2025
Co-Regularization Enhances Knowledge Transfer in High Dimensions
NeurIPS 2025poster
Most existing transfer learning algorithms for high-dimensional models employ a two-step regularization framework, whose success heavily hinges on the assumption that the pre-trained model closely resembles the target. To relax this assumption, we propose a co-regularization process to directly expl…