Parallel Online Clustering of Bandits via Hedonic Game
Authors: Xiaotong Cheng, Cheng Pan, Setareh Maghsudi
ICML 2023 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | We evaluate the performance of our algorithm using synthetic and real-world datasets. Besides, we compare the results to some state-of-the-art bandit and clustering of bandits algorithms. |
| Researcher Affiliation | Academia | 1Department of Computer Science, University of T ubingen, T ubingen, Germany. |
| Pseudocode | Yes | Algorithm 1 CLUB-HG; Algorithm 2 Hedonic Clustering Game |
| Open Source Code | No | The paper does not provide any explicit statement about releasing source code or a link to a code repository. |
| Open Datasets | Yes | Netflix Dataset. Netflix Movie Rating Dataset from Netflix s Netflix Prize competition on https://www.kaggle.com/datasets/ rishitjavia/netflix-movie-rating-dataset? resource=download; Movie Lens Dataset. Movie Lens 25M Movie Ratings Dataset on https:// grouplens.org/datasets/movielens/ |
| Dataset Splits | No | The paper describes data extraction and processing (e.g., for Netflix, 'We extract 103 movies with the most ratings and n = 200 users...'), but it does not specify explicit training, validation, or test dataset splits (e.g., percentages or sample counts for each split). |
| Hardware Specification | No | The paper does not provide specific details about the hardware (e.g., GPU/CPU models, memory) used to run the experiments. |
| Software Dependencies | No | The paper does not mention specific software dependencies with version numbers (e.g., Python, PyTorch, TensorFlow versions, or specific library versions). |
| Experiment Setup | Yes | Input: Exploration parameter: αj(t), hedonic clustering accuracy parameter βt.; Initialization bi,0 = 0 Rd and M i,0 = I Rd d, i V ; Clusters ˆV1,1 = V , number of clusters m1 = 1; We set L = 10, d = 5 and T = 1000. ... We set σ = 0.1. All regret plots are based on the average results of 20 independent runs. |