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06/13/2022
Scalable Exploration for Neural Online Learning to Rank with Perturbed Feedback
Deep neural networks (DNNs) demonstrate significant advantages in improv...
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01/24/2022
Learning Contextual Bandits Through Perturbed Rewards
Thanks to the power of representation learning, neural contextual bandit...
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01/17/2022
Learning Neural Ranking Models Online from Implicit User Feedback
Existing online learning to rank (OL2R) solutions are limited to linear ...
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11/01/2021
Calibrating Explore-Exploit Trade-off for Fair Online Learning to Rank
Online learning to rank (OL2R) has attracted great research interests in...
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02/28/2021
PairRank: Online Pairwise Learning to Rank by Divide-and-Conquer
Online Learning to Rank (OL2R) eliminates the need of explicit relevance...
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09/02/2019
Active Collaborative Sensing for Energy Breakdown
Residential homes constitute roughly one-fourth of the total energy usag...
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06/03/2019
The FacT: Taming Latent Factor Models for Explainability with Factorization Trees
Latent factor models have achieved great success in personalized recomme...
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06/10/2018