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Lee H. Dicker

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affiliation: Rutgers University, Department of Statistics and Biostatistics
affiliation: Harvard University, Department of Biostatistics

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Journal Articles

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2019
[j2]
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Murat A. Erdogdu, Mohsen Bayati, Lee H. Dicker:
Scalable Approximations for Generalized Linear Problems. J. Mach. Learn. Res. 20: 7:1-7:45 (2019)
2018
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Long Feng, Lee H. Dicker:
Approximate nonparametric maximum likelihood for mixture models: A convex optimization approach to fitting arbitrary multivariate mixing distributions. Comput. Stat. Data Anal. 122: 80-91 (2018)

Conference and Workshop Papers

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2017
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Long Feng, Ruijun Ma, Lee H. Dicker:
Nonparametric maximum likelihood approximate message passing. CISS 2017: 1-6
2016
[c5]
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Lee H. Dicker, Murat A. Erdogdu:
Maximum Likelihood for Variance Estimation in High-Dimensional Linear Models. AISTATS 2016: 159-167
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Murat A. Erdogdu, Lee H. Dicker, Mohsen Bayati:
Scaled Least Squares Estimator for GLMs in Large-Scale Problems. NIPS 2016: 3324-3332
2014
[c3]
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Lee H. Dicker:
Sparsity and the truncated \(l^2\)-norm. AISTATS 2014: 159-166
2013
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Lee H. Dicker, Dean P. Foster:
One-shot learning and big data with n=2. NIPS 2013: 270-278
2010
[c1]
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Hanna M. Wallach, Shane T. Jensen, Lee H. Dicker, Katherine A. Heller:
An Alternative Prior Process for Nonparametric Bayesian Clustering. AISTATS 2010: 892-899

Informal and Other Publications

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2018
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Sergül Aydöre, Lee H. Dicker, Dean P. Foster:
A Local Regret in Nonconvex Online Learning. CoRR abs/1811.05095 (2018)

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