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Papers
GradientDICE: Rethinking Generalized Offline Estimation of Stationary Values
ICML 2020
Off-Policy Evaluation and Learning for External Validity under a Covariate Shift
NeurIPS 2020
Rethinking Importance Weighting for Deep Learning under Distribution Shift
NeurIPS 2020
Training Generative Adversarial Networks from Incomplete Observations using Factorised Discriminators
ICLR 2020
Low-Dimensional Density Ratio Estimation for Covariate Shift Correction
AISTATS 2019
The Implicit Metropolis-Hastings Algorithm
NeurIPS 2019
Breaking the Curse of Horizon: Infinite-Horizon Off-Policy Estimation
NeurIPS 2018
Stabilizing Training of Generative Adversarial Networks through Regularization
NeurIPS 2017
Local Kernel Density Ratio-Based Feature Selection for Outlier Detection
ACML 2012
Direct Importance Estimation with Model Selection and Its Application to Covariate Shift Adaptation
NeurIPS 2007
Estimating divergence functionals and the likelihood ratio by penalized convex risk minimization
NeurIPS 2007