David S. Choi
David S. Choi
I am an assistant professor in Heinz College, which is part of Carnegie Mellon University,
and contains the Schools of Public Policy and Information Systems. I also have a courtesy appointment in the Department of Statistics at CMU.
I was a graduate student at the Information Systems Laboratory in the
department of Electrical Engineering at Stanford University. My advisor was
Benjamin Van Roy.
I am currently interested in statistics and machine learning for network data and models.
- D. Choi. “ A Semidefinite Program for Structured Blockmodels. ” In submission. [arxiv]
- D. Choi. “ Co-clustering of non-smooth graphons. ”
To appear in Annals of Statistics. [arxiv]
- D. Choi. “ Estimation of monotone treatment effects in network experiments. ”
To appear in Journal of the American Statistical Association. [arxiv]
- D. Choi and P. Wolfe. “
Co-clustering separately exchangeable network data. ”
Annals of Statistics , 42(1), 29-63, 2014.
- P. Bickel, D. Choi, X. Chang, and H. Zhang. “
Asymptotic normality of maximum likelihood and its variational approximation for stochastic blockmodels.” Annals of Statistics, 41(4), 1922-1943, 2013.
- D.S. Choi, P.J. Wolfe, and E.M. Airoldi. “Stochastic blockmodels with growing number of classes.”
Biometrika, 99(2), 273-284, 2012. [arxiv]
- E.M. Airoldi, D.S. Choi, and P.J. Wolfe. “Confidence sets for network structure.”
Statistical analysis and data mining, 4(5), 461-469, 2011. [arxiv]
Conference version in Neural Information Processing Systems 24, 2011. [pdf]
davidch at andrew.cmu.edu
Hamburg Hall 2101C, 5000 Forbes Avenue, Pittsburgh, PA 15213