Edoardo M. Airoldi

According to our database1, Edoardo M. Airoldi authored at least 66 papers between 2004 and 2020.

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Bibliography

2020
Stacking models for nearly optimal link prediction in complex networks.
Proc. Natl. Acad. Sci. USA, 2020

2019
Hybrid Mixed-Membership Blockmodel for Inference on Realistic Network Interactions.
IEEE Trans. Netw. Sci. Eng., 2019

A Coevolution Model of Network Structure and User Behavior: The Case of Content Generation in Online Social Networks.
Inf. Syst. Res., 2019

2018
Optimizing Cluster-based Randomized Experiments under Monotonicity.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Estimating Causal Effects on Social Networks.
Proceedings of the 5th IEEE International Conference on Data Science and Advanced Analytics, 2018

2017
SLANTS: Sequential Adaptive Nonlinear Modeling of Time Series.
IEEE Trans. Signal Process., 2017

Post-transcriptional regulation across human tissues.
PLoS Comput. Biol., 2017

Detecting Network Effects: Randomizing Over Randomized Experiments.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Modeling nonlinearity in multi-dimensional dependent data.
Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017

Bias reduction of peer influence effects with latent coordinates and community membership.
Proceedings of the 2017 IEEE International Conference on Big Data, 2017

2016
Assessing the Impact of Granular Privacy Controls on Content Sharing and Disclosure on Facebook.
Inf. Syst. Res., 2016

Towards Stability and Optimality in Stochastic Gradient Descent.
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

Stochastic Gradient Methods for Principled Estimation with Large Datasets.
Proceedings of the Handbook of Big Data., 2016

2015
Scalable estimation strategies based on stochastic approximations: classical results and new insights.
Stat. Comput., 2015

Variational inference with copula augmentation.
CoRR, 2015

Stability and optimality in stochastic gradient descent.
CoRR, 2015

Investigating The Impact Of Network Effects On Content Generation: Evidence From A Large Online Student Network.
CoRR, 2015

Optimal design of experiments in the presence of network-correlated outcomes.
CoRR, 2015

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

Copula variational inference.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Consistent estimation of dynamic and multi-layer block models.
Proceedings of the 32nd International Conference on Machine Learning, 2015

Investigating the Impact of Network Effects on Content Generation: Evidence from a Large Online Student Network.
Proceedings of the International Conference on Information Systems, 2015

Analyzing the Co-evolution of Network Structure and Content Generation in Online Social Networks.
Proceedings of the 23rd European Conference on Information Systems, 2015

Privacy Controls and Disclosure Behavior.
Proceedings of the 21st Americas Conference on Information Systems, 2015

2014
Robust Estimation of Topic Summaries Leveraging Word Frequency and Exclusivity.
Proceedings of the Handbook of Mixed Membership Models and Their Applications., 2014

Introduction to Mixed Membership Models and Methods.
Proceedings of the Handbook of Mixed Membership Models and Their Applications., 2014

Implicit Temporal Differences.
CoRR, 2014

Consistent Estimation of Dynamic and Multi-layer Networks.
CoRR, 2014

Statistical analysis of stochastic gradient methods for generalized linear models.
Proceedings of the 31th International Conference on Machine Learning, 2014

A Consistent Histogram Estimator for Exchangeable Graph Models.
Proceedings of the 31th International Conference on Machine Learning, 2014

Learning Modular Structures from Network Data and Node Variables.
Proceedings of the 31th International Conference on Machine Learning, 2014

Nonparametric estimation and testing of exchangeable graph models.
Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

2013
Stochastic blockmodel approximation of a graphon: Theory and consistent estimation.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Estimation of exchangeable graph models by stochastic blockmodel approximation.
Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

2012
Graphlet decomposition of a weighted network.
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Summarizing topical content with word frequency and exclusivity
CoRR, 2012

Capturing topical content with frequency and exclusivity.
Proceedings of the 29th International Conference on Machine Learning, 2012

2011
Confidence sets for network structure.
Stat. Anal. Data Min., 2011

Polytope samplers for inference in ill-posed inverse problems.
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

An entropy approach to disclosure risk assessment: Lessons from real applications and simulated domains.
Decis. Support Syst., 2011

Network sampling and classification: An investigation of network model representations.
Decis. Support Syst., 2011

Small sets of interacting proteins suggest functional linkage mechanisms via Bayesian analogical reasoning.
Bioinform., 2011

Deconvolution of mixing time series on a graph.
Proceedings of the UAI 2011, 2011

Tree preserving embedding.
Proceedings of the 28th International Conference on Machine Learning, 2011

2010
Mapping Dynamic Histone Acetylation Patterns to Gene Expression in Nanog-Depleted Murine Embryonic Stem Cells.
PLoS Comput. Biol., 2010

Generalized Species Sampling Priors with Latent Beta reinforcements
CoRR, 2010

Stochastic blockmodels with growing number of classes
CoRR, 2010

2009
Predicting Cellular Growth from Gene Expression Signatures.
PLoS Comput. Biol., 2009

A Survey of Statistical Network Models.
Found. Trends Mach. Learn., 2009

Ranking Relations using Analogies in Biological and Information Networks
CoRR, 2009

Aneuploidy prediction and tumor classification with heterogeneous hidden conditional random fields.
Bioinform., 2009

2008
Mixed Membership Stochastic Blockmodels.
J. Mach. Learn. Res., 2008

2007
Getting Started in Probabilistic Graphical Models.
PLoS Comput. Biol., 2007

A New Machine Learning Classifier for High Dimensional Healthcare Data.
Proceedings of the MEDINFO 2007 - Proceedings of the 12th World Congress on Health (Medical) Informatics, 2007

Confidentiality Preserving Audits of Electronic Medical Record Access.
Proceedings of the MEDINFO 2007 - Proceedings of the 12th World Congress on Health (Medical) Informatics, 2007

2006
The Effects of Location Access Behavior on Re-identification Risk in a Distributed Environment.
Proceedings of the Privacy Enhancing Technologies, 6th International Workshop, 2006

Combining Stochastic Block Models and Mixed Membership for Statistical Network Analysis.
Proceedings of the Statistical Network Analysis: Models, Issues, and New Directions, 2006

2005
Sampling algorithms for pure network topologies: a study on the stability and the separability of metric embeddings.
SIGKDD Explor., 2005

A Network Analysis Model for Disambiguation of Names in Lists.
Comput. Math. Organ. Theory, 2005

Integrating Utility into Face De-identification.
Proceedings of the Privacy Enhancing Technologies, 5th International Workshop, 2005

A latent mixed membership model for relational data.
Proceedings of the 3rd international workshop on Link discovery, 2005

Configurable Security Protocols for Multi-party Data Analysis with Malicious Participants.
Proceedings of the 21st International Conference on Data Engineering, 2005

On Learning Parsimonious Models for Extracting Consumer Opinions.
Proceedings of the 38th Hawaii International Conference on System Sciences (HICSS-38 2005), 2005

Technologies to Defeat Fraudulent Schemes Related to Email Requests.
Proceedings of the AI Technologies for Homeland Security, 2005

2004
Recovering latent time-series from their observed sums: network tomography with particle filters.
Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004

Markov Blankets and Meta-heuristics Search: Sentiment Extraction from Unstructured Texts.
Proceedings of the Advances in Web Mining and Web Usage Analysis, 2004


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