3 papers
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…
math.ST2025
Revisiting general source condition in learning over a Hilbert space
Naveen Gupta, S. Sivananthan
In Learning Theory, the smoothness assumption on the target function (known as source condition) is a key factor in establishing theoretical convergence rates for an estimator. The…
math.ST2024
Convergence Analysis of regularised Nyström method for Functional Linear Regression
Naveen Gupta, Sivananthan Sampath
The functional linear regression model has been widely studied and utilized for dealing with functional predictors. In this paper, we study the Nyström subsampling method, a strat…