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The following term was not found in PubMed: kottititum
Page 1
Post-Contextual-Bandit Inference.
Bibaut A, Chambaz A, Dimakopoulou M, Kallus N, van der Laan M. Bibaut A, et al. Adv Neural Inf Process Syst. 2021 Dec;34:28548-28559. Adv Neural Inf Process Syst. 2021. PMID: 35785105 Free PMC article.
Contextual bandit algorithms are increasingly replacing non-adaptive A/B tests in e-commerce, healthcare, and policymaking because they can both improve outcomes for study participants and increase the chance of identifying good or even best policies. To support credible i …
Contextual bandit algorithms are increasingly replacing non-adaptive A/B tests in e-commerce, healthcare, and policymaking because th …
The Evolution of the One-Armed Bandit.
Kowey PR, Robinson VM. Kowey PR, et al. J Am Coll Cardiol. 2019 Nov 12;74(19):2376-2378. doi: 10.1016/j.jacc.2019.09.019. J Am Coll Cardiol. 2019. PMID: 31699277 Free article. No abstract available.
Baricitinib and β-Cell Function in Patients with New-Onset Type 1 Diabetes.
Waibel M, Wentworth JM, So M, Couper JJ, Cameron FJ, MacIsaac RJ, Atlas G, Gorelik A, Litwak S, Sanz-Villanueva L, Trivedi P, Ahmed S, Martin FJ, Doyle ME, Harbison JE, Hall C, Krishnamurthy B, Colman PG, Harrison LC, Thomas HE, Kay TWH; BANDIT Study Group. Waibel M, et al. N Engl J Med. 2023 Dec 7;389(23):2140-2150. doi: 10.1056/NEJMoa2306691. N Engl J Med. 2023. PMID: 38055252 Clinical Trial.
CONCLUSIONS: In patients with type 1 diabetes of recent onset, daily treatment with baricitinib over 48 weeks appeared to preserve beta-cell function as estimated by the mixed-meal-stimulated mean C-peptide level. (Funded by JDRF International and others; BANDIT Australian …
CONCLUSIONS: In patients with type 1 diabetes of recent onset, daily treatment with baricitinib over 48 weeks appeared to preserve beta-cell …
A Contextual-Bandit-Based Approach for Informed Decision-Making in Clinical Trials.
Varatharajah Y, Berry B. Varatharajah Y, et al. Life (Basel). 2022 Aug 21;12(8):1277. doi: 10.3390/life12081277. Life (Basel). 2022. PMID: 36013456 Free PMC article.
We also evaluated a context-free multi-arm-bandit-based approach, using the same dataset, to showcase the benefits of our approach. ...The contextual-bandit and multi-arm bandit approaches provide 72.63% and 64.34% gains, respectively, compared to a random as …
We also evaluated a context-free multi-arm-bandit-based approach, using the same dataset, to showcase the benefits of our approach. . …
Bandit tusks.
[No authors listed] [No authors listed] Nat Biotechnol. 2018 Nov 9;36(11):1032. doi: 10.1038/nbt1118-1032a. Nat Biotechnol. 2018. PMID: 30412197 No abstract available.
Some performance considerations when using multi-armed bandit algorithms in the presence of missing data.
Chen X, Lee KM, Villar SS, Robertson DS. Chen X, et al. PLoS One. 2022 Sep 12;17(9):e0274272. doi: 10.1371/journal.pone.0274272. eCollection 2022. PLoS One. 2022. PMID: 36094920 Free PMC article.
When comparing the performance of multi-armed bandit algorithms, the potential impact of missing data is often overlooked. ...We focus on two-armed bandit algorithms with binary outcomes in the context of patient allocation for clinical trials with relatively small …
When comparing the performance of multi-armed bandit algorithms, the potential impact of missing data is often overlooked. ...We focu …
Uncertainty and Exploration.
Gershman SJ. Gershman SJ. Decision (Wash D C ). 2019 Jul;6(3):277-286. doi: 10.1037/dec0000101. Epub 2018 Oct 1. Decision (Wash D C ). 2019. PMID: 33768122 Free PMC article.
Random exploration algorithms are sensitive to total uncertainty across actions, whereas directed exploration algorithms are sensitive to relative uncertainty. This paper reports a multi-armed bandit experiment in which total and relative uncertainty were orthogonally mani …
Random exploration algorithms are sensitive to total uncertainty across actions, whereas directed exploration algorithms are sensitive to re …
Adversarial bandit approach for RIS-aided OFDM communication.
Ahmed Ouameur M, Anh LDT, Massicotte D, Jeon G, de Figueiredo FAP. Ahmed Ouameur M, et al. EURASIP J Wirel Commun Netw. 2022;2022(1):111. doi: 10.1186/s13638-022-02184-6. Epub 2022 Nov 17. EURASIP J Wirel Commun Netw. 2022. PMID: 36411764 Free PMC article. Review.
We propose two low-training overhead and energy-efficient adversarial bandit-based schemes with outstanding performance gains when compared to DL-based reflection beamforming reference methods. ...
We propose two low-training overhead and energy-efficient adversarial bandit-based schemes with outstanding performance gains when co …
Cascaded Algorithm Selection With Extreme-Region UCB Bandit.
Hu YQ, Liu XH, Li SQ, Yu Y. Hu YQ, et al. IEEE Trans Pattern Anal Mach Intell. 2022 Oct;44(10):6782-6794. doi: 10.1109/TPAMI.2021.3094844. Epub 2022 Sep 14. IEEE Trans Pattern Anal Mach Intell. 2022. PMID: 34232866
While the lower-level process employs an anytime tuning approach, the upper-level process is naturally formulated as a multi-armed bandit, deciding which algorithm should be allocated one more piece of time for the lower-level tuning. To achieve the goal of finding the bes …
While the lower-level process employs an anytime tuning approach, the upper-level process is naturally formulated as a multi-armed bandit …
447 results