Research

RESEARCH INTERESTS

Bayesian nonparametrics, stochastic optimization, shape-restricted inference, making decisions with data, applications to clean energy

CV

PAPERS

Preprints

“Bayesian Nonparametric Multivariate Convex Regression” with David Dunson

Conference Papers

    L. A. Hannah and D. B. Dunson, “Ensemble Methods for Convex Regression with Applications to Geometric Programming Based Circuit Design,” ICML, 2012. pdf
    M. Zhou, L. A. Hannah, D. B. Dunson and L. Carin, “Beta-Negative Binomial Process and Poisson Factor Analysis,” AISTATS, 2012.
    L. A. Hannah and D. B. Dunson, “Approximate Dynamic Programming for Storage Problems,” ICML, 2011. Distinguished Application Paper Award. pdf
    L. A. Hannah, W. B. Powell and D. M. Blei, “Nonparametric Density Estimation for Stochastic Optimization with an Observable State Variable,” NIPS, 2010. pdf
    L. A. Hannah, D. M. Blei and W. B. Powell, “Dirichlet Process Mixtures of Generalized Linear Models,” AISTATS, 2010.

Journal Papers
    L. A. Hannah, W. B. Powell and D. B. Dunson, "Semiconvex Regression for Metamodeling-Based Optimization," to appear in SIAM Journal on Optimization.

    L. A. Hannah and D. B. Dunson, “Multivariate Convex Regression with Adaptive Partitioning,” Journal of Machine Learning Research, Vol. 14, pp. 3207-3240, 2013.
    L. M. Lehmer, B. D. Ragsdale, R. I. Crawford, R. Bukachevsky, and L. A. Hannah, “Mucoepidermoid Carcinoma of the Parotid Presenting as Periauricular Cystic Nodules: a Series of Four Cases,” Journal of Cutaneous Pathology, Vol. 39, No. 7, pp. 712-717, 2012.
    L. A. Hannah, D. M. Blei and W. B. Powell, “Dirichlet Process Mixtures of Generalized Linear Models,” Journal of Machine Learning Research, Vol. 12, pp. 1923-1953, 2011.
    L. A. Hannah, W. B. Powell, and J. Stewart, “One-Stage R&D Portfolio Optimization with an Application to Solid Oxide Fuel Cells,” Energy Systems, Vol. 1, No. 2, pp. 141-163, 2010.
    L. A. Hannah and W. B. Powell, “Evolutionary Policy Iteration Under a Sampling Regime for Stochastic Combinatorial Optimization,” IEEE Transactions on Automatic Control, Vol. 55, No. 5, pp. 1254-1257, 2010.

CODE AND DATA

disclaimer:  unless otherwise noted, this code is not supported
CAP (Convex Adaptive Partitioning), Matlab
MBCR (Multivariate Bayesian Convex Regression), Matlab



Copyright 2013 by Lauren Hannah