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09/02/2023
A Unifying Variational Framework for Gaussian Process Motion Planning
To control how a robot moves, motion planning algorithms must compute pa...
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11/08/2020
Pathwise Conditioning of Gaussian Processes
As Gaussian processes are integrated into increasingly complex problem s...
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02/21/2020
Efficiently sampling functions from Gaussian process posteriors
Gaussian processes are the gold standard for many real-world modeling pr...
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05/25/2018
Maximizing acquisition functions for Bayesian optimization
Bayesian optimization is a sample-efficient approach to global optimizat...
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12/01/2017
The reparameterization trick for acquisition functions
Bayesian optimization is a sample-efficient approach to solving global o...
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06/14/2015
Compressing Convolutional Neural Networks
Convolutional neural networks (CNN) are increasingly used in many areas ...
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04/19/2015