Ida, Yasutoshi

16 publications

ECML-PKDD 2025 Fast Proximal Gradient Methods with Node Pruning for Tree-Structured Sparse Regularization Yasutoshi Ida, Sekitoshi Kanai, Atsutoshi Kumagai, Tomoharu Iwata, Yasuhiro Fujiwara

AISTATS 2025 Meta-Learning Task-Specific Regularization Weights for Few-Shot Linear Regression Tomoharu Iwata, Atsutoshi Kumagai, Yasutoshi Ida

NeurIPS 2024 Fast Iterative Hard Thresholding Methods with Pruning Gradient Computations Yasutoshi Ida, Sekitoshi Kanai, Atsutoshi Kumagai, Tomoharu Iwata, Yasuhiro Fujiwara

AISTATS 2023 Fast Block Coordinate Descent for Non-Convex Group Regularizations Yasutoshi Ida, Sekitoshi Kanai, Atsutoshi Kumagai

AAAI 2023 Fast Regularized Discrete Optimal Transport with Group-Sparse Regularizers Yasutoshi Ida, Sekitoshi Kanai, Kazuki Adachi, Atsutoshi Kumagai, Yasuhiro Fujiwara

AAAI 2023 Fast Saturating Gate for Learning Long Time Scales with Recurrent Neural Networks Kentaro Ohno, Sekitoshi Kanai, Yasutoshi Ida

ICML 2023 One-vs-the-REST Loss to Focus on Important Samples in Adversarial Training Sekitoshi Kanai, Shin’Ya Yamaguchi, Masanori Yamada, Hiroshi Takahashi, Kentaro Ohno, Yasutoshi Ida

NeurIPS 2022 Few-Shot Learning for Feature Selection with Hilbert-Schmidt Independence Criterion Atsutoshi Kumagai, Tomoharu Iwata, Yasutoshi Ida, Yasuhiro Fujiwara

NeurIPS 2022 Meta-Ticket: Finding Optimal Subnetworks for Few-Shot Learning Within Randomly Initialized Neural Networks Daiki Chijiwa, Shin'ya Yamaguchi, Atsutoshi Kumagai, Yasutoshi Ida

NeurIPS 2021 Pruning Randomly Initialized Neural Networks with Iterative Randomization Daiki Chijiwa, Shin'ya Yamaguchi, Yasutoshi Ida, Kenji Umakoshi, Tomohiro Inoue

AAAI 2020 Absum: Simple Regularization Method for Reducing Structural Sensitivity of Convolutional Neural Networks Sekitoshi Kanai, Yasutoshi Ida, Yasuhiro Fujiwara, Masanori Yamada, Shuichi Adachi

ICML 2020 Fast Deterministic CUR Matrix Decomposition with Accuracy Assurance Yasutoshi Ida, Sekitoshi Kanai, Yasuhiro Fujiwara, Tomoharu Iwata, Koh Takeuchi, Hisashi Kashima

AAAI 2019 Efficient Data Point Pruning for One-Class SVM Yasuhiro Fujiwara, Sekitoshi Kanai, Junya Arai, Yasutoshi Ida, Naonori Ueda

NeurIPS 2019 Fast Sparse Group Lasso Yasutoshi Ida, Yasuhiro Fujiwara, Hisashi Kashima

IJCAI 2017 Adaptive Learning Rate via Covariance Matrix Based Preconditioning for Deep Neural Networks Yasutoshi Ida, Yasuhiro Fujiwara, Sotetsu Iwamura

AAAI 2016 Fast Lasso Algorithm via Selective Coordinate Descent Yasuhiro Fujiwara, Yasutoshi Ida, Hiroaki Shiokawa, Sotetsu Iwamura