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Found 5 papers, 3 papers with code
Model-based Causal Bayesian Optimization
We formalize this generalization of CBO as Adversarial Causal Bayesian Optimization (ACBO) and introduce the first algorithm for ACBO with bounded regret: Causal Bayesian Optimization with Multiplicative Weights (CBO-MW).
Model-based Causal Bayesian Optimization
How should we intervene on an unknown structural equation model to maximize a downstream variable of interest?
Amortized Inference for Causal Structure Learning
Rather than searching over structures, we train a variational inference model to directly predict the causal structure from observational or interventional data.
Near-Optimal Multi-Perturbation Experimental Design for Causal Structure Learning
Causal structure learning is a key problem in many domains.
Combining Parametric and Nonparametric Models for Off-Policy Evaluation
We consider a model-based approach to perform batch off-policy evaluation in reinforcement learning.
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