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math.ST2026
Scalable Operator Learning via Nyström Approximation With Denoising Applications
Naveen Gupta, Vaibhav Silmana, S. Sivananthan
In this paper, we study Nyström subsampling for vector-valued regression in vector-valued reproducing kernel Hilbert spaces. Standard kernel methods often suffer from prohibitive c…
math.ST2025
Convergence Analysis of function-on-function Polynomial regression model
Naveen Gupta, Sivananthan Sampath
In this article, we study the convergence behavior of the regularization-based algorithm for solving the polynomial regression model when both input data and responses are from inf…