| Stochastic blockmodels with a growing number of classes DS Choi, PJ Wolfe, EM Airoldi Biometrika 99 (2), 273-284, 2012 | 291 | 2012 |
| Asymptotic normality of maximum likelihood and its variational approximation for stochastic blockmodels P Bickel, D Choi, X Chang, H Zhang | 272 | 2013 |
| Accounting for experimental noise reveals that mRNA levels, amplified by post-transcriptional processes, largely determine steady-state protein levels in yeast G Csárdi, A Franks, DS Choi, EM Airoldi, DA Drummond PLoS genetics 11 (5), e1005206, 2015 | 208 | 2015 |
| Global spectral clustering in dynamic networks F Liu, D Choi, L Xie, K Roeder Proceedings of the National Academy of Sciences 115 (5), 927-932, 2018 | 162 | 2018 |
| APOE and TREM2 regulate amyloid-responsive microglia in Alzheimer’s disease AT Nguyen, K Wang, G Hu, X Wang, Z Miao, JA Azevedo, ER Suh, ... Acta neuropathologica 140, 477-493, 2020 | 161 | 2020 |
| A generalized Kalman filter for fixed point approximation and efficient temporal-difference learning D Choi, B Van Roy Discrete Event Dynamic Systems 16 (2), 207-239, 2006 | 96 | 2006 |
| Co-clustering separately exchangeable network data D Choi, PJ Wolfe | 71 | 2014 |
| Estimation of monotone treatment effects in network experiments D Choi Journal of the American Statistical Association 112 (519), 1147-1155, 2017 | 62 | 2017 |
| Nonparametric Bayesian methods for large scale multi-target tracking EB Fox, DS Choi, AS Willsky 2006 Fortieth Asilomar Conference on Signals, Systems and Computers, 2009-2013, 2006 | 36 | 2006 |
| Constructing local cell-specific networks from single-cell data X Wang, D Choi, K Roeder Proceedings of the National Academy of Sciences 118 (51), e2113178118, 2021 | 27 | 2021 |
| Co-clustering of nonsmooth graphons D Choi | 19 | 2017 |
| Confidence sets for network structure EM Airoldi, DS Choi, PJ Wolfe Statistical Analysis and Data Mining: The ASA Data Science Journal 4 (5 …, 2011 | 19 | 2011 |
| Confidence sets for network structure D Choi, P Wolfe, EM Airoldi Advances in Neural Information Processing Systems 24, 2011 | 5 | 2011 |
| Learnability of latent position network models DS Choi, PJ Wolfe 2011 IEEE Statistical Signal Processing Workshop (SSP), 521-524, 2011 | 3 | 2011 |
| Randomization-only Inference in Experiments with Interference D Choi arXiv e-prints, arXiv: 2107.00248, 2021 | 1 | 2021 |
| Stochastic Blockmodels with Growing Number of Classes EM Airoldi, PJ Wolfe, DS Choi HARVARD UNIV CAMBRIDGE MA SCHOOL OF ENGINEERING AND APPLIED SCIENCES, 2011 | | 2011 |
| Optimization for value function approximation D Choi Stanford University, 2004 | | 2004 |
| A generalized Kalman filter for fixed point approximation and efficient temporal-difference learning D Choi, B Van Roy ICML, 43-50, 2001 | | 2001 |
