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ORCIDEdoardo M. Airoldi
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- affiliation: Harvard University, Department of Statistics, Cambridge, MA, USA
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2020 – today
- 2022
[j21]Laura Forastiere, Fabrizia Mealli, Albert Wu, Edoardo M. Airoldi:
Estimating Causal Effects under Network Interference with Bayesian Generalized Propensity Scores. J. Mach. Learn. Res. 23: 289:1-289:61 (2022)- [i21]Fernando Galaz-Garcia, Marios Papamichalis, Kathryn Turnbull, Simon Lunagomez, Edoardo M. Airoldi:
Wrapped Distributions on homogeneous Riemannian manifolds. CoRR abs/2204.09790 (2022) - [i20]Christina Lee Yu, Edoardo M. Airoldi, Christian Borgs, Jennifer T. Chayes:
Graph Agnostic Randomized Experimental Design. CoRR abs/2205.12803 (2022) - 2020
- [j20]Amir Ghasemian
, Homa Hosseinmardi, Aram Galstyan, Edoardo M. Airoldi, Aaron Clauset:
Stacking models for nearly optimal link prediction in complex networks. Proc. Natl. Acad. Sci. USA 117(38): 23393-23400 (2020)
2010 – 2019
- 2019
- [j19]Prasanta Bhattacharya, Tuan Quang Phan, Xue Bai, Edoardo M. Airoldi:
A Coevolution Model of Network Structure and User Behavior: The Case of Content Generation in Online Social Networks. Inf. Syst. Res. 30(1): 117-132 (2019) - [j18]Edward K. Kao, Steven Thomas Smith, Edoardo M. Airoldi:
Hybrid Mixed-Membership Blockmodel for Inference on Realistic Network Interactions. IEEE Trans. Netw. Sci. Eng. 6(3): 336-350 (2019) - [i19]Amir Ghasemian, Homa Hosseinmardi, Aram Galstyan, Edoardo M. Airoldi, Aaron Clauset:
Stacking Models for Nearly Optimal Link Prediction in Complex Networks. CoRR abs/1909.07578 (2019) - 2018
- [c35]Laura Forastiere, Fabrizia Mealli, Albert Wu, Edoardo M. Airoldi:
Estimating Causal Effects on Social Networks. DSAA 2018: 60-69 - [c34]Jean Pouget-Abadie, Vahab S. Mirrokni, David C. Parkes, Edoardo M. Airoldi:
Optimizing Cluster-based Randomized Experiments under Monotonicity. KDD 2018: 2090-2099 - 2017
- [j17]Alexander Franks, Edoardo M. Airoldi, Nikolai Slavov:
Post-transcriptional regulation across human tissues. PLoS Comput. Biol. 13(5) (2017) - [j16]Qiuyi Han, Jie Ding, Edoardo M. Airoldi, Vahid Tarokh:
SLANTS: Sequential Adaptive Nonlinear Modeling of Time Series. IEEE Trans. Signal Process. 65(19): 4994-5005 (2017) - [c33]Daniel Rajchwald, Natasha Markuzon, Edoardo M. Airoldi:
Bias reduction of peer influence effects with latent coordinates and community membership. IEEE BigData 2017: 3098-3103 - [c32]Qiuyi Han, Jie Ding, Edoardo M. Airoldi, Vahid Tarokh:
Modeling nonlinearity in multi-dimensional dependent data. GlobalSIP 2017: 206-210 - [c31]Martin Saveski, Jean Pouget-Abadie, Guillaume Saint-Jacques, Weitao Duan, Souvik Ghosh, Ya Xu, Edoardo M. Airoldi:
Detecting Network Effects: Randomizing Over Randomized Experiments. KDD 2017: 1027-1035 - 2016
- [j15]Huseyin Cavusoglu, Tuan Quang Phan, Hasan Cavusoglu, Edoardo M. Airoldi:
Assessing the Impact of Granular Privacy Controls on Content Sharing and Disclosure on Facebook. Inf. Syst. Res. 27(4): 848-879 (2016) - [c30]Panos Toulis, Dustin Tran, Edoardo M. Airoldi:
Towards Stability and Optimality in Stochastic Gradient Descent. AISTATS 2016: 1290-1298 - [p1]Panos Toulis, Edoardo M. Airoldi:
Stochastic Gradient Methods for Principled Estimation with Large Datasets. Handbook of Big Data 2016: 241-265 - 2015
- [j14]Yarden Katz, Eric T. Wang, Jacob Silterra, Schraga Schwartz, Bang Wong, Helga Thorvaldsdóttir, James T. Robinson, Jill P. Mesirov, Edoardo M. Airoldi, Christopher B. Burge:
Quantitative visualization of alternative exon expression from RNA-seq data. Bioinform. 31(14): 2400-2402 (2015) - [j13]Panos Toulis, Edoardo M. Airoldi:
Scalable estimation strategies based on stochastic approximations: classical results and new insights. Stat. Comput. 25(4): 781-795 (2015) - [c29]Edoardo M. Airoldi, Hasan Cavusoglu, Huseyin Cavusoglu, Tuan Quang Phan:
Privacy Controls and Disclosure Behavior. AMCIS 2015 - [c28]Prasanta Bhattacharya, Tuan Quang Phan, Edoardo M. Airoldi:
Analyzing the Co-evolution of Network Structure and Content Generation in Online Social Networks. ECIS 2015 - [c27]Prasanta Bhattacharya, Tuan Phan, Edoardo M. Airoldi:
Investigating the Impact of Network Effects on Content Generation: Evidence from a Large Online Student Network. ICIS 2015 - [c26]Qiuyi Han, Kevin S. Xu, Edoardo M. Airoldi:
Consistent estimation of dynamic and multi-layer block models. ICML 2015: 1511-1520 - [c25]Dustin Tran, David M. Blei, Edoardo M. Airoldi:
Copula variational inference. NIPS 2015: 3564-3572 - [i18]Panos Toulis, Dustin Tran, Edoardo M. Airoldi:
Stability and optimality in stochastic gradient descent. CoRR abs/1505.02417 (2015) - [i17]Dustin Tran, David M. Blei, Edoardo M. Airoldi:
Variational inference with copula augmentation. CoRR abs/1506.03159 (2015) - [i16]Guillaume W. Basse, Edoardo M. Airoldi:
Optimal design of experiments in the presence of network-correlated outcomes. CoRR abs/1507.00803 (2015) - [i15]Prasanta Bhattacharya, Tuan Quang Phan, Xue Bai, Edoardo M. Airoldi:
Investigating The Impact Of Network Effects On Content Generation: Evidence From A Large Online Student Network. CoRR abs/1512.06469 (2015) - 2014
- [c24]Justin Yang, Christina Han, Edoardo M. Airoldi:
Nonparametric estimation and testing of exchangeable graph models. AISTATS 2014: 1060-1067 - [c23]Stanley H. Chan, Edoardo M. Airoldi:
A Consistent Histogram Estimator for Exchangeable Graph Models. ICML 2014: 208-216 - [c22]Panagiotis Toulis, Edoardo M. Airoldi, Jason Rennie:
Statistical analysis of stochastic gradient methods for generalized linear models. ICML 2014: 667-675 - [c21]Elham Azizi, Edoardo M. Airoldi, James E. Galagan:
Learning Modular Structures from Network Data and Node Variables. ICML 2014: 1440-1448 - [e2]Edoardo M. Airoldi, David M. Blei, Elena A. Erosheva, Stephen E. Fienberg:
Handbook of Mixed Membership Models and Their Applications. Chapman and Hall/CRC 2014, ISBN 978-1-4665-0408-0 [contents] - [r2]Edoardo M. Airoldi, David M. Blei, Elena A. Erosheva, Stephen E. Fienberg:
Introduction to Mixed Membership Models and Methods. Handbook of Mixed Membership Models and Their Applications 2014: 3-13 - [r1]Jonathan M. Bischof, Edoardo M. Airoldi:
Robust Estimation of Topic Summaries Leveraging Word Frequency and Exclusivity. Handbook of Mixed Membership Models and Their Applications 2014: 275-302 - [i14]Elham Azizi, James E. Galagan, Edoardo M. Airoldi:
Learning modular structures from network data and node variables. CoRR abs/1405.2566 (2014) - [i13]Qiuyi Han, Kevin S. Xu, Edoardo M. Airoldi:
Consistent Estimation of Dynamic and Multi-layer Networks. CoRR abs/1410.8597 (2014) - [i12]Aviv Tamar, Panos Toulis, Shie Mannor, Edoardo M. Airoldi:
Implicit Temporal Differences. CoRR abs/1412.6734 (2014) - 2013
- [c20]Stanley H. Chan, Thiago B. Costa, Edoardo M. Airoldi:
Estimation of exchangeable graph models by stochastic blockmodel approximation. GlobalSIP 2013: 293-296 - [c19]Edoardo M. Airoldi, Thiago B. Costa, Stanley H. Chan:
Stochastic blockmodel approximation of a graphon: Theory and consistent estimation. NIPS 2013: 692-700 - [i11]Edoardo M. Airoldi, Thiago B. Costa, Stanley H. Chan:
Stochastic blockmodel approximation of a graphon: Theory and consistent estimation. CoRR abs/1311.1731 (2013) - 2012
- [c18]Jonathan Bischof, Edoardo M. Airoldi:
Capturing topical content with frequency and exclusivity. ICML 2012 - [c17]Hossein Azari Soufiani, Edoardo M. Airoldi:
Graphlet decomposition of a weighted network. AISTATS 2012: 54-63 - [i10]Hossein Azari Soufiani, Edoardo M. Airoldi:
Graphlet decomposition of a weighted network. CoRR abs/1203.2821 (2012) - [i9]Jonathan Bischof, Edoardo M. Airoldi:
Summarizing topical content with word frequency and exclusivity. CoRR abs/1206.4631 (2012) - 2011
- [j12]Edoardo M. Airoldi, Katherine A. Heller, Ricardo Bezerra de Andrade e Silva:
Small sets of interacting proteins suggest functional linkage mechanisms via Bayesian analogical reasoning. Bioinform. 27(13): 374-382 (2011) - [j11]Edoardo M. Airoldi, Xue Bai, Bradley A. Malin:
An entropy approach to disclosure risk assessment: Lessons from real applications and simulated domains. Decis. Support Syst. 51(1): 10-20 (2011) - [j10]Edoardo M. Airoldi, Xue Bai, Kathleen M. Carley:
Network sampling and classification: An investigation of network model representations. Decis. Support Syst. 51(3): 506-518 (2011) - [j9]Edoardo M. Airoldi, David S. Choi, Patrick J. Wolfe:
Confidence sets for network structure. Stat. Anal. Data Min. 4(5): 461-469 (2011) - [c16]Albert Shieh, Tatsunori B. Hashimoto, Edoardo M. Airoldi:
Tree preserving embedding. ICML 2011: 753-760 - [c15]David S. Choi, Patrick J. Wolfe, Edoardo M. Airoldi:
Confidence Sets for Network Structure. NIPS 2011: 2097-2105 - [c14]Alexander W. Blocker, Edoardo M. Airoldi:
Deconvolution of mixing time series on a graph. UAI 2011: 51-60 - [c13]Edoardo M. Airoldi, Bertrand Haas:
Polytope samplers for inference in ill-posed inverse problems. AISTATS 2011: 110-118 - [i8]Alexander W. Blocker, Edoardo M. Airoldi:
Deconvolution of mixing time series on a graph. CoRR abs/1105.2526 (2011) - [i7]Edoardo M. Airoldi, David S. Choi, Patrick J. Wolfe:
Confidence sets for network structure. CoRR abs/1105.6245 (2011) - 2010
- [j8]Florian Markowetz, Klaas W. Mulder, Edoardo M. Airoldi, Ihor Lemischka, Olga G. Troyanskaya:
Mapping Dynamic Histone Acetylation Patterns to Gene Expression in Nanog-Depleted Murine Embryonic Stem Cells. PLoS Comput. Biol. 6(12) (2010) - [i6]David S. Choi, Patrick J. Wolfe, Edoardo M. Airoldi:
Stochastic blockmodels with growing number of classes. CoRR abs/1011.4644 (2010) - [i5]Edoardo M. Airoldi, Federico Bassetti, Michele Guindani, Fabrizio Leisen:
Generalized Species Sampling Priors with Latent Beta reinforcements. CoRR abs/1012.0866 (2010)
2000 – 2009
- 2009
- [j7]Zafer Barutçuoglu, Edoardo M. Airoldi, Vanessa Dumeaux, Robert E. Schapire, Olga G. Troyanskaya:
Aneuploidy prediction and tumor classification with heterogeneous hidden conditional random fields. Bioinform. 25(10): 1307-1313 (2009) - [j6]Anna Goldenberg, Alice X. Zheng, Stephen E. Fienberg, Edoardo M. Airoldi:
A Survey of Statistical Network Models. Found. Trends Mach. Learn. 2(2): 129-233 (2009) - [j5]Edoardo M. Airoldi, Curtis Huttenhower, David Gresham, Charles Lu, Amy A. Caudy, Maitreya J. Dunham, James R. Broach, David Botstein, Olga G. Troyanskaya:
Predicting Cellular Growth from Gene Expression Signatures. PLoS Comput. Biol. 5(1) (2009) - [i4]Ricardo Bezerra de Andrade e Silva, Katherine A. Heller, Zoubin Ghahramani, Edoardo M. Airoldi:
Ranking Relations using Analogies in Biological and Information Networks. CoRR abs/0912.5193 (2009) - [i3]Anna Goldenberg, Alice X. Zheng, Stephen E. Fienberg, Edoardo M. Airoldi:
A survey of statistical network models. CoRR abs/0912.5410 (2009) - 2008
- [j4]Edoardo M. Airoldi, David M. Blei, Stephen E. Fienberg, Eric P. Xing:
Mixed Membership Stochastic Blockmodels. J. Mach. Learn. Res. 9: 1981-2014 (2008) - [c12]Edoardo M. Airoldi, David M. Blei, Stephen E. Fienberg, Eric P. Xing:
Mixed Membership Stochastic Blockmodels. NIPS 2008: 33-40 - 2007
- [j3]Edoardo M. Airoldi:
Getting Started in Probabilistic Graphical Models. PLoS Comput. Biol. 3(12) (2007) - [c11]Bradley A. Malin, Edoardo M. Airoldi:
Confidentiality Preserving Audits of Electronic Medical Record Access. MedInfo 2007: 320-324 - [c10]Rema Padman, Xue Bai, Edoardo M. Airoldi:
A New Machine Learning Classifier for High Dimensional Healthcare Data. MedInfo 2007: 664-668 - [e1]Edoardo M. Airoldi, David M. Blei, Stephen E. Fienberg, Anna Goldenberg, Eric P. Xing, Alice X. Zheng:
Statistical Network Analysis: Models, Issues, and New Directions - ICML 2006 Workshop on Statistical Network Analysis, Pittsburgh, PA, USA, June 29, 2006, Revised Selected Papers. Lecture Notes in Computer Science 4503, Springer 2007, ISBN 978-3-540-73132-0 [contents] - [i2]Edoardo M. Airoldi, David M. Blei, Stephen E. Fienberg, Eric P. Xing:
Mixed membership stochastic blockmodels. CoRR abs/0705.4485 (2007) - [i1]Edoardo M. Airoldi:
Getting started in probabilistic graphical models. CoRR abs/0706.2040 (2007) - 2006
- [c9]Edoardo M. Airoldi, David M. Blei, Stephen E. Fienberg, Eric P. Xing:
Combining Stochastic Block Models and Mixed Membership for Statistical Network Analysis. SNA@ICML 2006: 57-74 - [c8]Bradley A. Malin, Edoardo M. Airoldi:
The Effects of Location Access Behavior on Re-identification Risk in a Distributed Environment. Privacy Enhancing Technologies 2006: 413-429 - 2005
- [j2]Bradley A. Malin, Edoardo M. Airoldi, Kathleen M. Carley:
A Network Analysis Model for Disambiguation of Names in Lists. Comput. Math. Organ. Theory 11(2): 119-139 (2005) - [j1]Edoardo M. Airoldi, Kathleen M. Carley:
Sampling algorithms for pure network topologies: a study on the stability and the separability of metric embeddings. SIGKDD Explor. 7(2): 13-22 (2005) - [c7]Edoardo M. Airoldi, Bradley A. Malin, Latanya Sweeney:
Technologies to Defeat Fraudulent Schemes Related to Email Requests. AAAI Spring Symposium: AI Technologies for Homeland Security 2005: 133-135 - [c6]Xue Bai, Rema Padman, Edoardo M. Airoldi:
On Learning Parsimonious Models for Extracting Consumer Opinions. HICSS 2005 - [c5]Bradley A. Malin, Edoardo M. Airoldi, Samuel Edoho-Eket, Yiheng Li:
Configurable Security Protocols for Multi-party Data Analysis with Malicious Participants. ICDE 2005: 533-544 - [c4]Edoardo M. Airoldi, David M. Blei, Eric P. Xing, Stephen E. Fienberg:
A latent mixed membership model for relational data. LinkKDD 2005: 82-89 - [c3]Ralph Gross, Edoardo M. Airoldi, Bradley A. Malin, Latanya Sweeney:
Integrating Utility into Face De-identification. Privacy Enhancing Technologies 2005: 227-242 - 2004
- [c2]Edoardo M. Airoldi, Christos Faloutsos:
Recovering latent time-series from their observed sums: network tomography with particle filters. KDD 2004: 30-39 - [c1]Edoardo M. Airoldi, Xue Bai, Rema Padman:
Markov Blankets and Meta-heuristics Search: Sentiment Extraction from Unstructured Texts. WebKDD 2004: 167-187
Coauthor Index
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