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Published in IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP), 2024
Here, we study a regularization-free randomized coordinate descent method that uses an efficient periodic refactorization to guarantee a linear convergence rate.
[Paper]@inproceedings{callahan2024provable,
title={Provable Randomized Coordinate Descent for Matrix Completion}, author={Callahan, Matthew and Vu, Trung and Raich, Raviv}, booktitle={ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)}, pages={9421--9425}, year={2024}, organization={IEEE} }
Published in IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP), 2025
[Paper] [Poster] [PDF]@inproceedings{callahan2025momentum,
title={On Momentum Acceleration for Randomized Coordinate Descent in Matrix Completion}, author={Callahan, Matthew and Vu, Trung and Raich, Raviv}, booktitle={ICASSP 2025-2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)}, pages={1--5}, year={2025}, organization={IEEE} }
Undergraduate course, Oregon State University, College of Engineering, 2023
Instructor for course.