Vasilis Syrgkanis
Selected Publications
Omitted variable bias in machine learned causal models
We derive general, yet simple, sharp bounds on the size of the omitted variable bias for […]
Adversarial estimation of Riesz representers
We provide an adversarial approach to estimating Riesz representers of linear functionals within arbitrary function spaces. […]
Semi-Parametric Efficient Policy Learning with Continuous Actions
We consider off-policy evaluation and optimization with continuous action spaces. We focus on observational data where […]
Plug-in regularized estimation of high dimensional parameters in nonlinear semiparametric models
We develop a theory for estimation of a high-dimensional sparse parameter defined as a minimizer of […]