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Risk-averse trees for learning from logged bandit feedback.

, , , , и . IJCNN, стр. 976-983. IEEE, (2017)

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Komi Trovon

Francesco Bettella

Protein secondary structure prediction using optimized scoring functions: a comparative statistical method. FU Berlin, (2009)

Francesco Solimena

Francesco Pinosa

Francesco Knechtli

 

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Unimodal Thompson Sampling for Graph-Structured Arms., , , и . AAAI, стр. 2457-2463. AAAI Press, (2017)Prediction of Kellgren-Lawrence Grade of Knee Osteoarthritis by Deep Residual Networks Using MR Image with Segmented Image and Slice Position., , , , и . ICAART (3), стр. 1300-1307. SCITEPRESS, (2024)Stochastic Rising Bandits., , , и . ICML, том 162 из Proceedings of Machine Learning Research, стр. 15421-15457. PMLR, (2022)Risk-averse trees for learning from logged bandit feedback., , , , и . IJCNN, стр. 976-983. IEEE, (2017)Machine Learning Techniques for Stackelberg Security Games: a Survey., и . CoRR, (2016)Adaptive and Flexible Smartphone Power Modeling., , , , , , и . Mob. Networks Appl., 18 (5): 600-609 (2013)ARLO: A framework for Automated Reinforcement Learning., , , , и . Expert Syst. Appl., (августа 2023)Best Arm Identification for Stochastic Rising Bandits., , , , и . CoRR, (2023)Last-iterate Convergence to Trembling-hand Perfect Equilibria., , и . CoRR, (2022)Exploiting History Data for Nonstationary Multi-armed Bandit., , , , , и . ECML/PKDD (1), том 12975 из Lecture Notes in Computer Science, стр. 51-66. Springer, (2021)