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..
Spectral Thompson Sampling
Authors: Tomáš Kocák, Michal Valko, Rémi Munos, Shipra Agrawal
AAAI 2014 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | We also show that our algorithm is competitive on both synthetic and real-world data. |
| Researcher Affiliation | Collaboration | Tom aˇs Koc ak Seque L team INRIA Lille Nord Europe France Michal Valko Seque L team INRIA Lille Nord Europe France R emi Munos Seque L team INRIA Lille, France Microsoft Research NE, USA Shipra Agrawal ML and Optimization Group Microsoft Research Bangalore, India |
| Pseudocode | Yes | Algorithm 1 Spectral Thompson Sampling |
| Open Source Code | No | The paper does not provide an explicit statement or link indicating that the source code for the described methodology is publicly available. |
| Open Datasets | Yes | Furthermore, we performed the comparison of the algorithms on the Movie Lens dataset (Lam and Herlocker 2012) of the movie ratings. |
| Dataset Splits | No | The paper mentions using synthetic and real-world data but does not provide specific training/validation/test dataset splits (e.g., percentages or sample counts). |
| Hardware Specification | No | No specific hardware details (e.g., GPU/CPU models, processor types, or memory amounts) used for running the experiments are provided in the paper. |
| Software Dependencies | No | The paper does not provide specific software dependencies with version numbers (e.g., library names with versions) needed to replicate the experiment. |
| Experiment Setup | Yes | In all experiments, we had δ = 0.001, λ = 1, and R = 0.01. |