Austin, Edward; Morgan, Lucy E. (2025) Detecting changes and anomalies in nonstationary contextual bandits with an application to task categorisation. Information Sciences, 717. doi:10.1016/j.ins.2025.122270
Reference Type | Journal (article/letter/editorial) | ||
---|---|---|---|
Title | Detecting changes and anomalies in nonstationary contextual bandits with an application to task categorisation | ||
Journal | Information Sciences | ||
Authors | Austin, Edward | Author | |
Morgan, Lucy E. | Author | ||
Year | 2025 (November) | Volume | 717 |
Publisher | Elsevier BV | ||
DOI | doi:10.1016/j.ins.2025.122270Search in ResearchGate | ||
Generate Citation Formats | |||
Mindat Ref. ID | 18441490 | Long-form Identifier | mindat:1:5:18441490:1 |
GUID | 0 | ||
Full Reference | Austin, Edward; Morgan, Lucy E. (2025) Detecting changes and anomalies in nonstationary contextual bandits with an application to task categorisation. Information Sciences, 717. doi:10.1016/j.ins.2025.122270 | ||
Plain Text | Austin, Edward; Morgan, Lucy E. (2025) Detecting changes and anomalies in nonstationary contextual bandits with an application to task categorisation. Information Sciences, 717. doi:10.1016/j.ins.2025.122270 | ||
In | (2025) Information Sciences Vol. 717. Elsevier BV |
References Listed
These are the references the publisher has listed as being connected to the article. Please check the article itself for the full list of references which may differ. Not all references are currently linkable within the Digital Library.
Not Yet Imported: Computer Science & IT Research Journal - journal-article : 10.51594/csitrj.v5i1.700 If you would like this item imported into the Digital Library, please contact us quoting Journal ID | |
Not Yet Imported: - journal-article : 10.1109/MNET.001.2100405 If you would like this item imported into the Digital Library, please contact us quoting Journal ID | |
Not Yet Imported: Advances in Applied Mathematics - journal-article : 10.1016/0196-8858(85)90002-8 If you would like this item imported into the Digital Library, please contact us quoting Journal ID | |
![]() | |
Not Yet Imported: - journal-article : 10.1016/j.trc.2019.07.020 If you would like this item imported into the Digital Library, please contact us quoting Journal ID | |
Not Yet Imported: - journal-article : 10.1109/MWC.2016.7498076 If you would like this item imported into the Digital Library, please contact us quoting Journal ID | |
Moradipari (2018) Learning to dynamically price electricity demand based on multi-armed bandits , 917 | |
Mate (2021) Risk-aware interventions in public health: planning with restless multi-armed bandits , 880 | |
![]() | |
He () | |
Lin (2018) Contextual bandit with adaptive feature extraction , 937 | |
Xu (2020) Contextual-bandit based personalized recommendation with time-varying user interests vol. 34, 6518 | |
Luo (2018) Efficient contextual bandits in non-stationary worlds , 1739 | |
Zhu () | |
Wirth (2023) Contextual multi-armed bandits for non-stationary heterogeneous mobile edge computing , 1 | |
Not Yet Imported: - journal-article : 10.1007/s11222-022-10112-3 If you would like this item imported into the Digital Library, please contact us quoting Journal ID | |
Wu (2018) Learning contextual bandits in a non-stationary environment , 495 | |
Not Yet Imported: - journal-article : 10.1109/OJSP.2024.3386490 If you would like this item imported into the Digital Library, please contact us quoting Journal ID | |
Chen (2019) A new algorithm for non-stationary contextual bandits: efficient, optimal and parameter-free , 696 | |
![]() | |
Baheri (2025) Mathematics Multilevel constrained bandits: a hierarchical upper confidence bound approach with safety guarantees 13, 149 | |
Ghoorchian (2024) IEEE Open J. Signal Process. Contextual multi-armed bandit with costly feature observation in non-stationary environments , 1 | |
Chen (2021) Combinatorial semi-bandit in the non-stationary environment , 865 | |
Liu (2022) Adv. Neural Inf. Process. Syst. Non-stationary bandits with knapsacks 35, 16522 | |
Min (2024) IEEE Trans. Veh. Technol. Beam alignment for non-stationary environments using a novel time-varying structured bandit , 1 | |
![]() | |
Chen (2022) Online and distribution-free robustness: regression and contextual bandits with Huber contamination , 684 | |
Niss (2020) What you see may not be what you get: ucb bandit algorithms robust to ε-contamination vol. 124, 450 | |
Zhao () | |
Mathieu (2024) Trans. Mach. Learn. Res. J. Bandits corrupted by nature: lower bounds on regret and robust optimistic algorithms | |
Lattimore (2020) | |
Cao (2019) Nearly optimal adaptive procedure with change detection for piecewise-stationary bandit , 418 | |
Not Yet Imported: - journal-article : 10.1002/sam.11586 If you would like this item imported into the Digital Library, please contact us quoting Journal ID | |
Not Yet Imported: - journal-article : 10.1023/A:1013689704352 If you would like this item imported into the Digital Library, please contact us quoting Journal ID | |
Oh (2021) Multinomial logit contextual bandits: provable optimality and practicality vol. 35, 9205 | |
![]() | |
Not Yet Imported: IEEE Access - journal-article : 10.1109/ACCESS.2021.3114430 If you would like this item imported into the Digital Library, please contact us quoting Journal ID | |
Pires (2024) IEEE Trans. Mach. Learn. Commun. Netw. On learning suitable caching policies for in-network caching | |
Han (2025) IEEE Open J. Commun. Soc. Bandit-based multiple access approach for multi-link operation in heterogeneous dynamic networks | |
Chen (2025) Application of Multi-Armed Bandit Algorithm in Quantitative Finance vol. 73, 01011 | |
Kim (2023) A gans-based approach for stock price anomaly detection and investment risk management , 1 | |
Not Yet Imported: Information Systems Research - journal-article : 10.1287/isre.2022.1191 If you would like this item imported into the Digital Library, please contact us quoting Journal ID |
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