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README.md 2018-01-22 893 Bytes
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  • Added automatic posterior approximations in variational inference (#775).
  • Added use of tf.GraphKeys.REGULARIZATION_LOSSES to variational inference (#813).
  • Added multinomial classification metrics (#743).
  • Added utility function to assess conditional independence (#791).
  • Added custom metrics in evaluate.py (#809).
  • Minor bug fixes, including automatic transformations (#808); ratio inside ed.MetropolisHastings (#806).

Acknowledgements

  • Thanks go to Baris Kayalibay (@bkayalibay), Christopher Lovell (@christopherlovell), David Moore (@davmre), Kris Sankaran (@krisrs1128), Manuel Haussmann (@manuelhaussmann), Matt Hoffman (@matthewdhoffman), Siddharth Agrawal (@siddharth-agrawal), William Wolf (@cavaunpeu), @gfeldman.

We are also grateful to all who filed issues or helped resolve them, asked and answered questions, and were part of inspiring discussions.

Source: README.md, updated 2018-01-22