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.

Recent Publications

I am currently interested in statistics and machine learning for network data and models.
  1. D. Choi. “ A Semidefinite Program for Structured Blockmodels. ” In submission. [arxiv]

  2. D. Choi. “ Co-clustering of non-smooth graphons. ” To appear in Annals of Statistics. [arxiv]

  3. D. Choi. “ Estimation of monotone treatment effects in network experiments. ” To appear in Journal of the American Statistical Association. [arxiv]

  4. D. Choi and P. Wolfe. “ Co-clustering separately exchangeable network data. ” Annals of Statistics , 42(1), 29-63, 2014. [arvix]

  5. 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. [arxiv]

  6. D.S. Choi, P.J. Wolfe, and E.M. Airoldi. “Stochastic blockmodels with growing number of classes.” Biometrika, 99(2), 273-284, 2012. [arxiv]

  7. 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