Archive of Scholarly Work

A list of my scholarly work can be found on Google Scholar. This is a local copy linked to PDFs.   (last updated on February 13, 2021)

  Summary statistics                                                                                  
                                  All        Since 2016                                               
            Citaions:          25,240            17,647                                               
             h-index:              45                37                                               
           i10-index:              93                76                                               

Google Scholar archive     (Other reports)

2020

1. Identification and estimation of treatment and interference effects in observational studies on networks     Journal of the American Statistical Association, 2020 By L Forastiere, EM Airoldi, F Mealli

   (57 cit.)

2. The proximal Robbins-Monro method     Journal of the Royal Statistical Society: Series B (Statistical Methodology), 2020 By P Toulis, T Horel, EM Airoldi

   (14 cit.)

3. Stacking models for nearly optimal link prediction in complex networks     Proceedings of the National Academy of Sciences, 117 (38), 23393-23400, 2020 By A Ghasemian, H Hosseinmardi, A Galstyan, EM Airoldi, A Clauset

   (11 cit.)

4. Nonstandard conditionally specified models for nonignorable missing data     Proceedings of the National Academy of Sciences, 117 (32), 19045-19053, 2020 By AM Franks, EM Airoldi, DB Rubin

   (7 cit.)

5. Causal inference with bipartite designs     arXiv preprint, 2010.02108, 2020 By N Doudchenko, M Zhang, E Drynkin, E Airoldi, V Mirrokni et al.

   (4 cit.)

6. Machine learning model for estimating confidential information response     US Patent, 10,558,923, 2020 By K Kenthapadi, SM Ambler, EM Airoldi

   (0 cit.)

7. Intersection of the web-based vaping narrative with COVID-19: A topic modeling study     Journal of Medical Internet Research, 22 (10), e21743, 2020 By K Janmohamed, AN Soale, L Forastiere, W Tang, Y Sha, J Demant et al.

   (0 cit.)

2019

8. Testing for arbitrary interference on experimentation platforms     Biometrika, 106 (4), 929–940, 2019 By J Pouget-Abadie, G Saint-Jacques, S Saveski, W Duan, S Ghosh, Y Xu et al.

   (14 cit.)

9. Quantifying Homologous Proteins and Proteoforms     Molecular & Cellular Proteomics, 18 (1), 162-168, 2019 By D Malioutov, T Chen, EM Airoldi, J Jaffe, B Budnik, N Slavov

   (14 cit.)

10. The structure of negative social ties in rural village networks     Sociological Science, 6, 197-218, 2019 By A Isakov, JH Fowler, EM Airoldi, NA Christakis

    (10 cit.)

11. A coevolution model of network structure and user behavior: The case of content generation in online social networks     Information Systems Research, 30 (1), 117–132, 2019 By P Bhattacharya, TQ Phan, X Bai, EM Airoldi

    (6 cit.)

12. Hybrid mixed-membership blockmodels for inference on realistic network interactions     IEEE Transactions on Network Science and Engineering, 6 (3), 336 - 350, 2019 By EK Kao, ST Smith, EM Airoldi

    (5 cit.)

13. Latent space modeling of hypergraph data     arXiv preprint, 1909.00472, 2019 By K Turnbull, S Lunagomez Coria, C Nemeth, E Airoldi

    (2 cit.)

14. Effects of new media on eviction rates     International Conference on Data Analytics, 8, 55-56, 2019 By R Ruane, Y Vorotyntseva, S Kumar, EM Airoldi

    (0 cit.)

2018

15. Model-assisted design of experiments in the presence of network-correlated outcomes     Biometrika, 105 (4), 849-858, 2018 By GW Basse, EM Airoldi

    (41 cit.)

16. Limitations of design-based causal inference and A/B testing under arbitrary and network interference     Sociological Methodology, 48 (1), 136-151, 2018 By GW Basse, EM Airoldi

    (12 cit.)

17. Cyclic motifs in the Sardex monetary network     Nature human behaviour, 2 (11), 822-829, 2018 By G Iosifidis, Y Charette, EM Airoldi, G Littera, L Tassiulas, NA Christakis

    (11 cit.)

18. Optimizing cluster-based randomized experiments under monotonicity     ACM International Conference on Knowledge Discovery and Data Mining (KDD), 24 …, 2018 By J Pouget-Abadie, V Mirrokni, DC Parkes, EM Airoldi

    (11 cit.)

19. A systematic investigation of classical causal inference strategies under mis-specification due to network interference     arXiv preprint, no., 1810.08259, 2018 By V Karwa, EM Airoldi

    (8 cit.)

20. Estimating causal effects under interference using Bayesian generalized propensity scores     arXiv preprint, 1807.11038, 2018 By L Forastiere, F Mealli, A Wu, E Airoldi

    (8 cit.)

21. Propensity score methodology in the presence of network entanglement between treatments     arXiv preprint, 1801.07310, 2018 By P Toulis, A Volfovsky, EM Airoldi

    (7 cit.)

22. Evaluating and optimizing network sampling designs: Decision theory and information theory perspectives     arXiv preprint, 1811.07829, 2018 By S Lunagómez, M Papamichalis, PJ Wolfe, EM Airoldi

    (2 cit.)

23. Estimating peer-influence effects under homophily: Randomized treatments and insights     International Workshop on Complex Networks, 323-347, 2018 By N Biswas, EM Airoldi

    (2 cit.)

24. Refining cellular pathway models using an ensemble of heterogeneous data sources     Annals of Applied Statistics, 12 (3), 1361-1384, 2018 By A Franks, F Markowetz, E Airoldi

    (1 cit.)

25. Estimating Causal Effects on Social Networks     IEEE International Conference on Data Science and Advanced Analytics (DSAA …, 2018 By L Forastiere, F Mealli, A Wu, EM Airoldi

    (0 cit.)

2017

26. Post-transcriptional regulation across human tissues     PLoS computational biology, 13 (5), e1005535, 2017 By A Franks, E Airoldi, N Slavov

    (80 cit.)

27. Asymptotic and finite-sample properties of estimators based on stochastic gradients     Annals of Statistics, 45 (4), 1694-1727, 2017 By P Toulis, EM Airoldi

    (79 cit.)

28. Detecting network effects: Randomizing over randomized experiments     ACM International Conference on Knowledge Discovery and Data Mining (KDD), 23 …, 2017 By M Saveski, J Pouget-Abadie, G Saint-Jacques, W Duan, S Ghosh, Y Xu et al.

    (46 cit.)

29. Elements of estimation theory for causal effects in the presence of network interference     arXiv preprint, no., 1702.03578, 2017 By DL Sussman, EM Airoldi

    (30 cit.)

30. Exploiting social influence to magnify population-level behaviour change in maternal and child health: Study protocol for a randomised controlled trial of network targeting …     BMJ Open, 7, e012996, 2017 By HB Shakya, D Stafford, DA Hughes, T Keegan, R Negron, J Broome et al.

    (29 cit.)

31. Geometric representations of random hypergraphs     Journal of the American Statistical Association, 112 (517), 363-383, 2017 By S Lunagómez, S Mukherjee, RL Wolpert, EM Airoldi

    (15 cit.)

32. SLANTS: Sequential adaptive nonlinear modeling of time series     IEEE Transactions on Signal Processing, 2017 By Q Han, J Ding, E Airoldi, V Tarokh

    (10 cit.)

33. The strength of weak ties: Causal evidence using people-you-may-know randomizations     Workshop on Information Systems and Economics (WISE), 2017 By G Saint-Jacques, S Aral, E Brynjolfsson, Y Xu, EM Airoldi

    (2 cit.)

34. Modeling nonlinearity in multi-dimensional dependent data     IEEE Global Conference on Signal and Information Processing (GlobalSIP), 206-210, 2017 By Q Han, J Ding, E Airoldi, V Tarokh

    (2 cit.)

35. The effective estimand     , 2017 By A D’Amour, EM Airoldi

    (2 cit.)

36. Bias reduction of peer influence effects with latent coordinates and community membership     IEEE International Conference on Big Data (Big Data), 3098-3103, 2017 By D Rajchwald, N Markuzon, E Airoldi

    (0 cit.)

37. Causal inference for dyadic outcomes in social network analysis     , 2017 By AN D’Amour, EM Airoldi

    (0 cit.)

2016

38. Guidelines for the use and interpretation of assays for monitoring autophagy     Autophagy, 12 (1), 1-222, 2016 By DJ Klionsky, K Abdelmohsen, A Abe, MJ Abedin, H Abeliovich et al.

    (7414 cit.)

39. Statistical network analysis with the igraph software package     New York, NY: Springer, 2016 By G Csárdi, T Nepusz, EM Airoldi

    (7413 cit.)

40. A model of text for experimentation in the social sciences     Journal of the American Statistical Association, 111 (515), 988-1003, 2016 By ME Roberts, BM Stewart, EM Airoldi

    (301 cit.)

41. Defining the essential function of yeast Hsf1 reveals a compact transcriptional program for maintaining eukaryotic proteostasis     Molecular Cell, 2016 By EJ Solís, JP Pandey, X Zheng, DX Jin, PB Gupta, EM Airoldi, D Pincus et al.

    (108 cit.)

42. Improving and evaluating topic models and other models of text (with discussion)     Journal of the American Statistical Association, 111 (516), 1381-1403, 2016 By EM Airoldi, JM Bischof

    (48 cit.)

43. Toward stability and optimality in stochastic gradient descent     Artificial Intelligence and Statistics (AISTATS), 51, 1290–1298, 2016 By P Toulis, D Tran, EM Airoldi

    (46 cit.)

44. Assessing the impact of granular privacy controls on content sharing and disclosure on Facebook     Information Systems Research, 27 (4), 848–879, 2016 By H Cavusoglu, TQ Phan, H Cavusoglu, EM Airoldi

    (44 cit.)

45. Steady-state and dynamic gene expression programs in Saccharomyces cerevisiae in response to variation in environmental nitrogen     Molecular biology of the cell, 27 (8), 1383-1396, 2016 By EM Airoldi, D Miller, R Athanasiadou, N Brandt, F Abdul-Rahman et al.

    (27 cit.)

46. A computational approach to map nucleosome positions and alternative chromatin states with base pair resolution     Elife, 5, e16970, 2016 By X Zhou, AW Blocker, EM Airoldi, EK O'Shea

    (13 cit.)

47. Stochastic gradient methods for principled estimation with large datasets     Handbook of Big Data, 241-265, 2016 By P Toulis, EM Airoldi

    (4 cit.)

48. Misspecification, sparsity, and superpopulation inference for sparse social networks     , 2016 By A D’Amour, E Airoldi

    (4 cit.)

49. Sharp total variation bounds for finitely exchangeable arrays     Statistics & Probability Letters, 114, 54-59, 2016 By A Volfovsky, EM Airoldi

    (3 cit.)

50. Observational studies with unknown time of treatment     arXiv preprint, 1601.04083, 2016 By GW Basse, A Volfovsky, EM Airoldi

    (2 cit.)

51. R package ‘sgd’     CRAN, 2016 By JL Kim, D Tran, P Toulis, T Lian, Y Kuang, E Airoldi

    (2 cit.)

52. Template-based models for genome-wide analysis of next-generation sequencing data at base-pair resolution     Journal of the American Statistical Association, 111 (515), 967-987, 2016 By AW Blocker, EM Airoldi

    (1 cit.)

53. Privacy Tools project response to Common Rule Notice of Proposed Rule Making     Comment on the Department of Health and Human Services (HHS) Proposed …, 2016 By A Wood, E Airoldi, M Altman, Y de Montandre, U Gasser, D O'Brien et al.

    (0 cit.)

2015

54. Reversible, specific, active aggregates of endogenous proteins assemble upon heat stress     Cell, 162 (6), 1286-1298, 2015 By EWJ Wallace, JL Kear-Scott, EV Pilipenko, MH Schwartz, PR Laskowski et al.

    (264 cit.)

55. Accounting for experimental noise reveals that mRNA levels, amplified by post-transcriptional processes, largely determine steady-state protein levels in yeast     PLoS Genetics, 11 (5), e1005206, 2015 By G Csárdi, A Franks, DS Choi, EM Airoldi, DA Drummond

    (143 cit.)

56. Differential stoichiometry among core ribosomal proteins     Cell Reports, 2015 By N Slavov, S Semrau, EM Airoldi, B Budnik, A van Oudenaarden

    (129 cit.)

57. Quantitative visualization of alternative exon expression from RNA-seq data     Bioinformatics, 31 (14), 2400-2402, 2015 By Y Katz, ET Wang, J Silterra, S Schwartz, B Wong, H Thorvaldsdóttir et al.

    (116 cit.)

58. A natural experiment of social network formation and dynamics     Proceedings of the National Academy of Sciences, 112 (21), 6595-6600, 2015 By TQ Phan, EM Airoldi

    (97 cit.)

59. Consistent estimation of dynamic and multi-layer networks     International Conference on Machine Learning (ICML), 32, 1511-1520, 2015 By Q Han, KS Xu, EM Airoldi

    (87 cit.)

60. Predicting traffic volumes and estimating the effects of shocks in massive transportation systems     Proceedings of the National Academy of Sciences, 112 (18), 5643-5648, 2015 By R Silva, SM Kang, EM Airoldi

    (65 cit.)

61. Copula variational inference     Advances in Neural Information Processing Systems (NIPS), 2015 By D Tran, DM Blei, EM Airoldi

    (64 cit.)

62. Scalable estimation strategies based on stochastic approximations: Classical results and new insights     Statistics and computing, 25 (4), 781-795, 2015 By P Toulis, EM Airoldi

    (35 cit.)

63. Causal inference for ordinal outcomes     arXiv preprint, 1501.01234, 2015 By A Volfovsky, EM Airoldi, DB Rubin

    (20 cit.)

64. Estimating a structured covariance matrix from multilab measurements in high-throughput biology     Journal of the American Statistical Association, 110 (509), 27-44, 2015 By AM Franks, G Csárdi, DA Drummond, EM Airoldi

    (12 cit.)

65. Stochastic gradient descent methods for estimation with large data sets     arXiv preprint, 1509.06459, 2015 By D Tran, P Toulis, EM Airoldi

    (11 cit.)

66. Analyzing the co-evolution of network structure and content generation in online social networks     European Conference on Information Systems (ECIS), 18, 2015 By P Bhattacharya, TQ Phan, EM Airoldi

    (8 cit.)

67. A multivariate computational method to analyze high-content RNAi screening data     Journal of Biomolecular Screening, 20 (8), 985–997, 2015 By J Rameseder, K Krismer, Y Dayma, T Ehrenberger, MK Hwang et al.

    (8 cit.)

68. Analyzing statistical and computational tradeoffs of estimation procedures     arXiv preprint, 1506.07925, 2015 By DL Sussman, A Volfovsky, EM Airoldi

    (2 cit.)

69. Species sampling priors for modeling dependence: An application to the detection of chromosomal aberrations     Nonparametric Bayesian Inference in Biostatistics, 97-114, 2015 By F Bassetti, F Leisen, E Airoldi, M Guindani

    (2 cit.)

70. R package ‘networktomography’     CRAN, 2015 By AW Blocker, P Koullick, EM Airoldi

    (0 cit.)

2014

71. Handbook of Mixed Membership Models and Their Applications     Chapman & Hall/CRC, 2014 By EM Airoldi, DM Blei, EA Erosheva, SE Fienberg

    (94 cit.)

72. A consistent histogram estimator for exchangeable graph models     International Conference on Machine Learning (ICML), 31, 208-216, 2014 By S Chan, E Airoldi

    (79 cit.)

73. Musashi proteins are post-transcriptional regulators of the epithelial-luminal cell state     eLife, 2014 By Y Katz, F Li, NJ Lambert, ES Sokol, WL Tam, AW Cheng, EM Airoldi et al.

    (73 cit.)

74. Constant growth rate can be supported by decreasing energy flux and increasing aerobic glycolysis     Cell Reports, 2014 By N Slavov, BA Budnik, D Schwab, E Airoldi, A van Oudenaarden

    (68 cit.)

75. Statistical analysis of stochastic gradient methods for generalized linear models     International Conference on Machine Learning (ICML), 31, 667-675, 2014 By P Toulis, J Rennie, EM Airoldi

    (54 cit.)

76. Nonparametric estimation and testing of exchangeable graph models.     Artificial Intelligence and Statistics (AISTATS), 1060-1067, 2014 By J Yang, C Han, E Airoldi

    (50 cit.)

77. Introduction to mixed membership models and methods     Handbook of Mixed Membership Models and Their Applications, 3-13, 2014 By EM Airoldi, DM Blei, EA Erosheva, SE Fienberg

    (27 cit.)

78. Generalized species sampling priors with latent beta reinforcements     Journal of the American Statistical Association, 109 (508), 1466-1480, 2014 By EM Airoldi, T Costa, F Bassetti, F Leisen, M Guindani

    (27 cit.)

79. Implicit temporal differences     NIPS Reinforcement Learning Workshop, 2014 By A Tamar, P Toulis, S Mannor, EM Airoldi

    (12 cit.)

80. Learning modular structures from network data and node variables     International Conference on Machine Learning (ICML), 31, 1440-1448, 2014 By E Azizi, EM Airoldi, JE Galagan

    (12 cit.)

81. Bayesian inference from non-ignorable network sampling designs     arXiv preprint, 1401.4718, 2014 By S Lunagómez, E Airoldi

    (6 cit.)

82. Systems and methods for estimation and application of causal peer influence effects     US Patent App., 14/323,305, 2014 By EM Airoldi

    (5 cit.)

83. Robust estimation of topic summaries leveraging word frequency and exclusivity     Handbook of Mixed Membership Models and Their Applications, 275-302, 2014 By JM Bischof, EM Airoldi

    (0 cit.)

84. The emerging area of statistical network analysis     Annual Review of Statistics and Its Application, 2 (1), 2014 By EM Airoldi

    (0 cit.)

2013

85. The structural topic model and applied social science     NIPS Workshop on Topic Models: Computation, Application, and Evaluation, 4, 1-20, 2013 By ME Roberts, BM Stewart, D Tingley, EM Airoldi

    (610 cit.)

86. Stochastic blockmodel approximation of a graphon: Theory and consistent estimation     Advances in Neural Information Processing Systems (NIPS), 2013 By EM Airoldi, TB Costa, SH Chan

    (157 cit.)

87. Estimating selection on synonymous codon usage from noisy experimental data     Molecular biology and evolution, 30 (6), 1438-1453, 2013 By EWJ Wallace, EM Airoldi, DA Drummond

    (39 cit.)

88. Estimating latent processes on a network from indirect measurements     Journal of the American Statistical Association, 108 (501), 149-164, 2013 By EM Airoldi, AW Blocker

    (31 cit.)

89. Inference of network summary statistics through network denoising     arXiv preprint, 1310.0423, 2013 By P Balachandran, E Airoldi, E Kolaczyk

    (16 cit.)

90. Multi-way blockmodels for analyzing coordinated high-dimensional responses     Annals of Applied Statistics, 7 (4), 2431-2457, 2013 By EM Airoldi, X Wang, X Lin

    (8 cit.)

91. Estimation of exchangeable graph models by stochastich blockmodel approximation     IEEE Global Conference on Signal and Information Processing (GlobalSIP), 293-296, 2013 By SH Chan, TB Costa, EM Airoldi

    (5 cit.)

92. Quantifying condition-dependent intracellular protein levels enables high-precision fitness estimates     PLOS ONE, 8 (9), e75320, 2013 By KA Geiler-Samerotte, T Hashimoto, MF Dion, BA Budnik, EM Airoldi et al.

    (5 cit.)

93. Stephen E. Fienberg's contributions to categorical data analysis and the social sciences     CHANCE, 26 (4), 12-14, 2013 By EM Airoldi

    (0 cit.)

94. R package ‘tpe’     CRAN, 2013 By AD Shieh, TB Hashimoto, EM Airoldi

    (0 cit.)

95. Discussion of "How to find an appropriate clustering for mixed‐type variables with application to socio‐economic stratification" by Hennig and Liao     Journal of the Royal Statistical Society: Series A (Statistics in Society …, 2013 By A Feller, EM Airoldi

    (0 cit.)

2012

96. Stochastic blockmodels with a growing number of classes     Biometrika, 99 (2), 273-284, 2012 By DS Choi, PJ Wolfe, EM Airoldi

    (225 cit.)

97. Summarizing topical content with word frequency and exclusivity     Proceedings of the, 29th International Conference on Machine Learning (ICML …, 2012 By J Bischof, EM Airoldi

    (105 cit.)

98. Graphlet decomposition of a weighted network     Artificial Intelligence and Statistics (AISTATS), 54-63, 2012 By H Azari Soufiani, EM Airoldi

    (53 cit.)

99. A conserved cell growth cycle can account for the environmental stress responses of divergent eukaryotes     Molecular Biology of the Cell, 23 (10), 1986-1997, 2012 By N Slavov, EM Airoldi, A van Oudenaarden, D Botstein

    (46 cit.)

100. Causal estimation of peer influence effects     NIPS Workshop on Social Network and Social Media Analysis, 2012 By E Kao, P Toulis, EM Airoldi, DB Rubin

     (18 cit.)

2011

101. Network sampling and classification: An investigation of network model representations     Decision support systems, 51 (3), 506-518, 2011 By EM Airoldi, X Bai, KM Carley

     (46 cit.)

102. Tree preserving embedding     Proceedings of the National Academy of Sciences, 108 (41), 16916-16921, 2011 By AD Shieh, TB Hashimoto, EM Airoldi

     (28 cit.)

103. An entropy approach to disclosure risk assessment: Lessons from real applications and simulated domains     Decision support systems, 51 (1), 10-20, 2011 By EM Airoldi, X Bai, BA Malin

     (25 cit.)

104. Confidence sets for network structure     Statistical Analysis and Data Mining: The ASA Data Science Journal, 4 (5 …, 2011 By EM Airoldi, DS Choi, PJ Wolfe

     (20 cit.)

105. Polytope samplers for inference in ill-posed inverse problems.     Artificial Intelligence and Statistics (AISTATS), 110-118, 2011 By E Airoldi, B Haas

     (10 cit.)

106. Small sets of interacting proteins suggest functional linkage mechanisms via Bayesian analogical reasoning     Bioinformatics, 27 (13), i374-i382, 2011 By EM Airoldi, KA Heller, R Silva

     (5 cit.)

107. Deconvolution of mixing time series on a graph     Uncertainty in Artificial Intelligence (UAI), 2011 By AW Blocker, EM Airoldi

     (4 cit.)

2010

108. Analysis and design of RNA sequencing experiments for identifying isoform regulation     Nature methods, 7 (12), 1009-1015, 2010 By Y Katz, ET Wang, EM Airoldi, CB Burge

     (1166 cit.)

109. A survey of statistical network models     Foundations and Trends in Machine Learning, 2 (2), 129-233, 2010 By A Goldenberg, AX Zheng, SE Fienberg, EM Airoldi

     (886 cit.)

110. Reconceptualizing the classification of PNAS articles     Proceedings of the National Academy of Sciences, 107 (49), 20899-20904, 2010 By EM Airoldi, EA Erosheva, SE Fienberg, C Joutard, T Love, S Shringarpure

     (45 cit.)

111. Mapping dynamic histone acetylation patterns to gene expression in nanog-depleted murine embryonic stem cells     PLoS Comput Biol, 6 (12), e1001034, 2010 By F Markowetz, KW Mulder, EM Airoldi, IR Lemischka, OG Troyanskaya

     (28 cit.)

112. Ranking relations using analogies in biological and information networks     Annals of Applied Statistics, 4 (2), 615, 2010 By R Silva, K Heller, Z Ghahramani, EM Airoldi

     (9 cit.)

113. Hierarchical Bayesian mixed-membership models and latent pattern discovery     Frontiers of Statistical Decision Making and Bayesian Analysis: In Honor of …, 2010 By EM Airoldi, SE Fienberg, C Joutard, T Love

     (5 cit.)

2009

114. Systems-level dynamic analyses of fate change in murine embryonic stem cells     Nature, 462 (7271), 358-362, 2009 By R Lu, F Markowetz, RD Unwin, JT Leek, EM Airoldi, BD MacArthur et al.

     (272 cit.)

115. Predicting cellular growth from gene expression signatures     PLoS Computational Biology, 5 (1), e1000257, 2009 By EM Airoldi, C Huttenhower, D Gresham, C Lu, AA Caudy, MJ Dunham et al.

     (120 cit.)

116. The exchangeable graph model     Harvard University, Unpublished note, 2009 By EM Airoldi

     (5 cit.)

117. Aneuploidy prediction and tumor classification with heterogeneous hidden conditional random fields     Bioinformatics, 25 (10), 1307-1313, 2009 By Z Barutcuoglu, EM Airoldi, V Dumeaux, RE Schapire, OG Troyanskaya

     (3 cit.)

2008

118. Mixed membership stochastic blockmodels     Journal of Machine Learning Research, 9 (3), 1981-2014, 2008 By EM Airoldi, DM Blei, SE Fienberg, EP Xing

     (2080 cit.)

119. Coordination of growth rate, cell cycle, stress response, and metabolic activity in yeast     Molecular biology of the cell, 19 (1), 352-367, 2008 By MJ Brauer, C Huttenhower, EM Airoldi, R Rosenstein, JC Matese et al.

     (547 cit.)

120. Discovery of latent patterns with hierarchical bayesian mixed-membership models and the issue of model choice     Data Mining Patterns: New Methods and Applications, 240-275, 2008 By CJ Joutard, EM Airoldi, TM Love

     (38 cit.)

121. Network Analysis of Wikipedia     Statistical Methods in e‐Commerce Research, 81-102, 2008 By R Warren, E Airoldi, D Banks

     (35 cit.)

2007

122. Getting started in probabilistic graphical models     PLoS Computational Biology, 3 (12), e252, 2007 By EM Airoldi

     (72 cit.)

123. Confidentiality preserving audits of electronic medical record access     Studies in Health Technology and Informatics (MedInfo), 129 (1), 320-324, 2007 By B Malin, E Airoldi

     (28 cit.)

124. Whose ideas? Whose words? Authorship of Ronald Reagan's radio addresses     PS: Political Science and Politics, 40 (3), 501-506, 2007 By EM Airoldi, SE Fienberg, KK Skinner

     (25 cit.)

125. Statistical Network Analysis: Models, Issues, and New Directions     Springer, 2007 By EM Airoldi, DM Blei, SE Fienberg, A Goldenberg, EP Xing, AX Zheng

     (21 cit.)

126. Mixed membership analysis of genome-wide expression data     arXiv preprint, 0711.2520, 2007 By EM Airoldi, SE Fienberg, EP Xing

     (8 cit.)

127. Discussion of "Model‐based clustering for social networks" by Handcock, Raftery and Tantrum     Journal of the Royal Statistical Society: Series A (Statistics in Society …, 2007 By EM Airoldi

     (8 cit.)

128. A new machine learning classifier for high dimensional healthcare data     Studies in Health Technology and Informatics (MedInfo), 129, 664-668, 2007 By R Padman, X Bai, EM Airoldi

     (3 cit.)

129. Statistical discovery of signaling pathways from an ensemble of weakly informative data sources     NIPS Workshop on Statistical Models of Networks, 2007 By EM Airoldi, F Markowetz, DM Blei, O Troyanskaya

     (1 cit.)

130. A dynamic theory of social failure in isolated communities     NIPS Workshop on Statistical Models of Networks, 2007 By E Airoldi, D Blei, E Xing, S Fienberg

     (0 cit.)

2006

131. Mixed membership stochastic block models for relational data with application to protein-protein interactions     ENAR International Biometrics Society Annual Meeting, 2006 By EM Airoldi, DM Blei, SE Fienberg, EP Xing

     (175 cit.)

132. Who wrote Ronald Reagan's radio addresses?     Bayesian Analysis, 1 (2), 289-319, 2006 By EM Airoldi, AG Anderson, SE Fienberg, KK Skinner

     (64 cit.)

133. Combining stochastic block models and mixed membership for statistical network analysis     ICML Workshop on Statistical Network Analysis, 57-74, 2006 By EM Airoldi, DM Blei, SE Fienberg, EP Xing

     (27 cit.)

134. Bayesian mixed-membership models of complex and evolving networks     Carnegie Mellon University, School of Computer Science, 2006 By EM Airoldi

     (16 cit.)

135. The effects of location access behavior on re-identification risk in a distributed environment     International Workshop on Privacy Enhancing Technologies (PET), 413-429, 2006 By B Malin, E Airoldi

     (13 cit.)

136. Latent mixed-membership allocation models of relational and multivariate attribute data     Valencia & ISBA Joint World Meeting on Bayesian Statistics, 2006 By EM Airoldi, DM Blei, SE Fienberg, EP Xing

     (6 cit.)

137. Extracting names from websites containing lists of people     Carnegie Mellon University, Technical Report CMU-ISRI, 2006 By W Gronim, E Airoldi, L Sweeney

     (0 cit.)

2005

138. Integrating utility into face de-identification     International Workshop on Privacy Enhancing Technologies (PET), 227-242, 2005 By R Gross, E Airoldi, B Malin, L Sweeney

     (116 cit.)

139. A network analysis model for disambiguation of names in lists     Computational & Mathematical Organization Theory, 11 (2), 119-139, 2005 By B Malin, E Airoldi, KM Carley

     (91 cit.)

140. Sampling algorithms for pure network topologies: a study on the stability and the separability of metric embeddings     ACM SIGKDD Explorations Newsletter, 7 (2), 13-22, 2005 By EM Airoldi, KM Carley

     (76 cit.)

141. A latent mixed membership model for relational data     ACM KDD International Workshop on Link Discovery, 3, 82-89, 2005 By E Airoldi, D Blei, E Xing, S Fienberg

     (61 cit.)

142. On learning parsimonious models for extracting consumer opinions     IEEE Annual Hawaii International Conference on System Sciences (HICSS), 38 …, 2005 By X Bai, R Padman, E Airoldi

     (36 cit.)

143. Bayesian models for frequent terms in text     Classification Society of North America and INTERFACE Annual Meetings, 990, 991, 2005 By EM Airoldi, WW Cohen, SE Fienberg

     (32 cit.)

144. Configurable security protocols for multi-party data analysis with malicious participants     IEEE International Conference on Data Engineering (ICDE), 21, 533-544, 2005 By B Malin, E Airoldi, S Edoho-Eket, Y Li

     (19 cit.)

145. Technologies to defeat fraudulent schemes related to email requests.     AAAI Spring Symposium: AI Technologies for Homeland Security, 133-135, 2005 By EM Airoldi, B Malin, L Sweeney

     (3 cit.)

2004

146. Markov blankets and meta-heuristics search: Sentiment extraction from unstructured texts     International Workshop on Knowledge Discovery on the Web, 167-187, 2004 By E Airoldi, X Bai, R Padman

     (56 cit.)

147. Sentiment extraction from unstructured text using tabu search-enhanced markov blanket     Carnegie Mellon University, Technical Report CMU-ISRI, 4 (127), 2004 By X Bai, R Padman, E Airoldi

     (45 cit.)

148. Data mining challenges for electronic safety: the case of fraudulent intent detection in e-mails     Workshop on Privacy and Security Aspects of Data Mining, 57-66, 2004 By E Airoldi, B Malin

     (39 cit.)

149. Recovering latent time-series from their observed sums: network tomography with particle filters.     ACM International Conference on Knowledge Discovery and Data Mining (KDD), 10 …, 2004 By E Airoldi, C Faloutsos

     (22 cit.)

150. ScamSlam: An architecture for learning the criminal relations behind scam spam     Carnegie Mellon University, Technical Report CMU-ISRI, 4 (121), 2004 By E Airoldi, B Malin

     (8 cit.)

151. Notes on the Negative Binomial distribution for word occurrences     Carnegie Mellon University, Unpublished note, 2004 By EM Airoldi

     (0 cit.)

2003

152. Who Wrote Ronald Reagan's Radio Addresses?     Carnegie Mellon University, Technical Report CMU-STAT, 3 (789), 2003 By EM Airoldi

     (7 cit.)

153. Advances in network tomography     Carnegie Mellon University, Technical Report CMU-CALD, 3 (101), 2003 By EM Airoldi

     (4 cit.)

Other reports     (Google Scholar archive)

• A linear model framework for genome-scale functional analysis based on the gene ontology
  Princeton University, Lewis-Sigler Institute, 2009
  By T Hashimoto✝, DJ Gresham, D Botstein, EM Airoldi

• Weak convergence of probability measures, with an application to Girone-Cifarelli (in Italian)
  Bocconi University, Institute for Quantitative Methods, 1998
  EM Airoldi