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A. Volfovsky · SciRah

Researcher profile · Semantic Scholar

A. Volfovsky

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A. Volfovsky — researcher profile on SciRah

h-index: 16
Works: 94
Citations: 2,596

Most-cited papers

Exposure to opposing views on social media can increase political polarization
C. Bail, Lisa P. Argyle, Taylor W. Brown, John P. Bumpus +6 more
2018Proceedings of the National Academy of Sciences of the United States of America1,663 citations Open access
Semantic Scholar
Assessing the Russian Internet Research Agency’s impact on the political attitudes and behaviors of American Twitter users in late 2017
C. Bail, Brian M. Guay, E. Maloney, A. Combs +4 more
2019Proceedings of the National Academy of Sciences of the United States of America198 citations Open access
Semantic Scholar
Designs for estimating the treatment effect in networks with interference
Ravi Jagadeesan, N. Pillai, A. Volfovsky
2017Annals of Statistics57 citations Open access
Semantic Scholar
FLAME: A Fast Large-scale Almost Matching Exactly Approach to Causal Inference
Tian-Yu Wang, Marco Morucci, M. Awan, Ya-Meng Liu +3 more
2017Journal of machine learning research54 citations
Semantic Scholar
Reducing political polarization in the United States with a mobile chat platform
A. Combs, Graham Tierney, Brian M. Guay, Friedolin Merhout +3 more
2023Nature Human Behaviour51 citations
Semantic Scholar
Likelihoods for fixed rank nomination networks
P. Hoff, B. Fosdick, A. Volfovsky, Katherine W. Stovel
2012Network Science43 citations Open access
Semantic Scholar
Exposure to Opposing Views can Increase Political Polarization: Evidence from a Large-Scale Field Experiment on Social Media
C. Bail, Lisa P. Argyle, Taylor W. Brown, John P. Bumpus +6 more
201839 citations Open access
Semantic Scholar
Likelihood-Based Inference for Partially Observed Epidemics on Dynamic Networks
Fan Bu, A. Aiello, Jason Xu, A. Volfovsky
2019Journal of the American Statistical Association35 citations Open access
Semantic Scholar
Reinforcement Learning Methods in Public Health.
Justin Weltz, A. Volfovsky, Eric B. Laber
2022Clinical Therapeutics32 citations
Semantic Scholar
MALTS: Matching After Learning to Stretch
Harsh Parikh, C. Rudin, A. Volfovsky
2018Journal of machine learning research31 citations Open access
Semantic Scholar
Effects of epileptiform activity on discharge outcome in critically ill patients in the USA: a retrospective cross-sectional study
Harshel G. Parikh, K. Hoffman, Haoqi Sun, S. Zafar +8 more
2022The Lancet Digital Health29 citations Open access
Semantic Scholar
Interpretable Almost-Exact Matching for Causal Inference
Awa Dieng, Ya-Meng Liu, Sudeepa Roy, C. Rudin +1 more
2019International Conference on Artificial Intelligence and Statistics25 citations
Semantic Scholar
Multiple Imputation Using Gaussian Copulas
Florian M. Hollenbach, Iavor Bojinov, Shahryar Minhas, Nils W. Metternich +2 more
2014Sociological Methods & Research24 citations Open access
Semantic Scholar
Causal inference for ordinal outcomes
A. Volfovsky, E. Airoldi, D. Rubin
201520 citations
Semantic Scholar
The Geometry of Community Detection via the MMSE Matrix
G. Reeves, Vaishakhi Mayya, A. Volfovsky
2019International Symposium on Information Theory17 citations Open access
Semantic Scholar
Neighborhood Adaptive Estimators for Causal Inference under Network Interference
A. Belloni, Fei Fang, A. Volfovsky
2022arXiv.org16 citations Open access
Semantic Scholar
Adaptive Hyper-box Matching for Interpretable Individualized Treatment Effect Estimation
Marco Morucci, Vittorio Orlandi, Sudeepa Roy, C. Rudin +1 more
2020Conference on Uncertainty in Artificial Intelligence16 citations
Semantic Scholar
Almost-Matching-Exactly for Treatment Effect Estimation under Network Interference
M. Awan, Marco Morucci, Vittorio Orlandi, Sudeepa Roy +2 more
2020International Conference on Artificial Intelligence and Statistics16 citations
Semantic Scholar
Propensity score methodology in the presence of network entanglement between treatments
Panos Toulis, A. Volfovsky, E. Airoldi
201816 citations
Semantic Scholar
Multiple Imputation Using Gaussian Copulas
Florian M. Hollenbach, Iavor Bojinov, Shahryar Minhas, Nils W. Metternich +2 more
201415 citations
Semantic Scholar
Density Regression with Bayesian Additive Regression Trees
Vittorio Orlandi, Jared S. Murray, A. Linero, A. Volfovsky
202113 citations
Semantic Scholar
Testing for nodal dependence in relational data matrices
A. Volfovsky, P. Hoff
2013Journal of the American Statistical Association12 citations Open access
Semantic Scholar
HIERARCHICAL ARRAY PRIORS FOR ANOVA DECOMPOSITIONS OF CROSS-CLASSIFIED DATA
A. Volfovsky, P. Hoff
2012Annals of Applied Statistics11 citations Open access
Semantic Scholar
A Double Machine Learning Approach to Combining Experimental and Observational Data
Marco Morucci, Vittorio Orlandi, Harsh Parikh, Sudeepa Roy +2 more
2023arXiv.org10 citations Open access
Semantic Scholar
Experimental Designs for Heteroskedastic Variance
Justin Weltz, Tanner Fiez, A. Volfovsky, Eric B. Laber +3 more
2023Neural Information Processing Systems10 citations Open access
Semantic Scholar
The Israeli microsatellite TECHSAT for scientific and technological research: Development and in-orbit testing
M. Guelman, I. Flohr, F. Ortenberg, M. Shachar +3 more
200010 citations
Semantic Scholar
Perceived gender and political persuasion: a social media field experiment during the 2020 US Democratic presidential primary election
A. Combs, Graham Tierney, Fatima Alqabandi, Devin Cornell +5 more
2023Scientific Reports8 citations Open access
Semantic Scholar
Interpretable Causal Inference for Analyzing Wearable, Sensor, and Distributional Data
Srikar Katta, Harsh Parikh, C. Rudin, A. Volfovsky
2023International Conference on Artificial Intelligence and Statistics7 citations
Semantic Scholar
Variable importance matching for causal inference
Quinn Lanners, Harsh Parikh, A. Volfovsky, C. Rudin +1 more
2023Conference on Uncertainty in Artificial Intelligence7 citations
Semantic Scholar
A Double Machine Learning Approach for Combining Experimental and Observational Studies
Harsh Parikh, Marco Morucci, Vittorio Orlandi, Sudeepa Roy +2 more
2023Observational Studies7 citations Open access
Semantic Scholar
An Application of Matching After Learning To Stretch (MALTS) to the ACIC 2018 Causal Inference Challenge Data
Harsh Parikh, C. Rudin, A. Volfovsky
2021Observational Studies7 citations Open access
Semantic Scholar
The association between intersystem prison transfers and COVID-19 incidence in a state prison system
Lauren Brinkley-Rubinstein, K. LeMasters, Phuc Nguyen, Kathryn M. Nowotny +2 more
2021PLoS ONE7 citations Open access
Semantic Scholar
SARS-CoV-2 Infection in Health Care Personnel and Their Household Contacts at a Tertiary Academic Medical Center: Protocol for a Longitudinal Cohort Study
E. Ciccone, P. Zivich, Evans K. Lodge, Deanna R. Zhu +19 more
2021JMIR Research Protocols7 citations Open access
Semantic Scholar
Assortativity can lead to bias in epidemiologic studies of contagious outcomes: a simulated example in the context of vaccination.
P. Zivich, A. Volfovsky, J. Moody, A. Aiello
2021American Journal of Epidemiology7 citations Open access
Semantic Scholar
Data Fusion for Partial Identification of Causal Effects
Quinn Lanners, C. Rudin, A. Volfovsky, Harsh Parikh
2025Neural Information Processing Systems5 citations
Semantic Scholar
How many patients do you need? Investigating trial designs for anti‐seizure treatment in acute brain injury patients
Harsh Parikh, Hao-Qi Sun, Rajesh Amerineni, E. Rosenthal +4 more
2024Annals of Clinical and Translational Neurology5 citations Open access
Semantic Scholar
Post-operative Outcomes in Infants Undergoing ABO Incompatible Heart Transplantation in the US
D. Chauhan, Vittorio Orlandi, T. Rajab, Kareem Bedeir +2 more
2021Annals of Thoracic Surgery5 citations Open access
Semantic Scholar
Sensitivity Analysis for Causal Mediation through Text: an Application to Political Polarization
Graham Tierney, A. Volfovsky
2021CINLP5 citations Open access
Semantic Scholar
Interpretable Almost Matching Exactly With Instrumental Variables
M. Awan, Ya-Meng Liu, Marco Morucci, Sudeepa Roy +2 more
2019Conference on Uncertainty in Artificial Intelligence5 citations
Semantic Scholar
Gaussian Mixture Models for Stochastic Block Models with Non-Vanishing Noise
Heather Mathews, Vaishakhi Mayya, A. Volfovsky, G. Reeves
2019IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing5 citations Open access
Semantic Scholar
Scalable Policy Maximization Under Network Interference
Aidan Gleich, Eric B. Laber, A. Volfovsky
2025arXiv.org4 citations
Semantic Scholar
Stochastic EM algorithm for partially observed stochastic epidemics with individual heterogeneity.
Fan Bu, A. Aiello, A. Volfovsky, Jason Xu
2024Biostatistics4 citations
Semantic Scholar
dame-flame: A Python Library Providing Fast Interpretable Matching for Causal Inference
Neha R. Gupta, Vittorio Orlandi, Chia-Rui Chang, Tian-Yu Wang +8 more
2021arXiv.org4 citations
Semantic Scholar
Interpretable Almost Matching Exactly for Causal Inference
Ya-Meng Liu, Awa Dieng, Sudeepa Roy, C. Rudin +1 more
20184 citations
Semantic Scholar
Markov Chains and Applications
A. Volfovsky
20074 citations
Semantic Scholar
Safe and Interpretable Estimation of Optimal Treatment Regimes
Harsh Parikh, Quinn Lanners, Zade Akras, Sahar F. Zafar +3 more
2023International Conference on Artificial Intelligence and Statistics3 citations
Semantic Scholar
Latent Community Adaptive Network Regression
Heather Mathews, A. Volfovsky
20213 citations
Semantic Scholar
Sharp Total Variation Bounds for Finitely Exchangeable Arrays
A. Volfovsky, E. Airoldi
20143 citations Open access
Semantic Scholar
Principled Imputation Made Simple: Multiple Imputation Using Gaussian Copulas
Florian M. Hollenbach, Iavor Bojinov, Shahryar Minhas, Nils W. Metternich +2 more
20143 citations
Semantic Scholar
Can Platform Design Encourage Curiosity? Evidence from an Independent Social Media Experiment
Marie Neubrander, Markus Reiter-Haas, Ben Rochford, Max Allamong +3 more
2026arXiv.org2 citations
Semantic Scholar

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