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David P. Woodruff

Carnegie Mellon University

Fast Sketching of Polynomial Kernels of Polynomial Degree


Aug 21, 2021
Zhao Song, David P. Woodruff, Zheng Yu, Lichen Zhang

* ICML 2021 

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Near-Optimal Algorithms for Linear Algebra in the Current Matrix Multiplication Time


Jul 16, 2021
Nadiia Chepurko, Kenneth L. Clarkson, Praneeth Kacham, David P. Woodruff


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Single Pass Entrywise-Transformed Low Rank Approximation


Jul 16, 2021
Yifei Jiang, Yi Li, Yiming Sun, Jiaxin Wang, David P. Woodruff

* Accepted to ICML 2021 

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Average-Case Communication Complexity of Statistical Problems


Jul 03, 2021
Cyrus Rashtchian, David P. Woodruff, Peng Ye, Hanlin Zhu

* 28 pages. Conference on Learning Theory (COLT), 2021 

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Non-PSD Matrix Sketching with Applications to Regression and Optimization


Jun 16, 2021
Zhili Feng, Fred Roosta, David P. Woodruff


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Learning a Latent Simplex in Input-Sparsity Time


May 17, 2021
Ainesh Bakshi, Chiranjib Bhattacharyya, Ravi Kannan, David P. Woodruff, Samson Zhou

* ICLR 2021 

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Learning-Augmented Sketches for Hessians


Feb 24, 2021
Yi Li, Honghao Lin, David P. Woodruff


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Revisiting the Sample Complexity of Sparse Spectrum Approximation of Gaussian Processes


Nov 17, 2020
Quang Minh Hoang, Trong Nghia Hoang, Hai Pham, David P. Woodruff


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Hutch++: Optimal Stochastic Trace Estimation


Nov 12, 2020
Raphael A. Meyer, Cameron Musco, Christopher Musco, David P. Woodruff

* To appears in SIAM Symposium on Simplicity in Algorithms (SOSA21) 

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Quantum-Inspired Algorithms from Randomized Numerical Linear Algebra


Nov 12, 2020
Nadiia Chepurko, Kenneth L. Clarkson, Lior Horesh, David P. Woodruff

* Bibliographic edits 

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WOR and $p$'s: Sketches for $\ell_p$-Sampling Without Replacement


Aug 15, 2020
Edith Cohen, Rasmus Pagh, David P. Woodruff

* 21 pages. Added references in related work in the introduction 

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Optimal $\ell_1$ Column Subset Selection and a Fast PTAS for Low Rank Approximation


Jul 20, 2020
Arvind V. Mahankali, David P. Woodruff


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On Learned Sketches for Randomized Numerical Linear Algebra


Jul 20, 2020
Simin Liu, Tianrui Liu, Ali Vakilian, Yulin Wan, David P. Woodruff

* 43 pages, 13 tables 

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Streaming Complexity of SVMs


Jul 07, 2020
Alexandr Andoni, Collin Burns, Yi Li, Sepideh Mahabadi, David P. Woodruff

* APPROX 2020 

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Vector-Matrix-Vector Queries for Solving Linear Algebra, Statistics, and Graph Problems


Jun 24, 2020
Cyrus Rashtchian, David P. Woodruff, Hanlin Zhu

* 26 pages, to be published in RANDOM 2020 

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Approximation Algorithms for Sparse Principal Component Analysis


Jun 23, 2020
Agniva Chowdhury, Petros Drineas, David P. Woodruff, Samson Zhou


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Non-Adaptive Adaptive Sampling on Turnstile Streams


Apr 23, 2020
Sepideh Mahabadi, Ilya Razenshteyn, David P. Woodruff, Samson Zhou

* To appear at STOC 2020 

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Average Case Column Subset Selection for Entrywise $\ell_1$-Norm Loss


Apr 16, 2020
Zhao Song, David P. Woodruff, Peilin Zhong

* NeurIPS 2019 

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LSF-Join: Locality Sensitive Filtering for Distributed All-Pairs Set Similarity Under Skew


Mar 06, 2020
Cyrus Rashtchian, Aneesh Sharma, David P. Woodruff

* WWW (The Web Conference) 2020 

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Robust and Sample Optimal Algorithms for PSD Low-Rank Approximation


Jan 02, 2020
Ainesh Bakshi, Nadiia Chepurko, David P. Woodruff

* updating abstract 

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Sublinear Time Numerical Linear Algebra for Structured Matrices


Dec 12, 2019
Xiaofei Shi, David P. Woodruff


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Optimal Sketching for Kronecker Product Regression and Low Rank Approximation


Sep 29, 2019
Huaian Diao, Rajesh Jayaram, Zhao Song, Wen Sun, David P. Woodruff

* A preliminary version of this paper appeared in NeurIPS 2019 

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Total Least Squares Regression in Input Sparsity Time


Sep 27, 2019
Huaian Diao, Zhao Song, David P. Woodruff, Xin Yang


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The Communication Complexity of Optimization


Jun 13, 2019
Santosh S. Vempala, Ruosong Wang, David P. Woodruff


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Tight Kernel Query Complexity of Kernel Ridge Regression and Kernel $k$-means Clustering


May 15, 2019
Manuel Fernandez, David P. Woodruff, Taisuke Yasuda

* 27 pages, to appear in ICML 2019 

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