Showing stat.MLShow all
2 papers · 1 filter
stat.ML2025
Causal Bayesian Optimization with Unknown Graphs
Jean Durand, Yashas Annadani, Stefan Bauer +1
Causal Bayesian Optimization (CBO) is a methodology designed to optimize an outcome variable by leveraging known causal relationships through targeted interventions. Traditional CB…
stat.ML2024
Concept-driven Off Policy Evaluation
Ritam Majumdar, Jack Teversham, Sonali Parbhoo
Evaluating off-policy decisions using batch data poses significant challenges due to limited sample sizes leading to high variance. To improve Off-Policy Evaluation (OPE), we must…