An Alternative Prior Process for Nonparametric Bayesian Clustering. - Hanna M. Wallach; Shane T. Jensen; Lee H. Dicker; Katherine A. Heller (AISTATS, 2010)

One-shot learning and big data with n=2. - Lee H. Dicker; Dean P. Foster (NIPS, 2013)

Sparsity and the truncated (l^2 )-norm. - Lee H. Dicker (AISTATS, 2014)

Maximum Likelihood for Variance Estimation in High-Dimensional Linear Models. - Lee H. Dicker; Murat A. Erdogdu (AISTATS, 2016)

Scaled Least Squares Estimator for GLMs in Large-Scale Problems. - Murat A. Erdogdu; Lee H. Dicker; Mohsen Bayati (NIPS, 2016)

Nonparametric maximum likelihood approximate message passing. - Long Feng; Ruijun Ma; Lee H. Dicker (CISS, 2017)

A Local Regret in Nonconvex Online Learning. - Sergül Aydöre; Lee H. Dicker; Dean P. Foster (CoRR, 2018)

Approximate nonparametric maximum likelihood for mixture models: A convex optimization approach to fitting arbitrary multivariate mixing distributions. - Long Feng; Lee H. Dicker (Comput. Stat. Data Anal., 2018)

Scalable Approximations for Generalized Linear Problems. - Murat A. Erdogdu; Mohsen Bayati; Lee H. Dicker (J. Mach. Learn. Res., 2019)