shrinkage estimator

Improving Normalization With the James-Stein Estimator WACV 2024 Two is Better Than One: Regularized Shrinkage of Large Minimum Variance Portfolios JMLR 2024 A General Framework for Empirical Bayes Estimation in Discrete Linear Exponential Family JMLR 2021 Adaptive Shrinkage Estimation for Streaming Graphs NeurIPS 2020 Doubly robust off-policy evaluation with shrinkage ICML 2020 Data-driven Random Fourier Features using Stein Effect IJCAI 2017 Kernel Mean Shrinkage Estimators JMLR 2016 Covariance shrinkage for autocorrelated data NeurIPS 2014 Kernel Mean Estimation and Stein Effect ICML 2014 Kernel Mean Estimation via Spectral Filtering NeurIPS 2014 One-shot learning and big data with n=2 NeurIPS 2013 Entropy Inference and the James-Stein Estimator, with Application to Nonlinear Gene Association Networks JMLR 2009