density ratio estimation

Doubly Robust Bias Reduction in Infinite Horizon Off-Policy Estimation ICLR 2020 GenDICE: Generalized Offline Estimation of Stationary Values ICLR 2020 GradientDICE: Rethinking Generalized Offline Estimation of Stationary Values ICML 2020 Improving Maximum Likelihood Training for Text Generation with Density Ratio Estimation AISTATS 2020 LTF: A Label Transformation Framework for Correcting Label Shift ICML 2020 Off-Policy Evaluation and Learning for External Validity under a Covariate Shift NeurIPS 2020 On Contrastive Learning for Likelihood-free Inference ICML 2020 Rethinking Importance Weighting for Deep Learning under Distribution Shift NeurIPS 2020 Robust Correction of Sampling Bias using Cumulative Distribution Functions NeurIPS 2020 Telescoping Density-Ratio Estimation NeurIPS 2020 Fisher Efficient Inference of Intractable Models NeurIPS 2019 Low-Dimensional Density Ratio Estimation for Covariate Shift Correction AISTATS 2019 Multistream Classification with Relative Density Ratio Estimation AAAI 2019 Learning Latest Classifiers without Additional Labeled Data IJCAI 2017 Lipschitz Density-Ratios, Structured Data, and Data-driven Tuning AISTATS 2017 Trimmed Density Ratio Estimation NeurIPS 2017 Linking losses for density ratio and class-probability estimation ICML 2016 High-Dimensional Density Ratio Estimation with Extensions to Approximate Likelihood Computation AISTATS 2014 Inverse Density as an Inverse Problem: the Fredholm Equation Approach NeurIPS 2013 Multi-view Positive and Unlabeled Learning ACML 2012 Relative Density-Ratio Estimation for Robust Distribution Comparison NeurIPS 2011 Conditional Density Estimation via Least-Squares Density Ratio Estimation AISTATS 2010 Sufficient Dimension Reduction via Squared-loss Mutual Information Estimation AISTATS 2010 A Least-squares Approach to Direct Importance Estimation JMLR 2009 Efficient Direct Density Ratio Estimation for Non-stationarity Adaptation and Outlier Detection NeurIPS 2008