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..
Relaxing the Additivity Constraints in Decentralized No-Regret High-Dimensional Bayesian Optimization
Authors: Anthony Bardou, Patrick Thiran, Thomas Begin
ICLR 2024 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | In this section, we detail the experiments carried out to evaluate the empirical performance of Du MBO. An open-source implementation of Du MBO, based on Bo Torch (Balandat et al., 2020), is available on Git Hub1. [...] Table 2 gathers the averaged results that were obtained. Additionally, we made wall-clock time measurements on some experiments and we discuss them in Appendix J. |
| Researcher Affiliation | Academia | Anthony Bardou & Patrick Thiran IC, EPFL Lausanne, Switzerland EMAIL Thomas Begin ENS Lyon, UCBL, CNRS, LIP Lyon, France EMAIL |
| Pseudocode | Yes | The detailed algorithm (Algorithm 1), as well as a discussion about its time complexity, are provided in Appendix E. |
| Open Source Code | Yes | An open-source implementation of Du MBO, based on Bo Torch (Balandat et al., 2020), is available on Git Hub1. 1https://github.com/abardou/dumbo |
| Open Datasets | Yes | Our benchmark comprises four synthetic functions and three real-world experiments. [...] The 2d Six-Hump Camel (SHC), the 6d Hartmann, the 24d Powell and the 100d Rastrigin. [...] We chose to compute the likelihood of the galaxy clustering in Chuang et al. (2013) from the Data Release 9 (DR9) CMASS sample of the SDSS-III Baryon Oscillation Spectroscopic Survey (BOSS). |
| Dataset Splits | No | To condition the ith GP, we consider the data set Si = n xj Vi, Yj,i o |
| Hardware Specification | Yes | The measurements were taken using a server equipped with two Intel(R) Xeon(R) CPU E5-2690 v4 @ 2.60GHz, with 14 cores (28 threads) each. |
| Software Dependencies | No | An open-source implementation of Du MBO, based on Bo Torch (Balandat et al., 2020), is available on Git Hub1. |
| Experiment Setup | Yes | Finally, note that we chose a Mat ern kernel (with its hyperparameter ν = 5/2) for each GP involved in these experiments. [...] We propose to proceed by gradient ascent (e.g. with ADAM (Kingma & Ba, 2015)) |