27 citations · 110 across the 14 of their papers we have counts for
4 papers · 1 filter
Kernel Optimal Orthogonality Weighting: A Balancing Approach to Estimating Effects of Continuous Treatments
Nathan Kallus, Michele Santacatterina
Many scientific questions require estimating the effects of continuous treatments. Outcome modeling and weighted regression based on the generalized propensity score are the most c…
Optimal Estimation of Generalized Average Treatment Effects using Kernel Optimal Matching
Nathan Kallus, Michele Santacatterina
In causal inference, a variety of causal effect estimands have been studied, including the sample, uncensored, target, conditional, optimal subpopulation, and optimal weighted aver…
More Efficient Policy Learning via Optimal Retargeting
Nathan Kallus
Policy learning can be used to extract individualized treatment regimes from observational data in healthcare, civics, e-commerce, and beyond. One big hurdle to policy learning is…
Classifying Treatment Responders Under Causal Effect Monotonicity
Nathan Kallus
In the context of individual-level causal inference, we study the problem of predicting whether someone will respond or not to a treatment based on their features and past examples…