Search Results for author:
Found 2 papers, 1 papers with code
Minimax Optimal Transfer Learning for Kernel-based Nonparametric Regression
This paper focuses on investigating the transfer learning problem within the context of nonparametric regression over a reproducing kernel Hilbert space.
Towards a Unified Analysis of Kernel-based Methods Under Covariate Shift
Two types of covariate shift problems are the focus of this paper and the sharp convergence rates are established for a general loss function to provide a unified theoretical analysis, which concurs with the optimal results in literature where the squared loss is used.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
