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Vasilis Syrgkanis: Automatic Debiased Machine Learning for General Nested Functionals
Vasilis Syrgkanis, Statistical Learning with a Nuisance Component
Kimia Kamal@Debiased machine learning for estimating the causal effect of urban traffic on pedestri
Vasilis Syrgkanis (Microsoft Research) -- Statistical learning for causal inference
Adversarial Machine Learning and Instrumental Variables for Flexible Causal Modeling
Selective Machine Learning of Doubly Robust Functionals, Eric J. Tchetgen Tchetgen, Wharton UPenn
Vasilis Syrgkanis - Incentivizing Compliance with Algorithmic Instruments
Nathan Kallus and Xiaojie Mao: Localized Debiased Machine Learning
Professor Stijn Vansteelandt | Machine learning for the evaluation of treatment effects
Estimation and Inference with Trees and Forests in High Dimensions
Econometrics in Games and Auctions (Part II)
Rahul Singh: Causal Inference with Corrupted Data
