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David P. Woodruff
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Publications
- 2024
- [c279]Yi Li, Honghao Lin, David P. Woodruff:
Optimal Sketching for Residual Error Estimation for Matrix and Vector Norms. ICLR 2024 - [i215]Yi Li, Honghao Lin, David P. Woodruff:
Optimal Sketching for Residual Error Estimation for Matrix and Vector Norms. CoRR abs/2408.08494 (2024) - 2023
- [c255]Yi Li, Honghao Lin, David P. Woodruff:
ℓp-Regression in the Arbitrary Partition Model of Communication. COLT 2023: 4902-4928 - [c251]Yi Li, Honghao Lin, Simin Liu, Ali Vakilian, David P. Woodruff:
Learning the Positions in CountSketch. ICLR 2023 - [c238]Yi Li, Honghao Lin, David P. Woodruff:
The ℓp-Subspace Sketch Problem in Small Dimensions with Applications to Support Vector Machines. SODA 2023: 850-877 - [i193]Yi Li, Honghao Lin, Simin Liu, Ali Vakilian, David P. Woodruff:
Learning the Positions in CountSketch. CoRR abs/2306.06611 (2023) - [i191]Yi Li, Honghao Lin, David P. Woodruff:
𝓁p-Regression in the Arbitrary Partition Model of Communication. CoRR abs/2307.05117 (2023) - 2022
- [c232]Yi Li
, Honghao Lin, David P. Woodruff, Yuheng Zhang:
Streaming Algorithms with Large Approximation Factors. APPROX/RANDOM 2022: 13:1-13:23 - [i178]Yi Li, David P. Woodruff:
Tight Bounds for Sketching the Operator Norm, Schatten Norms, and Subspace Embeddings. CoRR abs/2202.09797 (2022) - [i166]Yi Li, Honghao Lin, David P. Woodruff, Yuheng Zhang:
Streaming Algorithms with Large Approximation Factors. CoRR abs/2207.08075 (2022) - [i161]Yi Li, Honghao Lin, David P. Woodruff:
The 𝓁p-Subspace Sketch Problem in Small Dimensions with Applications to Support Vector Machines. CoRR abs/2211.07132 (2022) - 2021
- [j31]Yi Li
, Ruosong Wang, David P. Woodruff:
Tight Bounds for the Subspace Sketch Problem with Applications. SIAM J. Comput. 50(4): 1287-1335 (2021) - [c208]Yi Li, David P. Woodruff:
The Product of Gaussian Matrices Is Close to Gaussian. APPROX-RANDOM 2021: 35:1-35:22 - [c205]Yi Li, David P. Woodruff, Taisuke Yasuda:
Exponentially Improved Dimensionality Reduction for l1: Subspace Embeddings and Independence Testing. COLT 2021: 3111-3195 - [c196]Yifei Jiang, Yi Li, Yiming Sun, Jiaxin Wang, David P. Woodruff:
Single Pass Entrywise-Transformed Low Rank Approximation. ICML 2021: 4982-4991 - [i158]Yi Li, Honghao Lin, David P. Woodruff:
Learning-Augmented Sketches for Hessians. CoRR abs/2102.12317 (2021) - [i157]Yi Li, David P. Woodruff, Taisuke Yasuda:
Exponentially Improved Dimensionality Reduction for 𝓁1: Subspace Embeddings and Independence Testing. CoRR abs/2104.12946 (2021) - [i145]Yifei Jiang, Yi Li, Yiming Sun, Jiaxin Wang, David P. Woodruff:
Single Pass Entrywise-Transformed Low Rank Approximation. CoRR abs/2107.07889 (2021) - [i142]Yi Li, David P. Woodruff:
The Product of Gaussian Matrices is Close to Gaussian. CoRR abs/2108.09887 (2021) - 2020
- [c182]Alexandr Andoni, Collin Burns, Yi Li
, Sepideh Mahabadi, David P. Woodruff:
Streaming Complexity of SVMs. APPROX-RANDOM 2020: 50:1-50:22 - [c176]Tanqiu Jiang
, Yi Li, Honghao Lin, Yisong Ruan, David P. Woodruff:
Learning-Augmented Data Stream Algorithms. ICLR 2020 - [c175]Yi Li, David P. Woodruff:
Input-Sparsity Low Rank Approximation in Schatten Norm. ICML 2020: 6001-6009 - [c166]Yi Li, Ruosong Wang, David P. Woodruff:
Tight Bounds for the Subspace Sketch Problem with Applications. SODA 2020: 1655-1674 - [i130]Yi Li, David P. Woodruff:
Input-Sparsity Low Rank Approximation in Schatten Norm. CoRR abs/2004.12646 (2020) - [i127]Alexandr Andoni, Collin Burns, Yi Li, Sepideh Mahabadi, David P. Woodruff:
Streaming Complexity of SVMs. CoRR abs/2007.03633 (2020) - 2019
- [j25]Yi Li
, Huy L. Nguyen, David P. Woodruff:
On Approximating Matrix Norms in Data Streams. SIAM J. Comput. 48(6): 1643-1697 (2019) - [c138]Maria-Florina Balcan, Yi Li, David P. Woodruff, Hongyang Zhang:
Testing Matrix Rank, Optimally. SODA 2019: 727-746 - [i112]Yi Li, Ruosong Wang, David P. Woodruff:
Tight Bounds for the Subspace Sketch Problem with Applications. CoRR abs/1904.05543 (2019) - 2018
- [c131]Yi Li
, Vasileios Nakos, David P. Woodruff:
On Low-Risk Heavy Hitters and Sparse Recovery Schemes. APPROX-RANDOM 2018: 19:1-19:13 - [c125]Vladimir Braverman, Stephen R. Chestnut, Robert Krauthgamer, Yi Li, David P. Woodruff, Lin F. Yang
:
Matrix Norms in Data Streams: Faster, Multi-Pass and Row-Order. ICML 2018: 648-657 - [i75]Maria-Florina Balcan, Yi Li, David P. Woodruff, Hongyang Zhang:
Testing Matrix Rank, Optimally. CoRR abs/1810.08171 (2018) - 2017
- [c110]Yi Li
, David P. Woodruff:
Embeddings of Schatten Norms with Applications to Data Streams. ICALP 2017: 60:1-60:14 - [i70]Yi Li, David P. Woodruff:
Embeddings of Schatten Norms with Applications to Data Streams. CoRR abs/1702.05626 (2017) - [i62]Yi Li, Vasileios Nakos, David P. Woodruff:
On Low-Risk Heavy Hitters and Sparse Recovery Schemes. CoRR abs/1709.02919 (2017) - 2016
- [c101]Yi Li
, David P. Woodruff:
Tight Bounds for Sketching the Operator Norm, Schatten Norms, and Subspace Embeddings. APPROX-RANDOM 2016: 39:1-39:11 - [c100]Yuqing Ai, Wei Hu, Yi Li
, David P. Woodruff:
New Characterizations in Turnstile Streams with Applications. CCC 2016: 20:1-20:22 - [c84]Yi Li
, David P. Woodruff:
On approximating functions of the singular values in a stream. STOC 2016: 726-739 - [i50]Yi Li, David P. Woodruff:
On Approximating Functions of the Singular Values in a Stream. CoRR abs/1604.08679 (2016) - 2014
- [c73]Yi Li
, Zhengyu Wang, David P. Woodruff:
Improved testing of low rank matrices. KDD 2014: 691-700 - [c65]Yi Li, Huy L. Nguyen, David P. Woodruff:
On Sketching Matrix Norms and the Top Singular Vector. SODA 2014: 1562-1581 - [c64]Yi Li
, Huy L. Nguyen, David P. Woodruff:
Turnstile streaming algorithms might as well be linear sketches. STOC 2014: 174-183 - [c62]Yi Li, Xiaoming Sun, Chengu Wang, David P. Woodruff:
On the Communication Complexity of Linear Algebraic Problems in the Message Passing Model. DISC 2014: 499-513 - [i30]Yi Li, Xiaoming Sun, Chengu Wang, David P. Woodruff:
On The Communication Complexity of Linear Algebraic Problems in the Message Passing Model. CoRR abs/1407.4755 (2014) - 2013
- [c61]Yi Li
, David P. Woodruff:
A Tight Lower Bound for High Frequency Moment Estimation with Small Error. APPROX-RANDOM 2013: 623-638
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