Mert Demirer

Selected Publications

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 […]

Mert Demirer, Vasilis Syrgkanis, Greg Lewis, Victor Chernozhukov
12 June 2019 | CWP34/19
Generic machine learning inference on heterogenous treatment effects in randomized experiments

We propose strategies to estimate and make inference on key features of heterogeneous effects in randomized […]

Victor Chernozhukov, Mert Demirer, Esther Duflo, Ivan Fernandez-Val
30 December 2017 | CWP61/17
Double/debiased machine learning for treatment and structural parameters

We revisit the classic semiparametric problem of inference on a low dimensional parameter θ0 in the […]

Victor Chernozhukov, Denis Chetverikov, Mert Demirer, Esther Duflo, Christian Hansen, Whitney K. Newey, James Robins
2 June 2017 | CWP28/17
Double machine learning for treatment and causal parameters

Most modern supervised statistical/machine learning (ML) methods are explicitly designed to solve prediction problems very well. […]

Victor Chernozhukov, Denis Chetverikov, Mert Demirer, Esther Duflo, Christian Hansen, Whitney K. Newey
27 September 2016 | CWP49/16