Gaussian Process Regression for Maximum Entropy Distribution

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Gaussian Process Regression for Maximum Entropy Distribution

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Regularization for distributionally robust state estimation and prediction

PoGaIN: Poisson-Gaussian Image Noise Modeling From Paired Samples

Improved Inference On Risk Measures For Univariate Extremes

VL4Pose: Active Learning Through Out-Of-Distribution Detection For Pose Estimation

Minimax rate for optimal transport regression between distributions

The Completion Of Covariance Kernels

Dynamical low rank approximation for uncertainty quantification of time-dependent problems

Failure and success of the spectral bias prediction for Laplace Kernel Ridge Regression: the case of low-dimensional data

A Functional Perspective on Information Measures

Optimization methods and objective functions for analysis of metabolic network models

Strong convergence of multivariate maxima