuno, Kohei Hattori
A Greedy and Optimistic Approach to Clustering with a Specified Uncertainty of Covariates. CoRR (2022)
Ruixing Cao, Akifumi Okuno, Kei Nakagawa, Hidetoshi Shimodaira
Improving Nonparametric Classification via Local Radial Regression with an Application to Stock Prediction. CoRR (2021)
Akifumi Okuno, Keisuke Yano
A generalization gap estimation for overparameterized models via Langevin functional variance. CoRR (2021)
Akifumi Okuno, Hidetoshi Shimodaira
Hyperlink regression via Bregman divergence. Neural Networks 126 (2020)
Morihiro Mizutani, Akifumi Okuno, Geewook Kim, Hidetoshi Shimodaira
Stochastic Neighbor Embedding of Multimodal Relational Data for Image-Text Simultaneous Visualization. CoRR (2020)
Akifumi Okuno, Hidetoshi Shimodaira
Extrapolation Towards Imaginary 0-Nearest Neighbour and Its Improved Convergence Rate. CoRR (2020)
Akifumi Okuno, Hidetoshi Shimodaira
Extrapolation Towards Imaginary 0-Nearest Neighbour and Its Improved Convergence Rate. NeurIPS (2020)
Akifumi Okuno, Hidetoshi Shimodaira
Robust Graph Embedding with Noisy Link Weights. CoRR (2019)
Akifumi Okuno, Geewook Kim, Hidetoshi Shimodaira
Graph Embedding with Shifted Inner Product Similarity and Its Improved Approximation Capability. AISTATS (2019)
Akifumi Okuno, Hidetoshi Shimodaira
Robust Graph Embedding with Noisy Link Weights. AISTATS (2019)
Geewook Kim, Akifumi Okuno, Kazuki Fukui, Hidetoshi Shimodaira
Representation Learning with Weighted Inner Product for Universal Approximation of General Similarities. CoRR (2019)
Akifumi Okuno, Hidetoshi Shimodaira
Hyperlink Regression via Bregman Divergence. CoRR (2019)
Geewook Kim, Akifumi Okuno, Kazuki Fukui, Hidetoshi Shimodaira
Representation Learning with Weighted Inner Product for Universal Approximation of General Similarities. IJCAI (2019)
Akifumi Okuno, Geewook Kim, Hidetoshi Shimodaira
Graph Embedding with Shifted Inner Product Similarity and Its Improved Approximation Capability. CoRR (2018)
Akifumi Okuno, Hidetoshi Shimodaira
On representation power of neural network-based graph embedding and beyond. CoRR (2018)
Akifumi Okuno, Tetsuya Hada, Hidetoshi Shimodaira
A probabilistic framework for multi-view feature learning with many-to-many associations via neural networks. ICML (2018)
Kazuki Fukui, Akifumi Okuno, Hidetoshi Shimodaira
Image and tag retrieval by leveraging image-group links with multi-domain graph embedding. ICIP (2016)