Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 4 of 4 for “"Sparse Gaussian Processes"”.
-
Advances in Probabilistic Modelling: Sparse Gaussian Processes, Autoencoders, and Few-shot Learning
… three areas of probabilistic machine learning: sparse Gaussian process approximations and invariant covariance functions, learning flexible priors for variational autoencoders, and probabilistic approaches for few-shot learning. As inference is rarely tractable, we discuss variational inference …
-
INFORMATION BASED ADAPTIVE PATH PLANNING AND SAMPLING FOR ENVIRONMENT MONITORING
… collection for understanding the environmental processes. We first explain the two adaptive planning algorithms for estimating scalar environmental fields with bounds on the mission time. These algorithms adapt the path during the mission based on the recently collected information. We use …
-
Function-Space Bayesian Learning: from Gaussian Processes to Bayesian Deep Learning
… the function-space. This thesis first focuses on Gaussian processes (GPs), a family of traditional function-space Bayesian models. To learn a suitable kernel for the GP prior, I propose a neural network structure that computes expressive kernel compositions. Because this structure is fully …
-
Variational Inference in Dynamical Systems
… models whose transition function is drawn from a Gaussian process (GPSSM) in particular. We show bias can derive from assuming posteriors in non-linear systems to be jointly Gaussian, and from assuming that we can sever the dependence between latent states and transition function in state space …