DARTS adaptively selects prognostic covariates via budgeted Thompson sampling in sequential experiments, preserving randomization validity and achieving asymptotic coverage for the inverse-variance weighted estimator.
Deep bayesian bandits showdown: An empirical comparison of bayesian deep networks for thompson sampling
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
stat.ML 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
DARTS: Targeting Prognostic Covariates in Budget-Constrained Sequential Experiments
DARTS adaptively selects prognostic covariates via budgeted Thompson sampling in sequential experiments, preserving randomization validity and achieving asymptotic coverage for the inverse-variance weighted estimator.