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07/07/2022
Challenges and Pitfalls of Bayesian Unlearning
Machine unlearning refers to the task of removing a subset of training d...
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08/22/2021
Efficient Gaussian Neural Processes for Regression
Conditional Neural Processes (CNP; Garnelo et al., 2018) are an attracti...
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11/05/2019
GP-ALPS: Automatic Latent Process Selection for Multi-Output Gaussian Process Models
A simple and widely adopted approach to extend Gaussian processes (GPs) ...
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02/22/2018
Learning Causally-Generated Stationary Time Series
We present the Causal Gaussian Process Convolution Model (CGPCM), a doub...
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02/20/2018
