Differentially Private Contextual Linear Bandits
Authors: Roshan Shariff, Or Sheffet
NeurIPS 2018 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | Experiments with a few variants of our algorithms are detailed in Section D of the supplementary material. |
| Researcher Affiliation | Academia | Roshan Shariff Department of Computing Science University of Alberta Edmonton, Alberta, Canada roshan.shariff@ualberta.ca Or Sheffet Department of Computing Science University of Alberta Edmonton, Alberta, Canada osheffet@ualberta.ca |
| Pseudocode | Yes | Algorithm 1 Linear UCB with Changing Perturbations |
| Open Source Code | No | The paper mentions experiments in supplementary material but does not provide an explicit statement or link for the source code of the methodology. |
| Open Datasets | No | The paper does not provide concrete access information (specific link, DOI, repository name, formal citation with authors/year, or reference to established benchmark datasets) for a publicly available or open dataset. |
| Dataset Splits | No | The paper does not provide specific dataset split information (exact percentages, sample counts, citations to predefined splits, or detailed splitting methodology) needed to reproduce the data partitioning. |
| Hardware Specification | No | The paper does not provide specific hardware details (exact GPU/CPU models, processor types, memory amounts, or detailed computer specifications) used for running its experiments. |
| Software Dependencies | No | The paper does not provide specific ancillary software details (e.g., library or solver names with version numbers) needed to replicate the experiment. |
| Experiment Setup | No | The paper does not contain specific experimental setup details (concrete hyperparameter values, training configurations, or system-level settings) in the main text. |