Sample-Optimal Low-Rank Approximation of Distance Matrices

Sample-Optimal Low-Rank Approximation of Distance Matrices

2 June 2019

David P. Woodruff

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Papers citing "Sample-Optimal Low-Rank Approximation of Distance Matrices"

17 / 17 papers shown

Title
Adaptive Retrieval and Scalable Indexing for k-NN Search with Cross-Encoders Nishant Yadav Nicholas Monath Manzil Zaheer Rob Fergus Andrew McCallum CML RALM 69 1 0 06 May 2024
Invariance Measures for Neural Networks F. Quiroga J. Torrents-Barrena Laura Lanzarini Domenec Puig-Valls 31 4 0 26 Oct 2023
Unbalanced Low-rank Optimal Transport Solvers M. Scetbon Michal Klein Giovanni Palla Marco Cuturi OT 80 5 0 31 May 2023
Krylov Methods are (nearly) Optimal for Low-Rank Approximation Ainesh Bakshi Shyam Narayanan 58 7 0 06 Apr 2023
Sub-quadratic Algorithms for Kernel Matrices via Kernel Density Estimation Ainesh Bakshi Piotr Indyk Praneeth Kacham Sandeep Silwal Samson Zhou 104 4 0 01 Dec 2022
Dynamic Tensor Product Regression Aravind Reddy Zhao Song Licheng Zhang 97 22 0 08 Oct 2022
Generalization Bounds for Data-Driven Numerical Linear Algebra Peter L. Bartlett Piotr Indyk Tal Wagner 95 15 0 16 Jun 2022
$Low-Rank Approximation with $1/ε^{1/3}$ Matrix-Vector Products$ Low-Rank Approximation with $1/ε^{1/3}$ Matrix-Vector Products Ainesh Bakshi K. Clarkson David P. Woodruff 73 16 0 10 Feb 2022
Sublinear Time Approximation of Text Similarity Matrices Archan Ray Nicholas Monath Andrew McCallum Cameron Musco 62 7 0 17 Dec 2021
Linear-Time Gromov Wasserstein Distances using Low Rank Couplings and Costs M. Scetbon Gabriel Peyré Marco Cuturi OT 71 61 0 02 Jun 2021
Low-Rank Sinkhorn Factorization M. Scetbon Marco Cuturi Gabriel Peyré 90 59 0 08 Mar 2021
Faster Kernel Matrix Algebra via Density Estimation A. Backurs Piotr Indyk Cameron Musco Tal Wagner 70 8 0 16 Feb 2021
Quantum-Inspired Algorithms from Randomized Numerical Linear Algebra Nadiia Chepurko K. Clarkson L. Horesh Honghao Lin David P. Woodruff 60 24 0 09 Nov 2020
Sketching Transformed Matrices with Applications to Natural Language Processing Yingyu Liang Zhao Song Mengdi Wang Lin F. Yang Xin Yang 129 4 0 23 Feb 2020
Block-Approximated Exponential Random Graphs Florian Adriaens Alexandru Mara Jefrey Lijffijt T. D. Bie 47 3 0 14 Feb 2020
Robust and Sample Optimal Algorithms for PSD Low-Rank Approximation Ainesh Bakshi Nadiia Chepurko David P. Woodruff 62 20 0 09 Dec 2019
Optimal Sketching for Kronecker Product Regression and Low Rank Approximation H. Diao Rajesh Jayaram Zhao Song Wen Sun David P. Woodruff 76 45 0 29 Sep 2019