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Anna Vaughan

2 accepted papers

2023

Autoregressive Conditional Neural Processes

ICLR 2023poster

Conditional neural processes (CNPs; Garnelo et al., 2018a) are attractive meta-learning models which produce well-calibrated predictions and are trainable via a simple maximum likelihood procedure. Although CNPs have many advantages, they are unable to model dependencies in their predictions. Variou…

2022

Practical Conditional Neural Process Via Tractable Dependent Predictions

ICLR 2022poster

Conditional Neural Processes (CNPs; Garnelo et al., 2018a) are meta-learning models which leverage the flexibility of deep learning to produce well-calibrated predictions and naturally handle off-the-grid and missing data. CNPs scale to large datasets and train with ease. Due to these features, CNPs…

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