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Found 4 papers, 1 papers with code
FunBO: Discovering Acquisition Functions for Bayesian Optimization with FunSearch
The sample efficiency of Bayesian optimization algorithms depends on carefully crafted acquisition functions (AFs) guiding the sequential collection of function evaluations.
Consistency of Causal Inference under the Additive Noise Model
We analyze a family of methods for statistical causal inference from sample under the so-called Additive Noise Model.
Identifying Finite Mixtures of Nonparametric Product Distributions and Causal Inference of Confounders
We propose a kernel method to identify finite mixtures of nonparametric product distributions.
On Causal and Anticausal Learning
We consider the problem of function estimation in the case where an underlying causal model can be inferred.
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