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..
Sample Adaptive MCMC
Authors: Michael Zhu
NeurIPS 2019 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | Experimental results demonstrate the fast adaptation and effective sampling of SA-MCMC. |
| Researcher Affiliation | Academia | Michael H. Zhu Department of Computer Science Stanford University Stanford, CA 94305 EMAIL |
| Pseudocode | Yes | Algorithm 1 Sample Adaptive MCMC |
| Open Source Code | No | The paper does not include an unambiguous statement or direct link where the authors state they are releasing the code for the work described in this paper. |
| Open Datasets | Yes | classifying digits 7 vs. 9 on the MNIST dataset, and predicting whether an adult s income exceeds $50K/year based on the census income dataset from the UCI repository [52]. |
| Dataset Splits | Yes | For our experiment, we consider 10 regression parameters and a dataset of 10,000 points with a 80%/20% train/test split. ... The covtype dataset has a total of 581,012 data points, and we use a 80% training and 20% test split. |
| Hardware Specification | Yes | Our experiments and timing are done on a Intel Xeon E5-2640v3 using Julia v0.64 [51], except for NUTS which uses Stan C++. |
| Software Dependencies | Yes | Our experiments and timing are done on a Intel Xeon E5-2640v3 using Julia v0.64 [51], except for NUTS which uses Stan C++. ... RStan 2.19.2 [47] |
| Experiment Setup | Yes | The hyperparameters are (MH) q=.03; (MTM) q=.03, M=3; (AM) q=.03, s=.7; (SA) q0=1, N=40. |