Search Results for author: Scott Sussex

Found 5 papers, 3 papers with code

Model-based Causal Bayesian Optimization

no code implementations31 Jul 2023 Scott Sussex, Pier Giuseppe Sessa, Anastasiia Makarova, Andreas Krause

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).

Bayesian Optimization

Model-based Causal Bayesian Optimization

1 code implementation18 Nov 2022 Scott Sussex, Anastasiia Makarova, Andreas Krause

How should we intervene on an unknown structural equation model to maximize a downstream variable of interest?

Bayesian Optimization

Amortized Inference for Causal Structure Learning

1 code implementation25 May 2022 Lars Lorch, Scott Sussex, Jonas Rothfuss, Andreas Krause, Bernhard Schölkopf

Rather than searching over structures, we train a variational inference model to directly predict the causal structure from observational or interventional data.

Causal Discovery Inductive Bias +1

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