11 citations · 13 across the 3 of their papers we have counts for
4 papers
On the Optimality of Randomization in Experimental Design: How to Randomize for Minimax Variance and Design-Based Inference
Nathan Kallus
I study the minimax-optimal design for a two-arm controlled experiment where conditional mean outcomes may vary in a given set. When this set is permutation symmetric, the optimal…
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…
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…