William Swartworth

Orcid: 0009-0000-5010-2126

According to our database1, William Swartworth authored at least 15 papers between 2017 and 2024.

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Bibliography

2024
Improving the Bit Complexity of Communication for Distributed Convex Optimization.
Proceedings of the 56th Annual ACM Symposium on Theory of Computing, 2024

Fast Sampling-Based Sketches for Tensors.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
Selectable Set Randomized Kaczmarz.
Numer. Linear Algebra Appl., January, 2023

Fast and Low-Memory Compressive Sensing Algorithms for Low Tucker-Rank Tensor Approximation from Streamed Measurements.
CoRR, 2023

Optimal Eigenvalue Approximation via Sketching.
Proceedings of the 55th Annual ACM Symposium on Theory of Computing, 2023

Nearly Optimal Bounds for Cyclic Forgetting.
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?
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.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
Quantile-Based Iterative Methods for Corrupted Systems of Linear Equations.
SIAM J. Matrix Anal. Appl., 2022

Testing Positive Semidefiniteness Using Linear Measurements.
Proceedings of the 63rd IEEE Annual Symposium on Foundations of Computer Science, 2022

Population-Based Hierarchical Non-Negative Matrix Factorization for Survey Data.
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.
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.
Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021

2020
Stochastic Gradient Descent Variants for Corrupted Systems of Linear Equations.
Proceedings of the 54th Annual Conference on Information Sciences and Systems, 2020

2017
Testing Hereditary Properties of Sequences.
Proceedings of the Approximation, 2017


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