Nonparametric Density Estimation for Stochastic Optimization with an Observable State Variable. - Lauren Hannah; Warren B. Powell; David M. Blei (NIPS, 2010)

Dirichlet Process Mixtures of Generalized Linear Models. - Lauren Hannah; David M. Blei; Warren B. Powell (AISTATS, 2010)

Evolutionary Policy Iteration Under a Sampling Regime for Stochastic Combinatorial Optimization. - Lauren Hannah; Warren B. Powell (IEEE Trans. Autom. Control., 2010)

Approximate Dynamic Programming for Storage Problems. - Lauren Hannah; David B. Dunson (ICML, 2011)

Ensemble Methods for Convex Regression with Applications to Geometric Programming Based Circuit Design. - Lauren Hannah; David B. Dunson (ICML, 2012)

Beta-Negative Binomial Process and Poisson Factor Analysis. - Mingyuan Zhou; Lauren Hannah; David B. Dunson; Lawrence Carin (AISTATS, 2012)

Multivariate convex regression with adaptive partitioning. - Lauren Hannah; David B. Dunson (J. Mach. Learn. Res., 2013)

Semiconvex Regression for Metamodeling-Based Optimization. - Lauren A. Hannah; Warren B. Powell; David B. Dunson (SIAM J. Optim., 2014)

It's complicated: characterizing the time-varying relationship between cell phone mobility and COVID-19 spread in the US. - Sean Jewell; Joseph Futoma; Lauren Hannah; Andrew C. Miller; Nicholas J. Foti; Emily B. Fox (npj Digit. Medicine, 2021)