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04/17/2023
On Uncertainty Calibration and Selective Generation in Probabilistic Neural Summarization: A Benchmark Study
Modern deep models for summarization attains impressive benchmark perfor...
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12/22/2021
Surrogate Likelihoods for Variational Annealed Importance Sampling
Variational inference is a powerful paradigm for approximate Bayesian in...
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12/24/2019
Composable Effects for Flexible and Accelerated Probabilistic Programming in NumPyro
NumPyro is a lightweight library that provides an alternate NumPy backen...
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10/23/2019