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03/25/2023
Autoregressive Conditional Neural Processes
Conditional neural processes (CNPs; Garnelo et al., 2018a) are attractiv...
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02/16/2023
Trieste: Efficiently Exploring The Depths of Black-box Functions with TensorFlow
We present Trieste, an open-source Python package for Bayesian optimizat...
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11/18/2022
Active Learning with Convolutional Gaussian Neural Processes for Environmental Sensor Placement
Deploying environmental measurement stations can be a costly and time-co...
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05/30/2022
Notes on the runtime of A* sampling
The challenge of simulating random variables is a central problem in Sta...
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03/16/2022
Practical Conditional Neural Processes Via Tractable Dependent Predictions
Conditional Neural Processes (CNPs; Garnelo et al., 2018a) are meta-lear...
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02/24/2022
Partitioned Variational Inference: A Framework for Probabilistic Federated Learning
The proliferation of computing devices has brought about an opportunity ...
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01/30/2022
Fast Relative Entropy Coding with A* coding
Relative entropy coding (REC) algorithms encode a sample from a target d...
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08/22/2021
