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ORCIDLee H. Dicker
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- affiliation: Rutgers University, Department of Statistics and Biostatistics
- affiliation: Harvard University, Department of Biostatistics
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2010 – 2019
- 2019
[j2]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
- [j1]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) - [i1]Sergül Aydöre, Lee H. Dicker, Dean P. Foster:
A Local Regret in Nonconvex Online Learning. CoRR abs/1811.05095 (2018) - 2017
- [c6]Long Feng, Ruijun Ma, Lee H. Dicker:
Nonparametric maximum likelihood approximate message passing. CISS 2017: 1-6 - 2016
- [c5]Lee H. Dicker, Murat A. Erdogdu:
Maximum Likelihood for Variance Estimation in High-Dimensional Linear Models. AISTATS 2016: 159-167 - [c4]Murat A. Erdogdu, Lee H. Dicker, Mohsen Bayati:
Scaled Least Squares Estimator for GLMs in Large-Scale Problems. NIPS 2016: 3324-3332 - 2014
- [c3]Lee H. Dicker:
Sparsity and the truncated \(l^2\)-norm. AISTATS 2014: 159-166 - 2013
- [c2]Lee H. Dicker, Dean P. Foster:
One-shot learning and big data with n=2. NIPS 2013: 270-278 - 2010
- [c1]Hanna M. Wallach, Shane T. Jensen, Lee H. Dicker, Katherine A. Heller:
An Alternative Prior Process for Nonparametric Bayesian Clustering. AISTATS 2010: 892-899
Coauthor Index
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