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Found 3 papers, 1 papers with code
TransFusion: Covariate-Shift Robust Transfer Learning for High-Dimensional Regression
Nonasymptotic bound is provided for the estimation error of the target model, showing the robustness of the proposed method to covariate shifts.
AdaTrans: Feature-wise and Sample-wise Adaptive Transfer Learning for High-dimensional Regression
We consider the transfer learning problem in the high dimensional setting, where the feature dimension is larger than the sample size.
Understanding Curriculum Learning in Policy Optimization for Online Combinatorial Optimization
Furthermore, our theory explains the benefit of curriculum learning: it can find a strong sampling policy and reduce the distribution shift, a critical quantity that governs the convergence rate in our theorem.
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