Slice Sampling on Hamiltonian Trajectories
Authors: Benjamin Bloem-Reddy, John Cunningham
ICML 2016 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | In order to test the effectiveness and flexibility of HSS, we performed experiments on two very different models. |
| Researcher Affiliation | Academia | Department of Statistics, Columbia University |
| Pseudocode | Yes | Algorithm 1 Hamiltonian slice sampling |
| Open Source Code | No | The paper does not provide any explicit statements about the release of open-source code for the methodology or links to a code repository. |
| Open Datasets | Yes | using the galaxy dataset, with n = 82 observations, that was also used in Favaro & Teh (2013); Lomeli et al. (2015). |
| Dataset Splits | No | The paper mentions using synthetic and 'galaxy' datasets but does not provide specific details on training, validation, or test dataset splits (e.g., percentages, sample counts, or cross-validation setup) required for reproduction. |
| Hardware Specification | No | The paper does not provide specific hardware details (e.g., GPU/CPU models, memory amounts, or detailed computer specifications) used for running its experiments. |
| Software Dependencies | No | The paper mentions using the 'R-CODA package' but does not provide specific version numbers for it or any other key software dependencies. |
| Experiment Setup | Yes | Slice sampling parameters for HSS were set at w = 0.5 and m = 8. Momentum variables were sampled i.i.d. pi N(0, σ2 p), with σp {0.1, 0.25}. |