1.1k citations · 1.5k across the 20 of their papers we have counts for
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Causaltoolbox---Estimator Stability for Heterogeneous Treatment Effects
Sören R. Künzel, Simon J. S. Walter, Jasjeet S. Sekhon
Estimating heterogeneous treatment effects has become increasingly important in many fields and life and death decisions are now based on these estimates: for example, selecting a…
Time-uniform, nonparametric, nonasymptotic confidence sequences
Steven R. Howard, Aaditya Ramdas, Jon McAuliffe +1
A confidence sequence is a sequence of confidence intervals that is uniformly valid over an unbounded time horizon. Our work develops confidence sequences whose widths go to zero,…
Transfer Learning for Estimating Causal Effects using Neural Networks
Sören R. Künzel, Bradly C. Stadie, Nikita Vemuri +3
We develop new algorithms for estimating heterogeneous treatment effects, combining recent developments in transfer learning for neural networks with insights from the causal infer…
Time-uniform Chernoff bounds via nonnegative supermartingales
Steven R. Howard, Aaditya Ramdas, Jon McAuliffe +1
We develop a class of exponential bounds for the probability that a martingale sequence crosses a time-dependent linear threshold. Our key insight is that it is both natural and fr…