Comments (2)
xukai92
commented on May 23, 2024
I refactored it anyway (in 6cd458d) but I don't see any reason we have to drop the dependency any more. Plus it still depends on Hamiltonian any way?
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xukai92
commented on May 23, 2024
Closed by PR #79.
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Related Issues (20)
- Disable warning about rejection because of numerical errors
- Integration test for Turing
- Adaptation tests fail if unlucky with random seed
- Move `DifferentiableDensityModel` out of AHMC HOT 2
- Don't pass `Hamiltonian` around, but instead `metric` and `DifferentiableDensityModel`.
- Antithetic/Control Variates sampling
- Add low-rank metric adaptation HOT 4
- Support for RMHMC with explicit integrator HOT 1
- Sampler failure when num of samples = 1
- Add Pathfinder adaptation
- AMAGOLD support HOT 1
- Unify the Euclidean metric types
- Expose adapted mass matrix
- README example fails HOT 3
- Step size initialization uses GLOBAL RNG instead of reproducible RNG from caller
- Forecasting
- Feature request: HMC sampling from convex polytopes defined by linear programs
- Add nuts-rs's metric adaptation HOT 15
- More friendly default `sample` interface HOT 9
- Make `HMCState` stores `rng` in `AbstractMCMC` interface. HOT 5
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