Fellows
/Senior Distinguished
Researchers
/Distinguished
Researchers
- Distinguished Researcher
Yasutoshi Ida
- NTT Computer and Data Science Laboratories
- Distinguished Researcher
More Distinguished Researchers
- AI
More researchers on the field
- Computer & Data Science Laboratories
More researchers belonging to the lab/center/dept
Fast and Accurate Sparse Modeling for High-dimensional Data
We develop algorithms for sparse modeling that efficiently process high-dimensional data without degrading accuracy.
In this page
Publications
Selected Papers
- Yasutoshi Ida, Yasuhiro Fujiwara, Sotetsu Iwamura, "Adaptive Learning Rate via Covariance Matrix Based Preconditioning for Deep Neural Networks", International Joint Conference on Artificial Intelligence (IJCAI), 2017.
- Yasutoshi Ida, Yasuhiro Fujiwara, Hisashi Kashima, "Fast Sparse Group Lasso", Neural Information Processing Systems (NeurIPS), 2019.
- Yasutoshi Ida, Sekitoshi Kanai, Yasuhiro Fujiwara, Tomoharu Iwata, Koh Takeuchi, Hisashi Kashima, "Fast Deterministic CUR Matrix Decomposition with Accuracy Assurance", International Conference on Machine Learning (ICML), 2020.
- Yasutoshi Ida, Sekitoshi Kanai, Kazuki Adachi, Atsutoshi Kumagai, Yasuhiro Fujiwara, "Fast Regularized Discrete Optimal Transport with Group-Sparse Regularizers", AAAI Conference on Artificial Intelligence (AAAI), 2023.
- Yasutoshi Ida, Sekitoshi Kanai, Atsutoshi Kumagai, "Fast Block Coordinate Descent for Non-Convex Group Regularizations", International Conference on Artificial Intelligence and Statistics (AISTATS), 2023.
- Yasutoshi Ida, Sekitoshi Kanai, Atsutoshi Kumagai, Tomoharu Iwata, Yasuhiro Fujiwara, "Fast Iterative Hard Thresholding Methods with Pruning Gradient Computations", Neural Information Processing Systems (NeurIPS), 2024.
Academic Activities
- PAKDD2023 Registration Chair (2023)
Visiting Professor
- Guest lecturer, Suwa University of Science, Japan (2016 - 2018)
Keywords
AI, Machine Learning, Data Mining, Sparse Modeling, Optimal Transport, Deep Learning