Search Results for author: Michael Tingley

Found 5 papers, 3 papers with code

Accelerating Metropolis-Hastings with Lightweight Inference Compilation

1 code implementation23 Oct 2020 Feynman Liang, Nimar Arora, Nazanin Tehrani, Yucen Li, Michael Tingley, Erik Meijer

In order to construct accurate proposers for Metropolis-Hastings Markov Chain Monte Carlo, we integrate ideas from probabilistic graphical models and neural networks in an open-source framework we call Lightweight Inference Compilation (LIC).

Probabilistic Programming

Uncertainty Estimation For Community Standards Violation In Online Social Networks

no code implementations30 Sep 2020 Narjes Torabi, Nimar S. Arora, Emma Yu, Kinjal Shah, Wenshun Liu, Michael Tingley

This task is exceedingly hard because even though we can easily get the ML scores or features for all of the billions of items we can only get ground truth labels on a few thousands of these items due to practical considerations.

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