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BubbleRank: Safe Online Learning to Re-Rank via Implicit Click Feedback.

, , , , , , и . UAI, том 115 из Proceedings of Machine Learning Research, стр. 196-206. AUAI Press, (2019)

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Shahram Zoghi

Ahmad Masrour

Farhad Michael Masrour

 

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Revisiting Approximate Metric Optimization in the Age of Deep Neural Networks., , , и . SIGIR, стр. 1241-1244. ACM, (2019)Relative confidence sampling for efficient on-line ranker evaluation., , , и . WSDM, стр. 73-82. ACM, (2014)Relative Upper Confidence Bound for the K-Armed Dueling Bandit Problem., , , и . CoRR, (2013)Overcoming Prior Misspecification in Online Learning to Rank., , , и . AISTATS, том 206 из Proceedings of Machine Learning Research, стр. 594-614. PMLR, (2023)Advancements in Dueling Bandits., , , и . IJCAI, стр. 5502-5510. ijcai.org, (2018)MergeDTS: A Method for Effective Large-Scale Online Ranker Evaluation., , , и . ACM Trans. Inf. Syst., 38 (4): 40:1-40:28 (2020)Ever Evolving Evaluator (EV3): Towards Flexible and Reliable Meta-Optimization for Knowledge Distillation., , , и . CoRR, (2023)MergeRUCB: A Method for Large-Scale Online Ranker Evaluation., , и . WSDM, стр. 17-26. ACM, (2015)Bayesian Optimization in a Billion Dimensions via Random Embeddings., , , , и . J. Artif. Intell. Res., (2016)BubbleRank: Safe Online Learning to Rerank., , , , , , и . CoRR, (2018)