Search Results for author: Neal Lawton

Found 2 papers, 0 papers with code

A Forest Mixture Bound for Block-Free Parallel Inference

no code implementations17 May 2018 Neal Lawton, Aram Galstyan, Greg Ver Steeg

Coordinate ascent variational inference is an important algorithm for inference in probabilistic models, but it is slow because it updates only a single variable at a time.

Variational Inference

Neural Architecture Search for Parameter-Efficient Fine-tuning of Large Pre-trained Language Models

no code implementations26 May 2023 Neal Lawton, Anoop Kumar, Govind Thattai, Aram Galstyan, Greg Ver Steeg

Parameter-efficient tuning (PET) methods fit pre-trained language models (PLMs) to downstream tasks by either computing a small compressed update for a subset of model parameters, or appending and fine-tuning a small number of new model parameters to the pre-trained network.

Neural Architecture Search

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