Yasuda, Taisuke

12 publications

ICLR 2025 Streaming Algorithms for $\ell_p$ Flows and $\ell_p$ Regression Amit Chakrabarti, Jeffrey Jiang, David Woodruff, Taisuke Yasuda
ICML 2024 Coresets for Multiple $\ell_p$ Regression David Woodruff, Taisuke Yasuda
NeurIPS 2024 John Ellipsoids via Lazy Updates David P. Woodruff, Taisuke Yasuda
ICML 2024 Reweighted Solutions for Weighted Low Rank Approximation David Woodruff, Taisuke Yasuda
NeurIPS 2024 SequentialAttention++ for Block Sparsification: Differentiable Pruning Meets Combinatorial Optimization Taisuke Yasuda, Kyriakos Axiotis, Gang Fu, MohammadHossein Bateni, Vahab Mirrokni
ICLR 2023 Sequential Attention for Feature Selection Taisuke Yasuda, Mohammadhossein Bateni, Lin Chen, Matthew Fahrbach, Gang Fu, Vahab Mirrokni
ICMLW 2023 Sequential Attention for Feature Selection Taisuke Yasuda, Mohammadhossein Bateni, Lin Chen, Matthew Fahrbach, Gang Fu, Vahab Mirrokni
ICML 2023 Sharper Bounds for $\ell_p$ Sensitivity Sampling David Woodruff, Taisuke Yasuda
NeurIPS 2023 Sketching Algorithms for Sparse Dictionary Learning: PTAS and Turnstile Streaming Gregory Dexter, Petros Drineas, David Woodruff, Taisuke Yasuda
ICMLW 2023 Tensor Proxies for Efficient Feature Cross Search Taisuke Yasuda, Mohammadhossein Bateni, Lin Chen, Matthew Fahrbach, Gang Fu
COLT 2021 Exponentially Improved Dimensionality Reduction for L1: Subspace Embeddings and Independence Testing Yi Li, David Woodruff, Taisuke Yasuda
ICML 2019 Tight Kernel Query Complexity of Kernel Ridge Regression and Kernel $k$-Means Clustering Taisuke Yasuda, David Woodruff, Manuel Fernandez