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07/13/2022
Volatility Based Kernels and Moving Average Means for Accurate Forecasting with Gaussian Processes
A broad class of stochastic volatility models are defined by systems of ...
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02/23/2022
Bayesian Model Selection, the Marginal Likelihood, and Generalization
How do we compare between hypotheses that are entirely consistent with o...
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12/02/2021
Residual Pathway Priors for Soft Equivariance Constraints
There is often a trade-off between building deep learning systems that a...
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10/22/2020
Learning Invariances in Neural Networks
Invariances to translations have imbued convolutional neural networks wi...
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03/04/2020