Comments (3)
Hi! Thanks for reaching out. You are right. We expect to have a fix done in O(days).
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Hope it is still relevant, SGLD is now fixed!
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Marking fixed.
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Related Issues (20)
- Dirichlet distribution sampling issue when jit_compile=True HOT 1
- AttributeError: 'SymbolicTensor' object has no attribute 'log_prob' when exporting train signature with `IndependentNormal` layer HOT 1
- Add Poisson quantile
- Computing log_prob for tfd.Sample() with a different number of samples
- TruncatedCauchy gives wrong results sometimes
- `_parameter_properties` is not implemented for `LinearGaussianStateSpaceModel`
- tensorflow 2.16.1 breaks tensorflow-probability with Keras `3.0` API HOT 3
- `LinearGaussianStateSpaceModel` filtering initial state is incorrect
- Piecewise distribution
- Keras not accepting character `/` from build_factored_surrogate_posterior HOT 4
- A bug in Linear_Mixed_Effects_Models.ipynb
- Conditional input with multiple flows HOT 1
- mlx backend HOT 1
- Can't jit PoissonLogNormalQuadratureCompound log_prob
- autobnn error HOT 2
- Addition of "location" type parameter in the Gamma distribution HOT 2
- Unexpected Symbolic tensor in Tensorflow Probability tensor_coercible object (mixture layer)
- TFP JAX: The transition kernel drastically decreases speed.
- jax.dtypes.prng_key gives `AttributeError: module 'jax.dtypes' has no attribute 'prng_key'` HOT 1
- MultivariateNormalTriL Layer appears to be incompatible with tf.keras in tf 2.16.1 and tfp 0.24 HOT 2
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