10 citations · 15 across the 4 of their papers we have counts for
4 papers
Multiply-Robust Causal Change Attribution
Victor Quintas-Martinez, Mohammad Taha Bahadori, Eduardo Santiago +3
Comparing two samples of data, we observe a change in the distribution of an outcome variable. In the presence of multiple explanatory variables, how much of the change can be expl…
Finite-Sample Guarantees for High-Dimensional DML
Victor Quintas-Martinez
Debiased machine learning (DML) offers an attractive way to estimate treatment effects in observational settings, where identification of causal parameters requires a conditional i…
RieszNet and ForestRiesz: Automatic Debiased Machine Learning with Neural Nets and Random Forests
Victor Chernozhukov, Whitney K. Newey, Victor Quintas-Martinez +1
Many causal and policy effects of interest are defined by linear functionals of high-dimensional or non-parametric regression functions. -consistent and asymptotically no…
Automatic Debiased Machine Learning via Riesz Regression
Victor Chernozhukov, Whitney K. Newey, Victor Quintas-Martinez +1
A variety of interesting parameters may depend on high dimensional regressions. Machine learning can be used to estimate such parameters. However estimators based on machine learne…