Release notes

This is the 0.19.0 release of TensorFlow Probability. It is tested and stable against TensorFlow version 2.11 and JAX 0.3.25 .

Change notes

Bijectors
- Added UnitVector bijector to map to the unit sphere.
Distributions
- Added noncentral Chi2 distribution to TFP.
- Added differentiable quantile and cdf function approximation to NC2 distribution.
- Added quantiles to Student-T, Beta and SigmoidBeta, with efficient
  implementations for Student-T quantile/cdf.
- Allow structured index points to GaussianProcess* classes.
- Improved efficiency of GaussianProcess* gradients through custom gradients
  on log_prob.
Linear Algebra
- Added functions (with custom gradients) to handle Hermitian Symmetric Positive-definite matrices:
  - tfp.math.hspd_logdet
  - tfp.math.hpsd_quadratic_form_solve and tfp.math.hpsd_quadratic_form_solvevec
  - tfp.math.hpsd_solve and tfp.math.hpsd_solvevec
Optimizer
- BUGFIX: Prevent Hager-Zhang linesearch from terminating early.
PSD Kernels
- Added support for structured inputs in PSD Kernel.
STS
- Added seasonality support to STS Gibbs Sampler.
Other
- BUGFIX: Allow jnp.bfloat16 arrays to be correctly recognized as floats.