Vira Semenova

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Machine Learning for Dynamic Discrete Choice

Vira Semenova, V. Semenova, 2018, 1808.02569.

Machine Learning for Partial Identification: Example of Bracketed Data pdf

Vira Semenova, 2017, ArXiv.

Machine Learning for Dynamic Models of Imperfect Information and Semiparametric Moment Inequalities

Vira Semenova, 2018 .

Regularized Orthogonal Machine Learning for Nonlinear Semiparametric Models

Vasilis Syrgkanis, Vira Semenova, Denis Nekipelov, 2018 .

Plug-in Regularized Estimation of High-Dimensional Parameters in Nonlinear Semiparametric Models pdf

Vasilis Syrgkanis, Victor Chernozhukov, Vira Semenova, 2018, ArXiv.

Inference on weighted average value function in high-dimensional state space pdf

Whitney Newey, Victor Chernozhukov, Vira Semenova, 2019, ArXiv.

Machine Learning for Set-Identified Linear Models

Vira Semenova, Vira Semenova, V. Semenova, 2017 .

Estimation and Inference about Conditional Average Treatment Effect and Other Structural Functions.

Victor Chernozhukov, Vira Semenova, V. Chernozhukov, 2020 .

Orthogonal Machine Learning for Demand Estimation: High Dimensional Causal Inference in Dynamic Panels

Matt Goldman, Matt Taddy, Victor Chernozhukov, 2017 .

Orthogonal ML for Demand Estimation: High Dimensional Causal Inference in Dynamic Panels∗

Vira Semenova, Vira Semenova, 2018 .

Debiased machine learning of conditional average treatment effects and other causal functions

Victor Chernozhukov, Vira Semenova, 2017 .