Rikhav Shah

According to our database, Rikhav Shah authored at least 15 papers between 2019 and 2026.

Collaborative distances:

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

2026

Spectral density estimation for normal matrices.

Cameron Musco, Christopher Musco, Rikhav Shah, John Urschel, Nicholas West

CoRR, May, 2026

DynMuon: A Dynamic Spectral Shaping View of Muon.

Fangzhou Wu, Rikhav Shah, Sandeep Silwal, Qiuyi Zhang

CoRR, May, 2026

On the exponential rate of the condition number of Fourier submatrices and Vandermonde matrices.

Rikhav Shah, John Urschel

CoRR, April, 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

Even Faster Kernel Matrix Linear Algebra via Density Estimation.

Rikhav Shah, Sandeep Silwal, Haike Xu

CoRR, October, 2025

A Unified Perspective on Orthogonalization and Diagonalization.

Isabel Detherage, Rikhav Shah

CoRR, May, 2025

Hermitian Diagonalization in Linear Precision.

Rikhav Shah

Proceedings of the 2025 Annual ACM-SIAM Symposium on Discrete Algorithms, 2025

2024

Sparse Pseudospectral Shattering.

Rikhav Shah, Nikhil Srivastava, Edward Zeng

CoRR, 2024

Fast Hermitian Diagonalization with Nearly Optimal Precision.

Rikhav Shah

CoRR, 2024

Achieving the Highest Possible Elo Rating.

Rikhav Shah

Proceedings of the 12th International Conference on Fun with Algorithms, 2024

2022

Becoming the World's Highest Rated Chess Player.

Rikhav Shah

CoRR, 2022

A Spectral Approach to Polytope Diameter.

Hariharan Narayanan, Rikhav Shah, Nikhil Srivastava

Proceedings of the 13th Innovations in Theoretical Computer Science Conference, 2022

2021

Smoothed Analysis of the Condition Number Under Low-Rank Perturbations.

Rikhav Shah, Sandeep Silwal

Proceedings of the Approximation, 2021

2019

Using Dimensionality Reduction to Optimize t-SNE.

Rikhav Shah, Sandeep Silwal

CoRR, 2019

Directed random geometric graphs.

Jesse Michel, Sushruth Reddy, Rikhav Shah, Sandeep Silwal, Ramis Movassagh

J. Complex Networks, 2019