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Showing 1 to 4 of 4 for “"Sparse Gaussian Processes"”.

  1. 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 …

    cambridge Repository record for Advances in Probabilistic Modelling: Sparse Gaussian Processes, Autoencoders, and Few-shot Learning (opens in a new tab)

  2. 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 …

    nus Repository record for INFORMATION BASED ADAPTIVE PATH PLANNING AND SAMPLING FOR ENVIRONMENT MONITORING (opens in a new tab)

  3. 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 …

    toronto-retro Repository record for Function-Space Bayesian Learning: from Gaussian Processes to Bayesian Deep Learning (opens in a new tab)

  4. 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 …

    cambridge Repository record for Variational Inference in Dynamical Systems (opens in a new tab)