Comments (3)
Alternatively (if this is relatively cheap), we can also just let the adapter function take in z and do the flattening.
I vote for this way. I think that it is cheap because we have a bunch of this operator in _is_turning
function. It is easy to detect if it is cheap or not when we start to work with more complicated models.
The current hmc_kernel can have a separate get_kernel method that would return either an HMC or NUTS kernel depending on args. This can be called by the user or from inside mcmc.
Maybe we'd better discuss about this design choice in message. :)
Default kinetic energy function.
Yes, I agree.
Pyro style model/guide syntax
Yup.
from numpyro.
@neerajprad Look like most issues of HMC have been resolved. In upcoming days, I will address memory issue of iterative NUTS, and try to reduce its compiling time if possible. I think we have some room to improve given that functions will be recompiled when static args are not put in keywords (which we observed in dirichlet pr).
from numpyro.
This is great, I am addressing the last remaining issue here.
from numpyro.
Related Issues (20)
- random_flax_module broken HOT 4
- Can't pickle MCMC object (MixedHMC kernel) when `chain_method="parallel"` HOT 3
- Adding HMCECS proxy functions HOT 2
- AttributeError: Can't pickle local object 'ESS.DifferentialMove.<locals>.make_differential_move.<locals>.differential_move' HOT 2
- [FR] MaskTransform HOT 2
- tracer error in blocked AutoGuide HOT 12
- Custom sampling per site for non-HMC approaches HOT 3
- `TransformedDistribution` support too broad when using `AffineTransform` transformation? HOT 2
- Correct control_flow.cond usage HOT 6
- Factor Analysis/PPCA Tutorial HOT 1
- Censoring Example HOT 1
- numpyro.deterministic static on infer.Predictive HOT 13
- [FR] Support for different supports in component distributions for mixture models HOT 5
- ImportError: cannot import name 'CAR' from "numpyro.distrubutions.continuous' HOT 2
- Use biased autocorrelation estimate by default HOT 1
- mean_accept_prob significantly different after warmup HOT 8
- HSGP utility functions in the `contrib` module? HOT 2
- Add Pareto Smoothed Importance Sampling (PSIS) diagnostic method
- contrib.hsgp: support vector-valued kernel hyperparameters HOT 3
- [FR] Truncated Power Law distribution
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from numpyro.