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Many large-scale machine learning problems involve estimating an unknown parameter $\theta_{i}$ for each of many items.
An empirical bayes approach to statistics
Herbert Robbins · 1954
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Consistency of the maximum likelihood estimator in the presence of infinitely many incidental parameters
J. Kiefer and J. Wolfowitz · 1956
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Limiting the risk of bayes and empirical bayes estimators–part i: The bayes case
Bradley Efron and Carl Morris · 1971
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Asymptotic equivalence of two estimators for an exponential family
Divakar Sharma · 1973
Earlier work this paper cites.
Empirical bayes and compound estimation of normal means
Cun-Hui Zhang · 1997
Earlier work this paper cites.
Probabilistic outputs for support vector machines and comparisons to regularized likelihood methods
John C. Platt · 1999
Earlier work this paper cites.
Empirical bayes analysis of a microarray experiment
Bradley Efron, Robert Tibshirani, John D. Storey, and Virginia Tusher · 2001
Earlier work this paper cites.
Transforming classifier scores into accurate multiclass probability estimates
Bianca Zadrozny and Charles Elkan · 2002
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Properties and benefits of calibrated classifiers
Ira Cohen and Moises Goldszmidt · 2004
Cited alongside, same era.
Needles and straw in haystacks: Empirical bayes estimates of possibly sparse sequences
Iain M. Johnstone and Bernard W. Silverman · 2004
Cited alongside, same era.
Predicting good probabilities with supervised learning
Alexandru Niculescu-Mizil and Rich Caruana · 2005
Cited alongside, same era.
An empirical comparison of supervised learning algorithms
Rich Caruana and Alexandru Niculescu-Mizil · 2006
Cited alongside, same era.
Probabilistic forecasts, calibration and sharpness
Tilmann Gneiting, Fadoua Balabdaoui, and Adrian E. Raftery · 2007
Cited alongside, same era.
Random effects / error measurement (in preparation)
Ali Amini and Nicholas Johnson · 2009
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General maximum likelihood empirical bayes estimation of normal means
Wenhua Jiang and Cun-Hui Zhang · 2009
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Large-Scale Inference: Empirical Bayes Methods for Estimation, Testing, and Prediction
Bradley Efron · 2010
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Web-scale bayesian click-through rate prediction for sponsored search advertising in microsoft’s bing search engine
Thore Graepel, Joaquin Quinonero Candela, Thomas Borchert, and Ralf Herbrich · 2010
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An empirical bayes mixture method for effect size and false discovery rate estimation
Omkar Muralidharan · 2010
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High dimensional exponential family estimation via empirical bayes
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Predicting clicks: estimating the click-through rate for new ads
Matthew Richardson, Ewa Dominowska, and Robert Ragno · 2007
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Omkar Muralidharan · 2011
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Detecting mutations in mixed sample sequencing data using empirical bayes
Omkar Muralidharan, Georges Natsoulis, John Bell, Hanlee Ji, and Nancy R. Zhang · 2012
Later among the works it cites.