Geoff Pleiss

gaussian process (16) variational inference (7) uncertainty quantification (5) kernel matrix (4) conjugate gradient (4) predictive distribution (3) scalable inference (3) hyperparameter optimization (2) neural network (2) deep gaussian process (2) matrix multiplication (2) bayesian optimization (2) posterior covariance (2) maximum likelihood (2) inducing point (2) hyperparameter learning (1) manifold learning (1) gaussian processes (1) density estimation (1) model selection (1)