Statistical Learning
Efficient Robust Bayesian Optimization for Arbitrary Uncertain inputs
In some challenging BO tasks, input uncertainty arises due to the inevitable randomness in the optimization process, such as machining errors, execution noise, or contextual variability.
Differentiable and Stable Long-Range Tracking of Multiple Posterior Modes
But, they are limited to unimodal, Gaussian approximations of state uncertainty.
Directed Cyclic Graph for Causal Discovery from Multivariate Functional Data
Discovering causal relationship using multivariate functional data has received a significant amount of attention very recently. In this article, we introduce a functional linear structural equation model for causal structure learning when the underlying graph involving the multivariate functions may have cycles.
