Categorized Bandits
Authors: Matthieu Jedor, Vianney Perchet, Jonathan Louedec
NeurIPS 2019 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | Finally, we have conducted an analysis on real data to highlight that those ordered categories actually exist in practice. Finally, we conduct numerical experiments on different scenarios to illustrate both finite-time and asymptotic performances of our algorithms compared to algorithms either agnostic to the structure or only taking it partly into account. |
| Researcher Affiliation | Collaboration | Matthieu Jedor CMLA, ENS Paris-Saclay & Cdiscount jedor@cmla.ens-cachan.fr Jonathan Louëdec Cdiscount jonathan.louedec@cdiscount.com Vianney Perchet CMLA, ENS Paris-Saclay & Criteo AI Lab perchet@cmla.ens-cachan.fr |
| Pseudocode | Yes | Algorithm 1: CATSE(δ) |
| Open Source Code | No | The paper does not provide concrete access to source code for the described methodology. No links to repositories or explicit statements of code release are found. |
| Open Datasets | No | We have collected the CTR of products in four different categories over one month on the e-commerce website Cdiscount, one of the leading ecommerce companies in France, gathered in Table 2a. For privacy reason, the exact content of the different categories cannot be revealed. |
| Dataset Splits | No | The paper describes numerical experiments where rewards are drawn from Gaussian distributions or analysis of collected real-world data (for which privacy is cited as a reason for non-disclosure), but does not specify any training/validation/test dataset splits. |
| Hardware Specification | No | The paper does not provide specific hardware details (e.g., GPU/CPU models, memory) used for running its experiments. It only states that simulations were run. |
| Software Dependencies | No | The paper does not provide specific ancillary software details with version numbers (e.g., library or solver names with versions) needed to replicate the experiment. |
| Experiment Setup | Yes | The simulations were ran until time horizon 10,000 and results were averaged over 100 independent runs. CATSEs and CATSE0 were run with δ = 1/t and δ = 1/Mt, respectively. |