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06/09/2023
Domain-Agnostic Batch Bayesian Optimization with Diverse Constraints via Bayesian Quadrature
Real-world optimisation problems often feature complex combinations of (...
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03/15/2023
Bayesian Quadrature for Neural Ensemble Search
Ensembling can improve the performance of Neural Networks, but existing ...
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01/27/2023
SOBER: Highly Parallel Bayesian Optimization and Bayesian Quadrature over Discrete and Mixed Spaces
Batch Bayesian optimisation and Bayesian quadrature have been shown to b...
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09/01/2022
Bézier Gaussian Processes for Tall and Wide Data
Modern approximations to Gaussian processes are suitable for "tall data"...
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06/09/2022
Fast Bayesian Inference with Batch Bayesian Quadrature via Kernel Recombination
Calculation of Bayesian posteriors and model evidences typically require...
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06/14/2021
Last Layer Marginal Likelihood for Invariance Learning
Data augmentation is often used to incorporate inductive biases into mod...
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11/25/2020
Bayesian Triplet Loss: Uncertainty Quantification in Image Retrieval
Uncertainty quantification in image retrieval is crucial for downstream ...
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08/12/2020
Reparametrization Invariance in non-parametric Causal Discovery
Causal discovery estimates the underlying physical process that generate...
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06/26/2020
Stochastic Differential Equations with Variational Wishart Diffusions
We present a Bayesian non-parametric way of inferring stochastic differe...
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06/21/2020
Isometric Gaussian Process Latent Variable Model for Dissimilarity Data
We propose a fully generative model where the latent variable respects b...
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04/07/2020