|---| | [ View source on GitHub](https://github.com/tensorflow/probability/blob/v0.25.0/tensorflow_probability/python/experimental/vi/__init__.py) | Experimental methods and objectives for variational inference. ## Modules [`util`](https://www.tensorflow.org/probability/api_docs/python/tfp/experimental/vi/util) module: Experimental methods and objectives for variational inference. ## Functions [`build_affine_surrogate_posterior(...)`](https://www.tensorflow.org/probability/api_docs/python/tfp/experimental/vi/build_affine_surrogate_posterior): Builds a joint variational posterior with a given `event_shape`. [`build_affine_surrogate_posterior_from_base_distribution(...)`](https://www.tensorflow.org/probability/api_docs/python/tfp/experimental/vi/build_affine_surrogate_posterior_from_base_distribution): Builds a variational posterior by linearly transforming base distributions. [`build_affine_surrogate_posterior_from_base_distribution_stateless(...)`](https://www.tensorflow.org/probability/api_docs/python/tfp/experimental/vi/build_affine_surrogate_posterior_from_base_distribution_stateless): Builds a variational posterior by linearly transforming base distributions. [`build_affine_surrogate_posterior_stateless(...)`](https://www.tensorflow.org/probability/api_docs/python/tfp/experimental/vi/build_affine_surrogate_posterior_stateless): Builds a joint variational posterior with a given `event_shape`. [`build_asvi_surrogate_posterior(...)`](https://www.tensorflow.org/probability/api_docs/python/tfp/experimental/vi/build_asvi_surrogate_posterior): Builds a structured surrogate posterior inspired by conjugate updating. [`build_asvi_surrogate_posterior_stateless(...)`](https://www.tensorflow.org/probability/api_docs/python/tfp/experimental/vi/build_asvi_surrogate_posterior_stateless): Builds a structured surrogate posterior inspired by conjugate updating. [`build_factored_surrogate_posterior(...)`](https://www.tensorflow.org/probability/api_docs/python/tfp/experimental/vi/build_factored_surrogate_posterior): Builds a joint variational posterior that factors over model variables. [`build_factored_surrogate_posterior_stateless(...)`](https://www.tensorflow.org/probability/api_docs/python/tfp/experimental/vi/build_factored_surrogate_posterior_stateless): Builds a joint variational posterior that factors over model variables. [`build_split_flow_surrogate_posterior(...)`](https://www.tensorflow.org/probability/api_docs/python/tfp/experimental/vi/build_split_flow_surrogate_posterior): Builds a joint variational posterior by splitting a normalizing flow.


| ## Other Members || |---|---| | ASVI_DEFAULT_PRIOR_SUBSTITUTION_RULES | `((, >), (, >), (, >), (, >))` | | ASVI_DEFAULT_SURROGATE_RULES | `((>, .wrap..>), (, ), (, .wrap..>), (>, .wrap..>), (, .wrap..>))` |