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PyData Berlin 2025: Introduction to Stochastic Variational Inference with NumPyro

juanitorduz.github.io · published 1 September 2025

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https://pyro.ai/numpyro
pyro.ai
https://cfp.pydata.org/berlin2025/talk/BCGJQB/
cfp.pydata.org
https://arxiv.org/abs/1601.00670
arxiv.org
https://pyro.ai/
pyro.ai
https://pyro.ai/examples/intro_long.html
pyro.ai
https://florianwilhelm.info/2020/10/bayesian_hierarchical_modelling_at_scale/
florianwilhelm.info
https://florianwilhelm.info/
florianwilhelm.info
https://www.youtube.com/watch?v=XECLmgnS6Ng
youtube.com
https://github.com/fonnesbeck
github.com
https://num.pyro.ai/en/stable/distributions.html
num.pyro.ai
https://num.pyro.ai/en/latest/autoguide.html
num.pyro.ai
https://num.pyro.ai/en/stable/utilities.html
num.pyro.ai
https://scikit-learn.org/stable/modules/generated/sklearn.datasets.make_moons.html
scikit-learn.org
https://flax.readthedocs.io/en/latest/nnx_basics.html
flax.readthedocs.io
https://docs.kidger.site/equinox/
docs.kidger.site
https://num.pyro.ai/en/stable/autoguide.html
num.pyro.ai
https://pyro.ai/examples/svi_part_iv.html
pyro.ai
https://num.pyro.ai/en/stable/_modules/numpyro/infer/svi.html
num.pyro.ai
https://docs.jax.dev/en/latest/_autosummary/jax.jit.html
docs.jax.dev
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