28 citations · 130 across the 44 of their papers we have counts for
47 papers
The Confounder Trap: Treatment-Encoding Representations in Causal Inference with Text
Marie Neubrander, Graham Tierney, Alexander Volfovsky
Estimating causal effects of linguistic properties from observational text is difficult because the same document can contain both the treatment of interest and the non-treatment t…
Towards Optimal Estimators for Randomized Control Trials
Harsh Parikh, Gabriel Levin-Konigsberg, Nilesh Tripuraneni +5
Randomized controlled trials (RCTs) are fundamental tools for causal inference across technology companies, pharmaceutical research, and federal agencies. While the standard differ…
Mind the Sim-to-Real Gap & Think Like a Scientist
Harsh Parikh, Gabriel Levin-Konigsberg, Dominique Perrault-Joncas +1
Suppose a planner has a pre-trained simulator of a sequential decision problem and the option to run real experiments in the field. The simulator is cheap to query but inherits con…
Adaptive Policy Learning Under Unknown Network Interference
Aidan Gleich, Eric Laber, Alexander Volfovsky
Adaptive experimentation under unknown network interference requires solving two coupled problems: (i) learning the underlying dynamics of interference among units and (ii) using t…
DARTS: Targeting Prognostic Covariates in Budget-Constrained Sequential Experiments
Kateryna Husar, Alexander Volfovsky
Randomized controlled trials typically assume that prognostic covariates are known and available at no cost. In practice, obtaining high-dimensional pretreatment data is costly, fo…
Optimal Data Integration and Adaptive Sampling for Efficient Treatment Effect Estimation
Yen-Chun Liu, Alexander Volfovsky, German Schnaidt +2
This study addresses the challenge of estimating average treatment effects (ATEs) for advertising campaigns in online marketplaces where complete randomized experimentation is infe…