Edoardo M Airoldi

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Stephen E Fienberg 1942-2016Maurice Falk University Professor of Statistics and Social ScienceAdresse e-mail validée de cs.cmu.edu
David BleiProfessor of Statistics and Computer Science, Columbia UniversityAdresse e-mail validée de columbia.edu
Eric XingPresident at Mohamed bin Zayed University of AI, Professor of Computer Science, Carnegie Mellon UAdresse e-mail validée de cs.cmu.edu
Gábor CsárdiPosit PBCAdresse e-mail validée de posit.co
Panos ToulisUniversity of Chicago, Booth SchoolAdresse e-mail validée de chicagobooth.edu
Alexander FranksDepartment of Statistics and Applied Probability, University of California Santa BarbaraAdresse e-mail validée de pstat.ucsb.edu
Margaret E. RobertsPolitical Science, University of California San DiegoAdresse e-mail validée de ucsd.edu
Brandon M. StewartPrinceton UniversityAdresse e-mail validée de princeton.edu
Olga TroyanskayaPrinceton University and Flatiron Institute, Simons FoundationAdresse e-mail validée de princeton.edu
Tamás NepuszDepartment of Biological Physics, Eötvös Loránd UniversityAdresse e-mail validée de hal.elte.hu
Bradley MalinAccenture Professor of Biomedical Informatics, Biostatistics, and Computer Science, VanderbiltAdresse e-mail validée de vanderbilt.edu
Eric WangUniversity of FloridaAdresse e-mail validée de ufl.edu
Tuan Q. PhanAssociate Professor of BusinessAdresse e-mail validée de hku.hk
Nikolai SlavovNortheastern University, Harvard University, MIT, Princeton UniversityAdresse e-mail validée de fas.harvard.edu
D. Allan DrummondAssociate Professor, Biochemistry and Molecular Biology, Genetic MedicineAdresse e-mail validée de uchicago.edu
Laura ForastiereAssociate ProfessorAdresse e-mail validée de yale.edu
David BotsteinPrinceton UniversityAdresse e-mail validée de princeton.edu
Dave ChoiCarnegie Mellon UniversityAdresse e-mail validée de andrew.cmu.edu
Jean Pouget-AbadieGoogle ResearchAdresse e-mail validée de google.com
Nicholas A. ChristakisProfessor, Yale UniversityAdresse e-mail validée de yale.edu

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Edoardo M Airoldi

Professor of Statistics & Data Science Temple University & PI, Harvard University

Adresse e-mail validée de fas.harvard.edu

Applied Statistics Causal Inference Network Science Statistical Machine Learning AI


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Statistical network analysis with the igraph software package G Csárdi, T Nepusz, EM Airoldi New York, NY: Springer, 2016	14817*	2016
Guidelines for the use and interpretation of assays for monitoring autophagy DJ Klionsky, K Abdelmohsen, A Abe, MJ Abedin, H Abeliovich, ... Autophagy 12 (1), 1-222, 2016	14222*	2016
Mixed membership stochastic blockmodels EM Airoldi, DM Blei, SE Fienberg, EP Xing Journal of Machine Learning Research 9 (3), 1981-2014, 2008	3132*	2008
The structural topic model and applied social science ME Roberts, BM Stewart, D Tingley, EM Airoldi NIPS Workshop on Topic Models: Computation, Application, and Evaluation 4, 1-20, 2013	2490*	2013
Analysis and design of RNA sequencing experiments for identifying isoform regulation Y Katz, ET Wang, EM Airoldi, CB Burge Nature methods 7 (12), 1009-1015, 2010	1567	2010
A survey of statistical network models A Goldenberg, AX Zheng, SE Fienberg, EM Airoldi Foundations and Trends in Machine Learning 2 (2), 129-233, 2010	1189	2010
A model of text for experimentation in the social sciences ME Roberts, BM Stewart, EM Airoldi Journal of the American Statistical Association 111 (515), 988-1003, 2016	915	2016
Coordination of growth rate, cell cycle, stress response, and metabolic activity in yeast MJ Brauer, C Huttenhower, EM Airoldi, R Rosenstein, JC Matese, ... Molecular biology of the cell 19 (1), 352-367, 2008	675	2008
Reversible, specific, active aggregates of endogenous proteins assemble upon heat stress EWJ Wallace, JL Kear-Scott, EV Pilipenko, MH Schwartz, PR Laskowski, ... Cell 162 (6), 1286-1298, 2015	537	2015
Summarizing topical content with word frequency and exclusivity J Bischof, EM Airoldi Proceedings of the 29th international conference on machine learning (icml …, 2012	359	2012
Systems-level dynamic analyses of fate change in murine embryonic stem cells R Lu, F Markowetz, RD Unwin, JT Leek, EM Airoldi, BD MacArthur, ... Nature 462 (7271), 358-362, 2009	336	2009
Stochastic blockmodels with a growing number of classes DS Choi, PJ Wolfe, EM Airoldi Biometrika 99 (2), 273-284, 2012	296	2012
Identification and estimation of treatment and interference effects in observational studies on networks L Forastiere, EM Airoldi, F Mealli Journal of the American Statistical Association, 2021	256	2021
Stochastic blockmodel approximation of a graphon: Theory and consistent estimation EM Airoldi, TB Costa, SH Chan Advances in Neural Information Processing Systems (NIPS), 2013	240	2013
Integrating utility into face de-identification R Gross, E Airoldi, B Malin, L Sweeney International Workshop on Privacy Enhancing Technologies (PET), 227-242, 2005	227	2005
Post-transcriptional regulation across human tissues A Franks, E Airoldi, N Slavov PLoS computational biology 13 (5), e1005535, 2017	223	2017
Differential stoichiometry among core ribosomal proteins N Slavov, S Semrau, EM Airoldi, B Budnik, A van Oudenaarden Cell Reports, 2015	220	2015
Defining the essential function of yeast Hsf1 reveals a compact transcriptional program for maintaining eukaryotic proteostasis EJ Solís, JP Pandey, X Zheng, DX Jin, PB Gupta, EM Airoldi, D Pincus, ... Molecular Cell, 2016	215	2016
Mixed membership stochastic block models for relational data with application to protein-protein interactions EM Airoldi, DM Blei, SE Fienberg, EP Xing ENAR International Biometrics Society Annual Meeting, 2006	212	2006
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	211	2015

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