John C. Urschel

According to our database, John C. Urschel authored at least 13 papers between 2017 and 2024.

Collaborative distances:

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

2024

Some New Results on the Maximum Growth Factor in Gaussian Elimination.

Alan Edelman, John Urschel

SIAM J. Matrix Anal. Appl., 2024

On a perturbation analysis of Higham squared maximum Gaussian elimination growth matrices.

Alan Edelman, John Urschel, Bowen Zhu

CoRR, 2024

Hamilton Powers of Eulerian Digraphs.

Enrico Colón, John Urschel

Electron. J. Comb., 2024

2023

A New Upper Bound For the Growth Factor in Gaussian Elimination with Complete Pivoting.

Ankit Bisain, Alan Edelman, John Urschel

CoRR, 2023

Estimating the matrix p → q norm.

Larry Guth, Dominique Maldague, John Urschel

CoRR, 2023

Representing the Special Linear Group with Block Unitriangular Matrices.

John Urschel

CoRR, 2023

2021

Uniform Error Estimates for the Lanczos Method.

John C. Urschel

SIAM J. Matrix Anal. Appl., 2021

Testing gap <i>k</i>-planarity is NP-complete.

John C. Urschel, Jake Wellens

Inf. Process. Lett., 2021

Regarding Two Conjectures on Clique and Biclique Partitions.

Dhruv Rohatgi, John C. Urschel, Jake Wellens

Electron. J. Comb., 2021

Multidimensional Scaling: Approximation and Complexity.

Erik D. Demaine, Adam Hesterberg, Frederic Koehler, Jayson Lynch, John C. Urschel

Proceedings of the 38th International Conference on Machine Learning, 2021

2017

On The Characterization and Uniqueness of Centroidal Voronoi Tessellations.

John C. Urschel

SIAM J. Numer. Anal., 2017

Learning Determinantal Point Processes with Moments and Cycles.

John C. Urschel, Victor-Emmanuel Brunel, Ankur Moitra, Philippe Rigollet

Proceedings of the 34th International Conference on Machine Learning, 2017

Rates of estimation for determinantal point processes.

Victor-Emmanuel Brunel, Ankur Moitra, Philippe Rigollet, John C. Urschel

Proceedings of the 30th Conference on Learning Theory, 2017