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1
Bayesian neural network language modeling for speech recognition
Published 2023“…Efficient inference approaches were used to automatically select the optimal network internal components to be Bayesian learned using neural architecture search. A minimal number of Monte Carlo parameter samples as low as one was also used. …”
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Journal Article -
2
Probabilistic Programming with Programmable Variational Inference
Published 2024“…Compared to the wide array of advanced Monte Carlo methods supported by modern probabilistic programming languages (PPLs), PPL support for variational inference (VI) is underdeveloped: users are typically limited to a small selection of predefined variational objectives and gradient estimators, which are implemented monolithically (and without explicit correctness arguments) in PPL backends. …”
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Article