27 citations · 110 across the 14 of their papers we have counts for
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stat.ML2020
Rejoinder: New Objectives for Policy Learning
Nathan Kallus
I provide a rejoinder for discussion of "More Efficient Policy Learning via Optimal Retargeting" to appear in the Journal of the American Statistical Association with discussion by…
stat.ME2020
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…