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06/19/2023
Practical Equivariances via Relational Conditional Neural Processes
Conditional Neural Processes (CNPs) are a class of metalearning models p...
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06/02/2021
Evidential Turing Processes
A probabilistic classifier with reliable predictive uncertainties i) fit...
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06/17/2020
Learning Partially Known Stochastic Dynamics with Empirical PAC Bayes
We propose a novel scheme for fitting heavily parameterized non-linear s...
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06/27/2019
Deep Active Learning with Adaptive Acquisition
Model selection is treated as a standard performance boosting step in ma...
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06/03/2019
Bayesian Prior Networks with PAC Training
We propose to train Bayesian Neural Networks (BNNs) by empirical Bayes a...
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05/19/2018