211 citations · 249 across the 8 of their papers we have counts for
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cs.IR2022
Scalable Exploration for Neural Online Learning to Rank with Perturbed Feedback
Yiling Jia, Hongning Wang
Deep neural networks (DNNs) demonstrate significant advantages in improving ranking performance in retrieval tasks. Driven by the recent technical developments in optimization and…
cs.IR2022
Learning Neural Ranking Models Online from Implicit User Feedback
Yiling Jia, Hongning Wang
Existing online learning to rank (OL2R) solutions are limited to linear models, which are incompetent to capture possible non-linear relations between queries and documents. In thi…
cs.LG2022★ 4 cited
Learning Neural Contextual Bandits Through Perturbed Rewards
Yiling Jia, Weitong Zhang, Dongruo Zhou +2
Thanks to the power of representation learning, neural contextual bandit algorithms demonstrate remarkable performance improvement against their classical counterparts. But because…