4 papers · 1 filter
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…
Scalable Policy Maximization Under Network Interference
Aidan Gleich, Eric Laber, Alexander Volfovsky
Many interventions, such as vaccines in clinical trials or coupons in online marketplaces, must be assigned sequentially without full knowledge of their effects. Multi-armed bandit…
Neighborhood Adaptive Estimators for Causal Inference under Network Interference
Alexandre Belloni, Fei Fang, Alexander Volfovsky
Estimating causal effects has become an integral part of most applied fields. In this work we consider the violation of the classical no-interference assumption with units connecte…