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Vasilis Syrgkanis

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titleconferencedate
Orthogonal Statistical LearningAlgorithmic Aspects of Causal Inference 20222022-03-18
Provides finite-sample guarantees that make nuisance estimation a second-order error source by using a two-stage sample-splitting meta-algorithm plus Neyman…
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Adversarial Machine Learning and Instrumental Variables for Flexible Causal ModelingAdversarial Approaches in Machine Learning 20222022-02-17
Proposes an adversarial minimax objective that converts nonparametric instrumental-variable conditions into a loss minimization problem, proves fast, adaptive…
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Econometrics for Learning AgentsComplexity and Simplicity in Economics (Simons Institute workshop, 2015)2015-10-12
Claim: bidders are best-modeled as vanishing-regret learning agents, not Nash equilibria, so values can be inferred from bid histories. Method: convert regret…
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