Edoardo Airoldi

Q: What Schools Are Affiliated With Edoardo Airoldi

Edoardo Airoldi is affiliated with the following schools: University of California, Berkeley, University of Milan, Princeton University, Bocconi University, Carnegie Mellon University, Temple University, Harvard University

Edoardo Airoldi's AcademicInfluence.com Rankings

Edoardo Airoldi

Mathematics

#7207

World Rank

#9839

Historical Rank

Statistics

#786

World Rank

#874

Historical Rank

mathematics Degrees

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Mathematics

Edoardo Airoldi's Degrees

PhD Statistics University of California, Berkeley
Masters Statistics University of California, Berkeley
Bachelors Statistics University of Milan

Why Is Edoardo Airoldi Influential?

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According to Wikipedia, Edoardo Maria Airoldi is the Millard E. Gladfelter Professor of Statistics and Data Science in the Fox School of Business at Temple University. Prior to fall 2018 he was an associate professor in the Department of Statistics at Harvard University, where he founded and directed the Harvard Laboratory for Applied Statistics & Data Science, until spring 2017. Additionally, he held visiting positions at MIT and Yale University. His work is primarily in statistics and machine learning.

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Edoardo Airoldi's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

Guidelines for the use and interpretation of assays for monitoring autophagy (3rd edition) (2012) (2913)
Mixed Membership Stochastic Blockmodels (2007) (2014)
Analysis and design of RNA sequencing experiments for identifying isoform regulation (2010) (1262)
A Survey of Statistical Network Models (2009) (936)
Coordination of growth rate, cell cycle, stress response, and metabolic activity in yeast. (2008) (559)
A Model of Text for Experimentation in the Social Sciences (2016) (413)
Reversible, Specific, Active Aggregates of Endogenous Proteins Assemble upon Heat Stress (2015) (343)
Systems-level dynamic analyses of fate change in murine embryonic stem cells (2009) (291)
Stochastic blockmodels with growing number of classes (2010) (248)
The structural topic model and applied social science (2013) (213)
Stochastic blockmodel approximation of a graphon: Theory and consistent estimation (2013) (172)
Accounting for Experimental Noise Reveals That mRNA Levels, Amplified by Post-Transcriptional Processes, Largely Determine Steady-State Protein Levels in Yeast (2014) (164)
Differential Stoichiometry among Core Ribosomal Proteins (2014) (159)
Integrating Utility into Face De-identification (2005) (147)
Mixed Membership Stochastic Block Models for Relational Data with Application to Protein-Protein Interactions (2006) (140)
Summarizing topical content with word frequency and exclusivity (2012) (133)
Post-transcriptional regulation across human tissues (2015) (130)
Defining the Essential Function of Yeast Hsf1 Reveals a Compact Transcriptional Program for Maintaining Eukaryotic Proteostasis. (2016) (127)
Identification and Estimation of Treatment and Interference Effects in Observational Studies on Networks (2016) (113)
A natural experiment of social network formation and dynamics (2015) (110)
Predicting Cellular Growth from Gene Expression Signatures (2009) (110)
Quantitative visualization of alternative exon expression from RNA-seq data (2015) (106)
Asymptotic and finite-sample properties of estimators based on stochastic gradients (2014) (105)
Sashimi plots: Quantitative visualization of RNA sequencing read alignments (2013) (105)
Consistent estimation of dynamic and multi-layer block models (2014) (101)
A Consistent Histogram Estimator for Exchangeable Graph Models (2014) (91)
Constant growth rate can be supported by decreasing energy flux and increasing aerobic glycolysis. (2014) (88)
Predicting traffic volumes and estimating the effects of shocks in massive transportation systems (2015) (87)
Exploiting social influence to magnify population-level behaviour change in maternal and child health: study protocol for a randomised controlled trial of network targeting algorithms in rural Honduras (2017) (85)
Copula variational inference (2015) (80)
Improving and Evaluating Topic Models and Other Models of Text (2016) (80)
Stacking models for nearly optimal link prediction in complex networks (2019) (79)
Musashi proteins are post-transcriptional regulators of the epithelial-luminal cell state (2014) (79)
A Network Analysis Model for Disambiguation of Names in Lists (2005) (69)
Getting Started in Probabilistic Graphical Models (2007) (69)
Statistical Network Analysis: Models, Issues, and New Directions - ICML 2006 Workshop on Statistical Network Analysis, Pittsburgh, PA, USA, June 29, 2006, Revised Selected Papers (2007) (62)
Detecting Network Effects: Randomizing Over Randomized Experiments (2017) (61)
Statistical analysis of stochastic gradient methods for generalized linear models (2014) (60)
Assessing the Impact of Granular Privacy Controls on Content Sharing and Disclosure on Facebook (2016) (59)
A latent mixed membership model for relational data (2005) (58)
Stochastic Block Models of Mixed Membership (2006) (57)
The Structure of Negative Social Ties in Rural Village Networks (2019) (52)
Elements of estimation theory for causal effects in the presence of network interference (2017) (51)
Who Wrote Ronald Reagan's Radio Addresses? (2006) (51)
Model-assisted design of experiments in the presence of network-correlated outcomes (2015) (51)
Towards Stability and Optimality in Stochastic Gradient Descent (2015) (50)
Sampling algorithms for pure network topologies: a study on the stability and the separability of metric embeddings (2005) (50)
Nonparametric estimation and testing of exchangeable graph models (2014) (47)
Handbook of Mixed Membership Models and Their Applications (2014) (46)
Network sampling and classification: An investigation of network model representations (2011) (46)
A conserved cell growth cycle can account for the environmental stress responses of divergent eukaryotes (2012) (45)
Graphlet decomposition of a weighted network (2012) (44)
Estimating selection on synonymous codon usage from noisy experimental data. (2013) (44)
Markov Blankets and Meta-heuristics Search: Sentiment Extraction from Unstructured Texts (2004) (44)
Limitations of Design-based Causal Inference and A/B Testing under Arbitrary and Network Interference (2017) (43)
Scalable estimation strategies based on stochastic approximations: classical results and new insights (2015) (42)
Sentiment Extraction from Unstructured Text using Tabu Search-Enhanced Markov Blanket (2004) (38)
Reconceptualizing the classification of PNAS articles (2010) (35)
On Learning Parsimonious Models for Extracting Consumer Opinions (2005) (34)
Erratum to: Guidelines for the use and interpretation of assays for monitoring autophagy (3rd edition) (Autophagy, 12, 1, 1-222, 10.1080/15548627.2015.1100356 (2016) (33)
Generalized Species Sampling Priors With Latent Beta Reinforcements (2010) (32)
Data Mining Challenges for Electronic Safety: The Case of Fraudulent Intent Detection in E-Mails (2004) (30)
Introduction to Mixed Membership Models and Methods (2014) (30)
Optimal design of experiments in the presence of network-correlated outcomes (2015) (30)
Steady-state and dynamic gene expression programs in Saccharomyces cerevisiae in response to variation in environmental nitrogen (2016) (30)
Tree preserving embedding (2011) (29)
Testing for arbitrary interference on experimentation platforms (2017) (28)
Estimating Latent Processes on a Network From Indirect Measurements (2012) (27)
Confidentiality Preserving Audits of Electronic Medical Record Access (2007) (25)
Combining Stochastic Block Models and Mixed Membership for Statistical Network Analysis (2006) (24)
An entropy approach to disclosure risk assessment: Lessons from real applications and simulated domains (2011) (23)
Mapping Dynamic Histone Acetylation Patterns to Gene Expression in Nanog-Depleted Murine Embryonic Stem Cells (2010) (22)
Intersection of the Web-Based Vaping Narrative With COVID-19: Topic Modeling Study (2020) (21)
Confidence sets for network structure (2011) (20)
Bayesian Models for Frequent Terms in Text (2004) (20)
Whose Ideas? Whose Words? Authorship of Ronald Reagan's Radio Addresses (2007) (19)
A systematic investigation of classical causal inference strategies under mis-specification due to network interference (2018) (19)
Recovering latent time-series from their observed sums: network tomography with particle filters. (2004) (18)
Cyclic motifs in the Sardex monetary network (2018) (18)
Configurable security protocols for multi-party data analysis with malicious participants (2005) (18)
Discovery of Latent Patterns with Hierarchical Bayesian Mixed-Membership Models and the Issue of Model Choice (2008) (17)
The Effects of Location Access Behavior on Re-identification Risk in a Distributed Environment (2006) (16)
MULTI-WAY BLOCKMODELS FOR ANALYZING COORDINATED HIGH-DIMENSIONAL RESPONSES. (2013) (16)
A computational approach to map nucleosome positions and alternative chromatin states with base pair resolution (2016) (16)
Quantifying Homologous Proteins and Proteoforms* (2017) (15)
The proximal Robbins–Monro method (2015) (15)
Causal inference for ordinal outcomes (2015) (15)
Notes on the Negative Binomial distribution for word occurrences (2005) (15)
Causal Inference with Bipartite Designs (2020) (15)
Bayesian mixed-membership models of complex and evolving networks (2006) (15)
Estimating a Structured Covariance Matrix From Multilab Measurements in High-Throughput Biology (2015) (14)
A Coevolution Model of Network Structure and User Behavior: The Case of Content Generation in Online Social Networks (2019) (14)
Inference of Network Summary Statistics Through Network Denoising (2013) (13)
SLANTS: Sequential Adaptive Nonlinear Modeling of Time Series (2016) (13)
Optimizing Cluster-based Randomized Experiments under Monotonicity (2018) (13)
Discovering Latent Patterns with Hierarchical Bayesian Mixed-Membership Models (2006) (13)
A Mixed Membership Approach to the Assessment of Political Ideology from Survey Responses (2014) (13)
Stochastic gradient descent methods for estimation with large data sets (2015) (13)
Geometric Representations of Random Hypergraphs (2009) (12)
Learning Modular Structures from Network Data and Node Variables (2014) (12)
Hybrid Mixed-Membership Blockmodel for Inference on Realistic Network Interactions (2019) (11)
Implicit stochastic gradient descent for principled estimation with large datasets (2014) (11)
Estimating Causal Effects Under Interference Using Bayesian Generalized Propensity Scores (2018) (11)
Stable Robbins-Monro approximations through stochastic proximal updates (2015) (11)
Polytope samplers for inference in ill-posed inverse problems (2011) (10)
Implicit stochastic gradient descent (2014) (10)
Mixed membership analysis of high-throughput interaction studies: Relational data (2007) (10)
Jordan Boyd-Graber, David Mimno, and David Newman. Care and Feeding of Topic Models: Problems, Diagnostics, and Improvements. Handbook of Mixed Membership Models and Their Applications, 2014. (2014) (10)
Geometric Representations of Hypergraphs for Prior Specification and Posterior Sampling (2009) (9)
Sentiment extraction from unstructured texts: Markov blankets and meta-heuristic search (2006) (9)
Mixed membership analysis of genome-wide expression data (2007) (9)
Implicit Temporal Differences (2014) (9)
Implicit stochastic approximation (2015) (9)
Propensity score methodology in the presence of network entanglement between treatments (2018) (9)
A Multivariate Computational Method to Analyze High-Content RNAi Screening Data (2015) (9)
Consistent Estimation of Dynamic and Multi-layer Networks (2014) (8)
Stability and optimality in stochastic gradient descent (2015) (8)
Nonstandard conditionally specified models for nonignorable missing data (2020) (8)
Sashimi plots: Quantitative visualization of alternative isoform expression from RNA-seq data (2014) (8)
Bayesian Inference from Non-Ignorable Network Sampling Designs (2014) (7)
Network Analysis of Wikipedia (2008) (7)
Optimal model-assisted design of experiments for network correlated outcomes suggests new notions of network balance (2015) (7)
Estimating the total treatment effect in randomized experiments with unknown network structure (2022) (7)
A Poisson convolution model for characterizing topical content with word frequency and exclusivity (2012) (7)
Quantifying Condition-Dependent Intracellular Protein Levels Enables High-Precision Fitness Estimates (2013) (7)
Analysis and design of RNA sequencing experiments for identifying mRNA isoform regulation (2010) (6)
Ranking Relations using Analogies in Biological and Information Networks (2009) (6)
Defining the Essential Function of Yeast Hsf1 Reveals a Compact Transcriptional Program for Maintaining Eukaryotic Proteostasis. (2018) (6)
Non-standard conditionally specified models for non-ignorable missing data (2016) (6)
Bayesian Methods for Frequent Terms in Text : Models of Contagion and the ∆ 2 Statistic (2005) (6)
Admixtures of latent blocks with application to protein interaction networks (2007) (6)
ScamSlam: An Architecture for Learning the Criminal Relations Behind Scam Spam (2004) (6)
Latent Space Modelling of Hypergraph Data (2019) (6)
Capturing topical content with frequency and exclusivity (2012) (5)
Quantifying Homologous Proteins and Proteoforms. (2019) (5)
Investigating the Impact of Network Effects on Content Generation: Evidence from a Large Online Student Network (2015) (5)
Defining the essential function of yeast Hsf 1 reveals a compact transcriptional program for maintaining eukaryotic proteostasis AUTHORS (2016) (5)
Acknowledgment of Reviewers, 2016 (2016) (5)
Statistical Models for Frequent Terms in Text (2004) (5)
Hierarchical Bayesian Mixed-Membership Models and Latent Pattern Discovery (2006) (4)
Variational inference with copula augmentation (2015) (4)
Accounting for experimental noise reveals that transcription dominates control of steady-state protein levels in yeast (2014) (4)
Aneuploidy prediction and tumor classification with heterogeneous hidden conditional random fields (2008) (4)
Estimation of exchangeable graph models by stochastic blockmodel approximation (2013) (4)
Latent Space Representations of Hypergraphs (2019) (4)
Evaluating and Optimizing Network Sampling Designs: Decision Theory and Information Theory Perspectives (2018) (3)
Advances in Network Tomography (2003) (3)
Sharp Total Variation Bounds for Finitely Exchangeable Arrays (2014) (3)
A Co-evolution Model of Network Structure and User Behavior in Online Social Networks: The Case of Network-Driven Content Generation (2015) (3)
Technologies to Defeat Fraudulent Schemes Related to Email Requests (2005) (3)
Optimizing cluster-based randomized experiments under a monotonicity assumption (2018) (3)
Analyzing the Co-evolution of Network Structure and Content Generation in Online Social Networks (2015) (3)
Poisson convolution on a tree of categories for modeling topical content with word frequency and exclusivity (2012) (3)
Stochastic Gradient Methods for Principled Estimation with Large Datasets (2016) (3)
An Analysis of Development of Dementia through the Extended Trajectory Grade of Membership Model (2014) (3)
Estimating Peer-Influence Effects Under Homophily: Randomized Treatments and Insights (2018) (3)
Deconvolution of mixing time series on a graph (2011) (3)
Sampling Algorithms of Pure Network Topologies: Stability and Separability of Metric Embeddings (2005) (3)
A New Machine Learning Classifier for High Dimensional Healthcare Data (2007) (2)
Estimating cellular pathways from an ensemble of heterogeneous data sources (2014) (2)
Species Sampling Priors for Modeling Dependence: An Application to the Detection of Chromosomal Aberrations (2015) (2)
Variable stoichiometry among core ribosomal proteins (2014) (2)
Wrapped Distributions on homogeneous Riemannian manifolds (2022) (2)
REFINING CELLULAR PATHWAY MODELS USING AN ENSEMBLE OF HETEROGENEOUS DATA SOURCES. (2018) (2)
Supplemental Information Differential stoichiometry among core ribosomal proteins (2015) (2)
Characterization of Finite Group Invariant Distributions (2014) (1)
Bias reduction of peer influence effects with latent coordinates and community membership (2016) (1)
Gene expression Quantitative visualization of alternative exon expression from RNA-seq data (2015) (1)
Modeling nonlinearity in multi-dimensional dependent data (2017) (1)
Optimizing Randomized and Deterministic Saturation Designs under Interference (2022) (1)
Estimating Causal Effects on Social Networks (2018) (1)
Statistical discovery of signaling pathways from an ensemble of weakly informative data sources (2007) (1)
Latent Space Network Modelling with Continuous and Discrete Geometries (2021) (1)
Template-Based Models for Genome-Wide Analysis of Next-Generation Sequencing Data at Base-Pair Resolution (2016) (1)
Graph Agnostic Randomized Experimental Design under Heterogeneous Linear Network Interference (2021) (1)
Analyzing statistical and computational tradeoffs of estimation procedures (2015) (1)
Correction: Quantifying Condition-Dependent Intracellular Protein Levels Enables High-Precision Fitness Estimates (2013) (1)
Privacy Controls and Disclosure Behavior (2015) (1)
Interpretability Constraints and Trade-offs in Using Mixed Membership Models (2014) (1)
Stochastic gradient methods for principled estimation with massive data sets (2014) (1)
Observational studies with unknown time of treatment (2016) (1)
PLOS Computational Biology 2015 Reviewer Thank You (2016) (1)
A Co-Evolution Model of Network Structure and User Behavior: The Case of Content Generation in Online Social Networks (2016) (1)
Proceedings of the 2006 conference on Statistical network analysis (2006) (0)
Acknowledgment to reviewers—2017 (2017) (0)
Scalable estimation strategies based on stochastic approximations: classical results and new insights (2015) (0)
ISMB 2010 Organization (2010) (0)
Causal Inference for Dyadic Outcomes in Social Network Analysis ∗ (2017) (0)
Challenges to Understanding Covert Groups (2015) (0)
Intersection of the Web-Based Vaping Narrative With COVID-19: Topic Modeling Study (Preprint) (2020) (0)
Interpreting Mixed Membership Models : Implications of Erosheva ’ s Representation Theorem (2018) (0)
Acknowledgment of Reviewers, 2017 (2017) (0)
Small sets of interacting proteins suggest functional linkage mechanisms via Bayesian analogical reasoning (2011) (0)
Probabilistic graphical models in computational biology (2007) (0)
Acknowledgment of Reviewers, 2018 (2018) (0)
Extensive post-transcriptional regulation across human tissues (2015) (0)
Towards an information theoretic framework for location-based data linkage (2005) (0)
Graph Agnostic Randomized Experimental Design (2022) (0)
Sampling on Social Networks from a Decision Theory Perspective (2018) (0)
Testing for network interference on experimentation platforms (2017) (0)
Rejoinder (2016) (0)
Cyclic motifs in the Sardex monetary network (2018) (0)
2 A ug 2 01 4 CHARACTERIZATION OF FINITE GROUP INVARIANT DISTRIBUTIONS (2014) (0)
Ismb/eccb 2019 Proceedings Papers Committee (2019) (0)
Strengthsand Limitations of Machine Learning in Surgical Care. (2021) (0)
S. cerevisiae protein disaggregation and synthesis estimates (2015) (0)
Data and text mining Aneuploidy prediction and tumor classification with heterogeneous hidden conditional random fields (2009) (0)
Latent Space Network Modelling with Hyperbolic and Spherical Geometries (2021) (0)
Latent Aspects Analysis : From Independence to Contagion (2006) (0)
Stephen E. Fienberg's Contributions to Categorical Data Analysis and the Social Sciences (2013) (0)
Privacy Tools project response to Common Rule Notice of Proposed Rule Making (2016) (0)
The Eradication of Surgical Disparities and Societal Welfare: a Simulation Study (2021) (0)
Impact of Academic Interaction Networks on Grades & Jobs: Evidence from Four-year University Trajectories (2021) (0)
Statistical Challenges in Learning Networks (2010) (0)
1 Introduction to Mixed Membership Models and Methods (2014) (0)
A dynamic theory of social failure in isolated communities (2007) (0)
Wallace2015-yeast-heat-agg-dryad-package (2015) (0)
Using Data-Driven Hospital Selection to Accelerate Path to Health Equity (2021) (0)
Robust Estimation of Topic Summaries Leveraging Word Frequency and Exclusivity (2014) (0)

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What Schools Are Affiliated With Edoardo Airoldi?

Edoardo Airoldi is affiliated with the following schools:

Edoardo Airoldi's Academic­Influence.com Rankings