Notice: The reproducibility variables underlying each score are classified using an automated LLM-based pipeline, validated against a manually labeled dataset. LLM-based classification introduces uncertainty and potential bias; scores should be interpreted as estimates. Full accuracy metrics and methodology are described in Coakley et alK. L. Coakley, T. Snelleman, H. Hoos, and O. E. Gundersen, "The embrace of open science: An analysis of a decade of AI research and 56 800 conference papers," Under Review, 2026..
Slice Sampling on Hamiltonian Trajectories
Authors: Benjamin Bloem-Reddy, John Cunningham
ICML 2016 | Venue PDF | 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}. |