Austin Rochford | Variational Inference in Python
10.4 هزار بار بازدید -
8 سال پیش
-
PyData DC 2016Jupyter notebook:
PyData DC 2016
Jupyter notebook: https://nbviewer.jupyter.org/gist/Aus...
Inference in Bayesian models often requires simulation to approximate posterior distributions. Variational inference (VI) instead approximates posteriors through optimization. Recent theoretical and computational advances in automatic variational inference have made VI more accessible. This talk will give an introduction to VI and show software packages for performing VI in Python. 00:00 Welcome!
00:10 Help us add time stamps or captions to this video! See the description for details.
Want to help add timestamps to our YouTube videos to help with discoverability? Find out more here: https://github.com/numfocus/YouTubeVi...
Jupyter notebook: https://nbviewer.jupyter.org/gist/Aus...
Inference in Bayesian models often requires simulation to approximate posterior distributions. Variational inference (VI) instead approximates posteriors through optimization. Recent theoretical and computational advances in automatic variational inference have made VI more accessible. This talk will give an introduction to VI and show software packages for performing VI in Python. 00:00 Welcome!
00:10 Help us add time stamps or captions to this video! See the description for details.
Want to help add timestamps to our YouTube videos to help with discoverability? Find out more here: https://github.com/numfocus/YouTubeVi...
8 سال پیش
در تاریخ 1395/08/03 منتشر شده
است.
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