Jackie Lok

According to our database, Jackie Lok authored at least 7 papers between 2023 and 2026.

Collaborative distances:

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

2026

Linear Systems and Eigenvalue Problems: Open Questions from a Simons Workshop.

Noah Amsel, Yves Baumann, Paul Beckman, Peter Bürgisser, Chris Camaño, Tyler Chen, Edmond Chow, Anil Damle, Michal Derezinski, Mark Embree, Ethan N. Epperly, Robert D. Falgout, Mark Fornace, Anne Greenbaum, Chen Greif, Diana Halikias, Zhen Huang, Elias Jarlebring, Yiannis Koutis, Daniel Kressner, Rasmus Kyng, Jörg Liesen, Jackie Lok, Raphael A. Meyer, Yuji Nakatsukasa, Kate Pearce, Richard Peng, David Persson, Elizaveta Rebrova, Ryan Schneider, Rikhav Shah, Edgar Solomonik, Nikhil Srivastava, Alex Townsend, Robert J. Webber, Jess Williams

CoRR, February, 2026

2025

Beyond Expectation: Concentration Inequalities for Randomized Iterative Methods.

Toby Anderson, Max Collins, Jamie Haddock, Jackie Lok, Elizaveta Rebrova

CoRR, November, 2025

Subspace-constrained randomized coordinate descent for linear systems with good low-rank matrix approximations.

Jackie Lok, Elizaveta Rebrova

CoRR, June, 2025

Error dynamics of mini-batch gradient descent with random reshuffling for least squares regression.

Jackie Lok, Rishi Sonthalia, Elizaveta Rebrova

Proceedings of the International Conference on Algorithmic Learning Theory, 2025

2024

On Regularization via Early Stopping for Least Squares Regression.

Rishi Sonthalia, Jackie Lok, Elizaveta Rebrova

CoRR, 2024

Discrete error dynamics of mini-batch gradient descent for least squares regression.

Jackie Lok, Rishi Sonthalia, Elizaveta Rebrova

CoRR, 2024

2023

A subspace constrained randomized Kaczmarz method for structure or external knowledge exploitation.

Jackie Lok, Elizaveta Rebrova

CoRR, 2023