Jun 29, 2023 · We design for the first time a Combinatorial Multi-Armed Bandit (CMAB) framework for correlation clustering.

This work designs for the first time a Combinatorial Multi-Armed Bandit (CMAB) framework for correlation clustering in a setting where edge weights of a ...

Code and data for the paper "A Combinatorial Multi-Armed Bandit Approach to Correlation Clustering", DAMI 2023 - Ralyhu/CMAB-CC.

Jun 29, 2023 · ArticlePDF Available. A combinatorial multi-armed bandit approach to correlation clustering. June 2023; Data Mining and Knowledge Discovery 37 ...

We tackle this problem by resorting to the reinforcement-learning paradigm, and, specifically, we design for the first time a Combinatorial Multi-Armed Bandit ( ...

approach to solving the combinatorial multi-armed bandit problem that we have defined. This approach essentially ignores the dependencies across the ...

Missing: multi- armed bandit

Dec 5, 2022 · The method of ranked bandits [7] generates multiple candidate items through multiple bandits, where each bandit is independent, but it does not ...

We investigate the problem of stochastic, combinatorial multi-armed bandits where the learner only has access to bandit feedback and the reward function can be ...

A Combinatorial Multi-Armed Bandit Approach to Correlation Clustering Data Mining and Knowledge Discovery (DAMI), 37(4): 1630-1691, 2023 [pdf] [code&data]. J ...