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..
Robust and Conjugate Gaussian Process Regression
Authors: Matias Altamirano, Francois-Xavier Briol, Jeremias Knoblauch
ICML 2024 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | To demonstrate its strong empirical performance, we deploy RCGP for problems ranging from Bayesian optimisation to sparse variational Gaussian processes. |
| Researcher Affiliation | Academia | 1Department of Statistical Science, University College London, London, United Kingdom. Correspondence to: Matias Altamirano <EMAIL>, Franc ois-Xavier Briol <EMAIL>, Jeremias Knoblauch <EMAIL>. |
| Pseudocode | No | The paper contains mathematical derivations and descriptions of the method, but no explicit section or figure labeled 'Pseudocode' or 'Algorithm', nor any structured, code-like algorithm blocks. |
| Open Source Code | Yes | The code is available at https://github.com/ maltamiranomontero/RCGP. |
| Open Datasets | Yes | Boston The dataset can be found at https://www.cs.toronto.edu/ delve/data/boston/bostonDetail.html. |
| Dataset Splits | Yes | Instead of pw(y|θ, σ2), we thus maximise the leave-one-out cross validation (LOO-CV) predictive posteriors via |
| Hardware Specification | Yes | All the experiments were running on an Apple M2 Pro CPU with 16 GB of memory. |
| Software Dependencies | No | The paper mentions software like 'GPflow' and refers to 'the official implementation provided in the paper' for m-GP, but does not provide specific version numbers for these software components or their dependencies. |
| Experiment Setup | Yes | All hyperparameters are selected via L-BFGS. |