Pathfinder.jl

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Preheat your MCMC

Pathfinder.jl 최신버젼 다운로드

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# Pathfinder.jl: Parallel quasi-Newton variational inference

[![Stable](https://img.shields.io/badge/docs-stable-blue.svg)](https://mlcolab.github.io/Pathfinder.jl/stable)
[![Dev](https://img.shields.io/badge/docs-dev-blue.svg)](https://mlcolab.github.io/Pathfinder.jl/dev)
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[![Coverage](https://codecov.io/gh/mlcolab/Pathfinder.jl/branch/main/graph/badge.svg)](https://codecov.io/gh/mlcolab/Pathfinder.jl)
[![Code Style: Blue](https://img.shields.io/badge/code%20style-blue-4495d1.svg)](https://github.com/invenia/BlueStyle)
[![ColPrac: Contributor's Guide on Collaborative Practices for Community Packages](https://img.shields.io/badge/ColPrac-Contributor's%20Guide-blueviolet)](https://github.com/SciML/ColPrac)
[![DOI](https://zenodo.org/badge/417810442.svg)](https://doi.org/10.5281/zenodo.5914975)

An implementation of Pathfinder, [^Zhang2021] a variational method for initializing Markov chain Monte Carlo (MCMC) methods.

[^Zhang2021]: Lu Zhang, Bob Carpenter, Andrew Gelman, Aki Vehtari (2021).
              Pathfinder: Parallel quasi-Newton variational inference.
              arXiv: [2108.03782](https://arxiv.org/abs/2108.03782) [stat.ML].
              [Code](https://github.com/LuZhangstat/Pathfinder)

Pathfinder.jl

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