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Research map / Bandits and online learning

Contextual bandits and Thompson sampling: research map

546 accepted papers on Contextual bandits and Thompson sampling in Bandits and online learning, from ICML, NeurIPS, ICLR, CVPR and AAAI (2016–2026), grouped into 2 clusters and 7 approaches. The busiest year so far is 2024.

Within Bandits and online learning, its share shrank from 26.8% in 2023–24 to 22.4% in 2025–26 (149 → 133 papers at ICML, NeurIPS, CVPR and AAAI, the venues with data for all four years).

2016: 21162017: 17172018: 28182019: 30192020: 37202021: 70212022: 61222023: 74232024: 75242025: 74252026: 5926

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Approaches and key papers

contextual bandits · contexts · user · 436 papers

Approaches in this cluster:

Most cited and most cited since 2024:

thompson sampling · bayesian · ts · 110 papers

Approaches in this cluster:

Most cited and most cited since 2024:

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