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07/08/2023
On Regularization and Inference with Label Constraints
Prior knowledge and symbolic rules in machine learning are often express...
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12/01/2022
Are you using test log-likelihood correctly?
Test log-likelihood is commonly used to compare different models of the ...
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02/23/2022
Many processors, little time: MCMC for partitions via optimal transport couplings
Markov chain Monte Carlo (MCMC) methods are often used in clustering sin...
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06/11/2021
Measuring the sensitivity of Gaussian processes to kernel choice
Gaussian processes (GPs) are used to make medical and scientific decisio...
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04/09/2021
Optimal transport couplings of Gibbs samplers on partitions for unbiased estimation
Computational couplings of Markov chains provide a practical route to un...
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09/22/2020
Independent finite approximations for Bayesian nonparametric inference: construction, error bounds, and practical implications
Bayesian nonparametrics based on completely random measures (CRMs) offer...
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06/23/2020