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20202026
most citedQuantile-based Iterative Methods for Corrupted Systems of Linear Equations

1 citations · 1 across the 14 of their papers we have counts for

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cs.DS2026

High Probability Streaming Lower Bounds for Estimation

William Swartworth, David P. Woodruff, Samson Zhou

Estimating the second frequency moment () of an underlying frequency vector is a fundamental problem in the streaming model. While recent work by Braverman and Zamir [STOC 202…

cs.DS2025

Perfect Sampling with Polylogarithmic Update Time

William Swartworth, David P. Woodruff, Samson Zhou

Perfect sampling in a stream was introduced by Jayaram and Woodruff (FOCS 2018) as a streaming primitive which, given turnstile updates to a vector $x \in \{-\text{poly}(n),…

cs.DS2025

Unbiased Insights: Optimal Streaming Algorithms for Sampling, the Forget Model, and Beyond

Honghao Lin, Hoai-An Nguyen, William Swartworth +1

We study sampling and frequency moment estimation in a single-pass insertion-only data stream. For , we present a nearly space-optimal approximate sa…

cs.DS2025

Tight Bounds for Heavy-Hitters and Moment Estimation in the Sliding Window Model

Shiyuan Feng, William Swartworth, David P. Woodruff

We consider the heavy-hitters and moment estimation problems in the sliding window model. For moment estimation with , we show that it is possible to give a…

cs.DS2025

Understanding the Kronecker Matrix-Vector Complexity of Linear Algebra

Raphael A. Meyer, William Swartworth, David P. Woodruff

We study the computational model where we can access a matrix only by computing matrix-vector products for vectors of the form $\mathrm{x} = \ma…

cs.DS2024

Tight Sampling Bounds for Eigenvalue Approximation

William Swartworth, David P. Woodruff

We consider the problem of estimating the spectrum of a symmetric bounded entry (not necessarily PSD) matrix via entrywise sampling. This problem was introduced by [Bhattacharjee,…

cs.DS2024

Fast Sampling Based Sketches for Tensors

William Swartworth, David P. Woodruff

We introduce a new approach for applying sampling-based sketches to two and three mode tensors. We illustrate our technique to construct sketches for the classical problems of $\el…

cs.DS2024

Improving the Bit Complexity of Communication for Distributed Convex Optimization

Mehrdad Ghadiri, Yin Tat Lee, Swati Padmanabhan +3

We consider the communication complexity of some fundamental convex optimization problems in the point-to-point (coordinator) and blackboard communication models. We strengthen kno…

cs.DS2023

Optimal Eigenvalue Approximation via Sketching

William Swartworth, David P. Woodruff

Given a symmetric matrix , we show from the simple sketch , where is a Gaussian matrix with rows, that there is a procedure for approximating all eigen…

cs.DS2022

Testing Positive Semidefiniteness Using Linear Measurements

Deanna Needell, William Swartworth, David P. Woodruff

We study the problem of testing whether a symmetric input matrix is symmetric positive semidefinite (PSD), or is -far from the PSD cone, meaning that $λ_{\min}(…