Markov Blankets and Meta-heuristics Search: Sentiment Extraction from Unstructured Texts. - Edoardo M. Airoldi; Xue Bai; Rema Padman (WebKDD, 2004)

Recovering latent time-series from their observed sums: network tomography with particle filters. - Edoardo M. Airoldi; Christos Faloutsos (KDD, 2004)

Technologies to Defeat Fraudulent Schemes Related to Email Requests. - Edoardo M. Airoldi; Bradley A. Malin; Latanya Sweeney (AAAI Spring Symposium: AI Technologies for Homeland Security, 2005)

On Learning Parsimonious Models for Extracting Consumer Opinions. - Xue Bai; Rema Padman; Edoardo M. Airoldi (HICSS, 2005)

Configurable Security Protocols for Multi-party Data Analysis with Malicious Participants. - Bradley A. Malin; Edoardo M. Airoldi; Samuel Edoho-Eket; Yiheng Li (ICDE, 2005)

A latent mixed membership model for relational data. - Edoardo M. Airoldi; David M. Blei; Eric P. Xing; Stephen E. Fienberg (LinkKDD, 2005)

Integrating Utility into Face De-identification. - Ralph Gross; Edoardo M. Airoldi; Bradley A. Malin; Latanya Sweeney (Privacy Enhancing Technologies, 2005)

A Network Analysis Model for Disambiguation of Names in Lists. - Bradley A. Malin; Edoardo M. Airoldi; Kathleen M. Carley (Comput. Math. Organ. Theory, 2005)

Sampling algorithms for pure network topologies: a study on the stability and the separability of metric embeddings. - Edoardo M. Airoldi; Kathleen M. Carley (SIGKDD Explor., 2005)

Combining Stochastic Block Models and Mixed Membership for Statistical Network Analysis. - Edoardo M. Airoldi; David M. Blei; Stephen E. Fienberg; Eric P. Xing (SNA@ICML, 2006)

The Effects of Location Access Behavior on Re-identification Risk in a Distributed Environment. - Bradley A. Malin; Edoardo M. Airoldi (Privacy Enhancing Technologies, 2006)

Confidentiality Preserving Audits of Electronic Medical Record Access. - Bradley A. Malin; Edoardo M. Airoldi (MedInfo, 2007)

A New Machine Learning Classifier for High Dimensional Healthcare Data. - Rema Padman; Xue Bai; Edoardo M. Airoldi (MedInfo, 2007)

Getting Started in Probabilistic Graphical Models. - Edoardo M. Airoldi (PLoS Comput. Biol., 2007)

Mixed Membership Stochastic Blockmodels. - Edoardo M. Airoldi; David M. Blei; Stephen E. Fienberg; Eric P. Xing (J. Mach. Learn. Res., 2008)

Aneuploidy prediction and tumor classification with heterogeneous hidden conditional random fields. - Zafer Barutçuoglu; Edoardo M. Airoldi; Vanessa Dumeaux; Robert E. Schapire; Olga G. Troyanskaya (Bioinform., 2009)

Ranking Relations using Analogies in Biological and Information Networks - Ricardo Bezerra de Andrade e Silva; Katherine A. Heller; Zoubin Ghahramani; Edoardo M. Airoldi (CoRR, 2009)

A Survey of Statistical Network Models. - Anna Goldenberg; Alice X. Zheng; Stephen E. Fienberg; Edoardo M. Airoldi (Found. Trends Mach. Learn., 2009)

Predicting Cellular Growth from Gene Expression Signatures. - Edoardo M. Airoldi; Curtis Huttenhower; David Gresham; Charles Lu 004; Amy A. Caudy; Maitreya J. Dunham; James R. Broach; David Botstein; Olga G. Troyanskaya (PLoS Comput. Biol., 2009)

Stochastic blockmodels with growing number of classes - David S. Choi; Patrick J. Wolfe; Edoardo M. Airoldi (CoRR, 2010)

Generalized Species Sampling Priors with Latent Beta reinforcements - Edoardo M. Airoldi; Federico Bassetti; Michele Guindani; Fabrizio Leisen (CoRR, 2010)

Mapping Dynamic Histone Acetylation Patterns to Gene Expression in Nanog-Depleted Murine Embryonic Stem Cells. - Florian Markowetz; Klaas W. Mulder; Edoardo M. Airoldi; Ihor Lemischka; Olga G. Troyanskaya (PLoS Comput. Biol., 2010)

Tree preserving embedding. - Albert Shieh; Tatsunori B. Hashimoto; Edoardo M. Airoldi (ICML, 2011)

Deconvolution of mixing time series on a graph. - Alexander W. Blocker; Edoardo M. Airoldi (UAI, 2011)

Small sets of interacting proteins suggest functional linkage mechanisms via Bayesian analogical reasoning. - Edoardo M. Airoldi; Katherine A. Heller; Ricardo Bezerra de Andrade e Silva (Bioinform., 2011)

Network sampling and classification: An investigation of network model representations. - Edoardo M. Airoldi; Xue Bai; Kathleen M. Carley (Decis. Support Syst., 2011)

An entropy approach to disclosure risk assessment: Lessons from real applications and simulated domains. - Edoardo M. Airoldi; Xue Bai; Bradley A. Malin (Decis. Support Syst., 2011)

Polytope samplers for inference in ill-posed inverse problems. - Edoardo M. Airoldi; Bertrand Haas (AISTATS, 2011)

Confidence sets for network structure. - Edoardo M. Airoldi; David S. Choi; Patrick J. Wolfe (Stat. Anal. Data Min., 2011)

Capturing topical content with frequency and exclusivity. - Jonathan Bischof; Edoardo M. Airoldi (ICML, 2012)

Summarizing topical content with word frequency and exclusivity - Jonathan Bischof; Edoardo M. Airoldi (CoRR, 2012)

Graphlet decomposition of a weighted network. - Hossein Azari Soufiani; Edoardo M. Airoldi (AISTATS, 2012)

Estimation of exchangeable graph models by stochastic blockmodel approximation. - Stanley H. Chan; Thiago B. Costa; Edoardo M. Airoldi (GlobalSIP, 2013)

Stochastic blockmodel approximation of a graphon: Theory and consistent estimation. - Edoardo M. Airoldi; Thiago B. Costa; Stanley H. Chan (NIPS, 2013)

Nonparametric estimation and testing of exchangeable graph models. - Justin Yang; Christina Han; Edoardo M. Airoldi (AISTATS, 2014)

Learning Modular Structures from Network Data and Node Variables. - Elham Azizi; Edoardo M. Airoldi; James E. Galagan (ICML, 2014)

A Consistent Histogram Estimator for Exchangeable Graph Models. - Stanley H. Chan; Edoardo M. Airoldi (ICML, 2014)

Statistical analysis of stochastic gradient methods for generalized linear models. - Panagiotis Toulis; Edoardo M. Airoldi; Jason Rennie (ICML, 2014)

Consistent Estimation of Dynamic and Multi-layer Networks. - Qiuyi Han; Kevin S. Xu 001; Edoardo M. Airoldi (CoRR, 2014)

Implicit Temporal Differences. - Aviv Tamar; Panos Toulis; Shie Mannor; Edoardo M. Airoldi (CoRR, 2014)

Introduction to Mixed Membership Models and Methods. - Edoardo M. Airoldi; David M. Blei; Elena A. Erosheva; Stephen E. Fienberg (Handbook of Mixed Membership Models and Their Applications, 2014)

Robust Estimation of Topic Summaries Leveraging Word Frequency and Exclusivity. - Jonathan M. Bischof; Edoardo M. Airoldi (Handbook of Mixed Membership Models and Their Applications, 2014)

Privacy Controls and Disclosure Behavior. - Edoardo M. Airoldi; Hasan Cavusoglu; Huseyin Cavusoglu; Tuan Quang Phan (AMCIS, 2015)

Analyzing the Co-evolution of Network Structure and Content Generation in Online Social Networks. - Prasanta Bhattacharya; Tuan Quang Phan; Edoardo M. Airoldi (ECIS, 2015)

Investigating the Impact of Network Effects on Content Generation: Evidence from a Large Online Student Network. - Prasanta Bhattacharya; Tuan Phan; Edoardo M. Airoldi (ICIS, 2015)

Consistent estimation of dynamic and multi-layer block models. - Qiuyi Han; Kevin S. Xu 001; Edoardo M. Airoldi (ICML, 2015)

Copula variational inference. - Dustin Tran; David M. Blei; Edoardo M. Airoldi (NIPS, 2015)

Quantitative visualization of alternative exon expression from RNA-seq data. - 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 (Bioinform., 2015)

Optimal design of experiments in the presence of network-correlated outcomes. - Guillaume W. Basse; Edoardo M. Airoldi (CoRR, 2015)

Investigating The Impact Of Network Effects On Content Generation: Evidence From A Large Online Student Network. - Prasanta Bhattacharya; Tuan Quang Phan; Xue Bai; Edoardo M. Airoldi (CoRR, 2015)

Stability and optimality in stochastic gradient descent. - Panos Toulis; Dustin Tran; Edoardo M. Airoldi (CoRR, 2015)

Variational inference with copula augmentation. - Dustin Tran; David M. Blei; Edoardo M. Airoldi (CoRR, 2015)

Scalable estimation strategies based on stochastic approximations: classical results and new insights. - Panos Toulis; Edoardo M. Airoldi (Stat. Comput., 2015)

Stochastic Gradient Methods for Principled Estimation with Large Datasets. - Panos Toulis; Edoardo M. Airoldi (Handbook of Big Data, 2016)

Towards Stability and Optimality in Stochastic Gradient Descent. - Panos Toulis; Dustin Tran; Edoardo M. Airoldi (AISTATS, 2016)

Assessing the Impact of Granular Privacy Controls on Content Sharing and Disclosure on Facebook. - Huseyin Cavusoglu; Tuan Quang Phan; Hasan Cavusoglu; Edoardo M. Airoldi (Inf. Syst. Res., 2016)

Bias reduction of peer influence effects with latent coordinates and community membership. - Daniel Rajchwald; Natasha Markuzon; Edoardo M. Airoldi (IEEE BigData, 2017)

Modeling nonlinearity in multi-dimensional dependent data. - Qiuyi Han; Jie Ding 002; Edoardo M. Airoldi; Vahid Tarokh (GlobalSIP, 2017)

Detecting Network Effects: Randomizing Over Randomized Experiments. - Martin Saveski; Jean Pouget-Abadie; Guillaume Saint-Jacques; Weitao Duan; Souvik Ghosh; Ya Xu; Edoardo M. Airoldi (KDD, 2017)

Post-transcriptional regulation across human tissues. - Alexander Franks; Edoardo M. Airoldi; Nikolai Slavov (PLoS Comput. Biol., 2017)

SLANTS: Sequential Adaptive Nonlinear Modeling of Time Series. - Qiuyi Han; Jie Ding 002; Edoardo M. Airoldi; Vahid Tarokh (IEEE Trans. Signal Process., 2017)

Estimating Causal Effects on Social Networks. - Laura Forastiere; Fabrizia Mealli; Albert Wu; Edoardo M. Airoldi (DSAA, 2018)

Optimizing Cluster-based Randomized Experiments under Monotonicity. - Jean Pouget-Abadie; Vahab S. Mirrokni; David C. Parkes; Edoardo M. Airoldi (KDD, 2018)

A Coevolution Model of Network Structure and User Behavior: The Case of Content Generation in Online Social Networks. - Prasanta Bhattacharya; Tuan Quang Phan; Xue Bai; Edoardo M. Airoldi (Inf. Syst. Res., 2019)

Hybrid Mixed-Membership Blockmodel for Inference on Realistic Network Interactions. - Edward K. Kao; Steven Thomas Smith; Edoardo M. Airoldi (IEEE Trans. Netw. Sci. Eng., 2019)

Stacking models for nearly optimal link prediction in complex networks. - Amir Ghasemian; Homa Hosseinmardi; Aram Galstyan; Edoardo M. Airoldi; Aaron Clauset (Proc. Natl. Acad. Sci. USA, 2020)

Wrapped Distributions on homogeneous Riemannian manifolds. - Fernando Galaz-García; Marios Papamichalis; Kathryn Turnbull; Simon Lunagomez; Edoardo M. Airoldi (CoRR, 2022)

Graph Agnostic Randomized Experimental Design. - Christina Lee Yu; Edoardo M. Airoldi; Christian Borgs; Jennifer T. Chayes (CoRR, 2022)

Estimating Causal Effects under Network Interference with Bayesian Generalized Propensity Scores. - Laura Forastiere; Fabrizia Mealli; Albert Wu; Edoardo M. Airoldi (J. Mach. Learn. Res., 2022)

Independent-Set Design of Experiments for Estimating Treatment and Spillover Effects under Network Interference. - Chencheng Cai; Xu Zhang; Edoardo M. Airoldi (ICLR, 2024)