14 citations · 18 across the 6 of their papers we have counts for
5 papers · 1 filter
Matched Machine Learning: A Generalized Framework for Treatment Effect Inference With Learned Metrics
Marco Morucci, Cynthia Rudin, Alexander Volfovsky
We introduce Matched Machine Learning, a framework that combines the flexibility of machine learning black boxes with the interpretability of matching, a longstanding tool in obser…
Density Regression with Bayesian Additive Regression Trees
Vittorio Orlandi, Jared Murray, Antonio Linero +1
Flexibly modeling how an entire density changes with covariates is an important but challenging generalization of mean and quantile regression. While existing methods for density r…
Likelihood-based inference for partially observed stochastic epidemics with individual heterogeneity
Fan Bu, Allison E. Aiello, Alexander Volfovsky +1
We develop a stochastic epidemic model progressing over dynamic networks, where infection rates are heterogeneous and may vary with individual-level covariates. The joint dynamics…
Latent Community Adaptive Network Regression
Heather Mathews, Alexander Volfovsky
The study of network data in the social and health sciences frequently concentrates on two distinct tasks (1) detecting community structures among nodes and (2) associating covaria…
Causal inference for ordinal outcomes
Alexander Volfovsky, Edoardo M. Airoldi, Donald B. Rubin
Many outcomes of interest in the social and health sciences, as well as in modern applications in computational social science and experimentation on social media platforms, are or…