Chiraag Kaushik

According to our database, Chiraag Kaushik authored at least 5 papers between 2021 and 2024.

Collaborative distances:

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

2024

The good, the bad and the ugly sides of data augmentation: An implicit spectral regularization perspective.

Chi-Heng Lin, Chiraag Kaushik, Eva L. Dyer, Vidya Muthukumar

J. Mach. Learn. Res., 2024

Precise asymptotics of reweighted least-squares algorithms for linear diagonal networks.

Chiraag Kaushik, Justin Romberg, Vidya Muthukumar

CoRR, 2024

Balanced Data, Imbalanced Spectra: Unveiling Class Disparities with Spectral Imbalance.

Chiraag Kaushik, Ran Liu, Chi-Heng Lin, Amrit Khera, Matthew Y. Jin, Wenrui Ma, Vidya Muthukumar, Eva L. Dyer

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

New Equivalences Between Interpolation and SVMs: Kernels and Structured Features.

Chiraag Kaushik, Andrew D. McRae, Mark A. Davenport, Vidya Muthukumar

CoRR, 2023

2021

Network Topology Change-Point Detection from Graph Signals with Prior Spectral Signatures.

Chiraag Kaushik, T. Mitchell Roddenberry, Santiago Segarra

Proceedings of the IEEE International Conference on Acoustics, 2021