Ding, Qin, Kang, Yue, Liu, Yi-Wei, Lee, Thomas C., Hsieh, Cho-Jui, and Sharpnack, James. Syndicated Bandits: A Framework for Auto Tuning Hyper-parameters in Contextual Bandit Algorithms. Retrieved from https://par.nsf.gov/biblio/10443794. 36th Conference on Neural Information Processing Systems (NeurIPS 2022) .
Ding, Qin, Kang, Yue, Liu, Yi-Wei, Lee, Thomas C., Hsieh, Cho-Jui, & Sharpnack, James. Syndicated Bandits: A Framework for Auto Tuning Hyper-parameters in Contextual Bandit Algorithms. 36th Conference on Neural Information Processing Systems (NeurIPS 2022), (). Retrieved from https://par.nsf.gov/biblio/10443794.
Ding, Qin, Kang, Yue, Liu, Yi-Wei, Lee, Thomas C., Hsieh, Cho-Jui, and Sharpnack, James.
"Syndicated Bandits: A Framework for Auto Tuning Hyper-parameters in Contextual Bandit Algorithms". 36th Conference on Neural Information Processing Systems (NeurIPS 2022) (). Country unknown/Code not available. https://par.nsf.gov/biblio/10443794.
@article{osti_10443794,
place = {Country unknown/Code not available},
title = {Syndicated Bandits: A Framework for Auto Tuning Hyper-parameters in Contextual Bandit Algorithms},
url = {https://par.nsf.gov/biblio/10443794},
abstractNote = {},
journal = {36th Conference on Neural Information Processing Systems (NeurIPS 2022)},
author = {Ding, Qin and Kang, Yue and Liu, Yi-Wei and Lee, Thomas C. and Hsieh, Cho-Jui and Sharpnack, James},
}
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