The gradient complexity of linear regression

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The gradient complexity of linear regression

6 November 2019

Max Simchowitz

Blake E. Woodworth

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Papers citing "The gradient complexity of linear regression"

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Title
Sharper Bounds for Chebyshev Moment Matching, with Applications Cameron Musco Christopher Musco Lucas Rosenblatt A. Singh FedML 92 1 0 22 Aug 2024
Fine-grained Analysis and Faster Algorithms for Iteratively Solving Linear Systems Michal Dereziñski Daniel LeJeune Deanna Needell E. Rebrova 84 4 0 09 May 2024
Memory-Query Tradeoffs for Randomized Convex Optimization Xinyu Chen Binghui Peng 94 7 0 21 Jun 2023
Krylov Methods are (nearly) Optimal for Low-Rank Approximation Ainesh Bakshi Shyam Narayanan 56 7 0 06 Apr 2023
Query lower bounds for log-concave sampling Sinho Chewi Jaume de Dios Pont Jerry Li Chen Lu Shyam Narayanan 99 8 0 05 Apr 2023
Efficient Convex Optimization Requires Superlinear Memory A. Marsden Vatsal Sharan Aaron Sidford Gregory Valiant 76 15 0 29 Mar 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 70 16 0 10 Feb 2022
Hutch++: Optimal Stochastic Trace Estimation R. A. Meyer Cameron Musco Christopher Musco David P. Woodruff 98 106 0 19 Oct 2020
Black-Box Control for Linear Dynamical Systems Xinyi Chen Elad Hazan 81 83 0 13 Jul 2020
Vector-Matrix-Vector Queries for Solving Linear Algebra, Statistics, and Graph Problems Cyrus Rashtchian David P. Woodruff Hanlin Zhu 48 23 0 24 Jun 2020