covariate shift

Semi-Generative Modelling: Covariate-Shift Adaptation with Cause and Effect Features AISTATS 2019 The Cells Out of Sample (COOS) dataset and benchmarks for measuring out-of-sample generalization of image classifiers NeurIPS 2019 A Classification-Based Study of Covariate Shift in GAN Distributions ICML 2018 Invariant Models for Causal Transfer Learning JMLR 2018 Marginal Singularity, and the Benefits of Labels in Covariate-Shift COLT 2018 DART: Noise Injection for Robust Imitation Learning CoRL 2017 Reconstruct & Crush Network NeurIPS 2017 Domain Adaptation with Conditional Transferable Components ICML 2016 Robust Covariate Shift Regression AISTATS 2016 Active Nearest Neighbors in Changing Environments ICML 2015 On Semi-Supervised Linear Regression in Covariate Shift Problems JMLR 2015 Flexible Transfer Learning under Support and Model Shift NeurIPS 2014 Robust Learning under Uncertain Test Distributions: Relating Covariate Shift to Model Misspecification ICML 2014 Covariate Shift in Hilbert Space: A Solution via Sorrogate Kernels ICML 2013 Inverse Density as an Inverse Problem: the Fredholm Equation Approach NeurIPS 2013 Using Hyperbolic Cross Approximation to measure and compensate Covariate Shift ACML 2013 Acceleration Technique for Boosting Classification and its Application to Face Detection ACML 2011 Linear-Time Estimators for Propensity Scores AISTATS 2011 Impossibility Theorems for Domain Adaptation AISTATS 2010 Discriminative Learning Under Covariate Shift JMLR 2009 Covariate Shift Adaptation by Importance Weighted Cross Validation JMLR 2007 Direct Importance Estimation with Model Selection and Its Application to Covariate Shift Adaptation NeurIPS 2007 Correcting Sample Selection Bias by Unlabeled Data NeurIPS 2006 Mixture Regression for Covariate Shift NeurIPS 2006