26 citations · 76 across the 14 of their papers we have counts for
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stat.ML2023★ 1 cited
Towards Bounding Causal Effects under Markov Equivalence
Alexis Bellot
Predicting the effect of unseen interventions is a fundamental research question across the data sciences. It is well established that in general such questions cannot be answered…
stat.ML2023★ 1 cited
Functional Causal Bayesian Optimization
Limor Gultchin, Virginia Aglietti, Alexis Bellot +1
We propose functional causal Bayesian optimization (fCBO), a method for finding interventions that optimize a target variable in a known causal graph. fCBO extends the CBO family o…