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Bayesian Optimization with Noise-Free Observations: Improved Regret Bounds via Random Exploration
This paper studies Bayesian optimization with noise-free observations.
ReTaSA: A Nonparametric Functional Estimation Approach for Addressing Continuous Target Shift
This work focuses on the target shift problem in a regression setting (Zhang et al., 2013; Nguyen et al., 2016).
Optimization on Manifolds via Graph Gaussian Processes
We rely on a point cloud of manifold samples to define a graph Gaussian process surrogate model for the objective.
A Variational Inference Approach to Inverse Problems with Gamma Hyperpriors
Hierarchical models with gamma hyperpriors provide a flexible, sparse-promoting framework to bridge $L^1$ and $L^2$ regularizations in Bayesian formulations to inverse problems.
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