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Daniel Hernández-Lobato

Deep Transformed Gaussian Processes

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Nov 02, 2023
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Variational Linearized Laplace Approximation for Bayesian Deep Learning

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Feb 24, 2023
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Correcting Model Bias with Sparse Implicit Processes

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Aug 08, 2022
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Deep Variational Implicit Processes

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Jun 14, 2022
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Efficient Transformed Gaussian Processes for Non-Stationary Dependent Multi-class Classification

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May 30, 2022
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Gaussian Processes for Missing Value Imputation

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Apr 10, 2022
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Inference over radiative transfer models using variational and expectation maximization methods

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Apr 07, 2022
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Sparse Implicit Processes for Approximate Inference

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Oct 14, 2021
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Input Dependent Sparse Gaussian Processes

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Jul 15, 2021
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Max-value Entropy Search for Multi-objective Bayesian Optimization with Constraints

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Nov 02, 2020
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