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Distribution Shift

190 directly classified papers

Papers per year

Papers

Distributionally Robust Graphical Models NIPS 2018
Beyond Worst-case: A Probabilistic Analysis of Affine Policies in Dynamic Optimization NIPS 2017
Robust Optimization for Non-Convex Objectives NIPS 2017
ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching NIPS 2017
Stochastic Gradient Methods for Distributionally Robust Optimization with f-divergences NIPS 2016
Learning With Dataset Bias in Latent Subcategory Models CVPR 2015
Robust Classification Under Sample Selection Bias NIPS 2014
Data-driven Distributionally Robust Polynomial Optimization NIPS 2013
Learning High-Density Regions for a Generalized Kolmogorov-Smirnov Test in High-Dimensional Data NIPS 2012
Relative Density-Ratio Estimation for Robust Distribution Comparison NIPS 2011
Active Learning with a Drifting Distribution NIPS 2011
Learning Bounds for Importance Weighting NIPS 2010
Direct Importance Estimation with Model Selection and Its Application to Covariate Shift Adaptation NIPS 2007
Mixture Regression for Covariate Shift NIPS 2006
Correcting Sample Selection Bias by Unlabeled Data NIPS 2006