William Swartworth

According to our database, William Swartworth authored at least 14 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Improving the Bit Complexity of Communication for Distributed Convex Optimization.

Mehrdad Ghadiri, Yin Tat Lee, Swati Padmanabhan, William Swartworth, David P. Woodruff, Guanghao Ye

CoRR, 2024

2023

Selectable Set Randomized Kaczmarz.

Yotam Yaniv, Jacob D. Moorman, William Swartworth, Thomas K. Tu, Daji Landis, Deanna Needell

Numer. Linear Algebra Appl., January, 2023

Fast and Low-Memory Compressive Sensing Algorithms for Low Tucker-Rank Tensor Approximation from Streamed Measurements.

Cullen Haselby, Mark A. Iwen, Deanna Needell, Elizaveta Rebrova, William Swartworth

CoRR, 2023

Optimal Eigenvalue Approximation via Sketching.

William Swartworth, David P. Woodruff

Proceedings of the 55th Annual ACM Symposium on Theory of Computing, 2023

Nearly Optimal Bounds for Cyclic Forgetting.

William Swartworth, Deanna Needell, Rachel A. Ward, Mark Kong, Halyun Jeong

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Training shallow ReLU networks on noisy data using hinge loss: when do we overfit and is it benign?

Erin George, Michael Murray, William Swartworth, Deanna Needell

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

SP2 : A Second Order Stochastic Polyak Method.

Shuang Li, William J. Swartworth, Martin Takác, Deanna Needell, Robert M. Gower

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Quantile-Based Iterative Methods for Corrupted Systems of Linear Equations.

Jamie Haddock, Deanna Needell, Elizaveta Rebrova, William Swartworth

SIAM J. Matrix Anal. Appl., 2022

Testing Positive Semidefiniteness Using Linear Measurements.

Deanna Needell, William Swartworth, David P. Woodruff

Proceedings of the 63rd IEEE Annual Symposium on Foundations of Computer Science, 2022

Population-Based Hierarchical Non-Negative Matrix Factorization for Survey Data.

Xiaofu Ding, Xinyu Dong, Olivia McGough, Chenxin Shen, Annie Ulichney, Ruiyao Xu, William Swartworth, Jocelyn T. Chi, Deanna Needell

Proceedings of the IEEE/ACM International Conference on Big Data Computing, 2022

2021

Reconstructing Piezoelectric Responses over a Lattice: Adaptive Sampling of Low Dimensional Time Series Representations Based on Relative Isolation and Gradient Size.

Michael R. Lindstrom, William J. Swartworth, Deanna Needell

Proceedings of the Driving Scientific and Engineering Discoveries Through the Integration of Experiment, Big Data, and Modeling and Simulation, 2021

An Untrained One-layer Convolutional Network-based Method for Line Spectral Estimation.

Shuang Li, Deanna Needell, William Swartworth

Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021

2020

Stochastic Gradient Descent Variants for Corrupted Systems of Linear Equations.

Jamie Haddock, Deanna Needell, Elizaveta Rebrova, William Swartworth

Proceedings of the 54th Annual Conference on Information Sciences and Systems, 2020

2017

Testing Hereditary Properties of Sequences.

Cody R. Freitag, Eric Price, William J. Swartworth

Proceedings of the Approximation, 2017