Distribution Shift
264 papers
Papers per year
2
1
1
2
1
1
2
1
1
3
1
15
13
22
48
43
47
40
20
'10
'15
'20
'25
Papers
Beyond Worst-case: A Probabilistic Analysis of Affine Policies in Dynamic Optimization
NeurIPS 2017
Robust Optimization for Non-Convex Objectives
NeurIPS 2017
Stochastic Gradient Methods for Distributionally Robust Optimization with f-divergences
NeurIPS 2016
Learning With Dataset Bias in Latent Subcategory Models
CVPR 2015
Flexible Transfer Learning under Support and Model Shift
NeurIPS 2014
Robust Classification Under Sample Selection Bias
NeurIPS 2014
Data-driven Distributionally Robust Polynomial Optimization
NeurIPS 2013
Learning High-Density Regions for a Generalized Kolmogorov-Smirnov Test in High-Dimensional Data
NeurIPS 2012
Active Learning with a Drifting Distribution
NeurIPS 2011
Relative Density-Ratio Estimation for Robust Distribution Comparison
NeurIPS 2011
Learning Bounds for Importance Weighting
NeurIPS 2010
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