Akifumi Okuno - RankMe

26 papers A* 3A 2B 1Journal 19

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Algebraic Approach to Ridge-Regularized Mean Squared Error Minimization in Minimal ReLU Neural Network. CoRR Ryoya Fukasaku, Yutaro Kabata, Akifumi Okuno
2024	J	`jnl`	An Interpretable Neural Network-based Nonproportional Odds Model for Ordinal Regression. J. Comput. Graph. Stat. Akifumi Okuno, Kazuharu Harada
2024	J	`jnl`	An integrated perspective of robustness in regression through the lens of the bias-variance trade-off. CoRR Akifumi Okuno
2024	J	`jnl`	Autoregressive With Slack Time Series Model for Forecasting a Partially-Observed Dynamical Time Series. IEEE Access Akifumi Okuno, Yuya Morishita, Yoh-ichi Mototake
2023	J	`jnl`	A Generalization Gap Estimation for Overparameterized Models via the Langevin Functional Variance. J. Comput. Graph. Stat. Akifumi Okuno, Keisuke Yano
2023	J	`jnl`	A stochastic optimization approach to train non-linear neural networks with a higher-order variation regularization. CoRR Akifumi Okuno
2023	J	`jnl`	An interpretable neural network-based non-proportional odds model for ordinal regression with continuous response. CoRR Akifumi Okuno, Kazuharu Harada
2023	J	`jnl`	Forecasting of the development of a partially-observed dynamical time series with the aid of time-invariance and linearity. CoRR Akifumi Okuno, Yuya Morishita, Yoh-ichi Mototake
2022	J	`jnl`	A Greedy and Optimistic Approach to Clustering with a Specified Uncertainty of Covariates. CoRR Akifumi Okuno, Kohei Hattori
2021	J	`jnl`	A generalization gap estimation for overparameterized models via Langevin functional variance. CoRR Akifumi Okuno, Keisuke Yano
2021	J	`jnl`	Improving Nonparametric Classification via Local Radial Regression with an Application to Stock Prediction. CoRR Ruixing Cao, Akifumi Okuno, Kei Nakagawa, Hidetoshi Shimodaira
2020	A*	`conf`	Extrapolation Towards Imaginary 0-Nearest Neighbour and Its Improved Convergence Rate. NeurIPS Akifumi Okuno, Hidetoshi Shimodaira
2020	J	`jnl`	Extrapolation Towards Imaginary 0-Nearest Neighbour and Its Improved Convergence Rate. CoRR Akifumi Okuno, Hidetoshi Shimodaira
2020	J	`jnl`	Hyperlink regression via Bregman divergence. Neural Networks Akifumi Okuno, Hidetoshi Shimodaira
2020	J	`jnl`	Stochastic Neighbor Embedding of Multimodal Relational Data for Image-Text Simultaneous Visualization. CoRR Morihiro Mizutani, Akifumi Okuno, Geewook Kim, Hidetoshi Shimodaira
2020	—	`—`	Studies on Neural Network-Based Graph Embedding and Its Extensions. Akifumi Okuno
2019	A	`conf`	Graph Embedding with Shifted Inner Product Similarity and Its Improved Approximation Capability. AISTATS Akifumi Okuno, Geewook Kim, Hidetoshi Shimodaira
2019	J	`jnl`	Hyperlink Regression via Bregman Divergence. CoRR Akifumi Okuno, Hidetoshi Shimodaira
2019	A*	`conf`	Representation Learning with Weighted Inner Product for Universal Approximation of General Similarities. IJCAI Geewook Kim, Akifumi Okuno, Kazuki Fukui, Hidetoshi Shimodaira
2019	J	`jnl`	Representation Learning with Weighted Inner Product for Universal Approximation of General Similarities. CoRR Geewook Kim, Akifumi Okuno, Kazuki Fukui, Hidetoshi Shimodaira
2019	A	`conf`	Robust Graph Embedding with Noisy Link Weights. AISTATS Akifumi Okuno, Hidetoshi Shimodaira
2019	J	`jnl`	Robust Graph Embedding with Noisy Link Weights. CoRR Akifumi Okuno, Hidetoshi Shimodaira
2018	A*	`conf`	A probabilistic framework for multi-view feature learning with many-to-many associations via neural networks. ICML Akifumi Okuno, Tetsuya Hada, Hidetoshi Shimodaira
2018	J	`jnl`	Graph Embedding with Shifted Inner Product Similarity and Its Improved Approximation Capability. CoRR Akifumi Okuno, Geewook Kim, Hidetoshi Shimodaira
2018	J	`jnl`	On representation power of neural network-based graph embedding and beyond. CoRR Akifumi Okuno, Hidetoshi Shimodaira
2016	B	`conf`	Image and tag retrieval by leveraging image-group links with multi-domain graph embedding. ICIP Kazuki Fukui, Akifumi Okuno, Hidetoshi Shimodaira