Tao
@TaoYang2020
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Super excited to share that our paper "Mitigating Exploitation Bias in Learning to Rank with an Uncertainty-aware Empirical Bayes Approach" is accepted in the #TheWebConf2024. Joint work with @QingyaoAi @_parthgupta @rackingroll @probablyjeff @cuize27, @AmazonScience. Thanks.
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Excited to share that our full paper titled "FARA: Future-aware Ranking Algorithm for Fairness Optimization" has been accepted at #cikm2023 together w/ @zhichaoxu_ir @Zhenduo_W @QingyaoAi. The preprint is here with code shared.
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RT @SIGIR_AP: We may not get to a million in 5 days, but we've got 50 followers in one! Thank you! #SIGIRAP #AsiaPacificIsNotAveragePrecisiā¦
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Happy to share that I will attend #WSDM2023 in Singapore in person next week. I will present our work on fair ranking under uncertainty. I would love to discuss search/ranking/IR with anyone interested. Please let me know you will be there.
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Delighted to announce that our paper on "Marginal-Certainty-aware Fair Ranking Algorithm" was accepted in #WSDM2023! š collaboration with Zhichao @zhichao_xu_slc, Zhenduo @Zhenduo_W, Anh @AnhTran75370324, and Qingyao @QingyaoAi. Preprint coming soon!
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RT @zhichao_xu_slc: Interested in Reinforcement Learning and Learning to Rank? You should definitely check our latest manuscript Reinforcemā¦
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RT @SIGIRConf: Now it's official! The first edition of the first SIGIR-AP conference will be in Beijing, China in October 2023 PS: AP stanā¦
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RT @rackingroll: Are you suffering from noisy behavior data, like clicks, when dealing with real industry systems? We are pleased to introdā¦
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RT @zhichao_xu_slc: š„³Check our latest manuscript Effective Exposure Amortizing for Fair Top-k Recommendation on ArXiv
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Excited that our paper "Can clicks be both labels and features? Unbiased Behavior Feature Collection and Uncertainty-aware Learning to Rank" has been accepted as a full paper at #SIGIR2022! w/ Chen @rackingroll, Hanqing, Bin @orion_yin, Parth @_parthgupta, and Qingyao @QingyaoAi
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RT @QingyaoAi: Our @AnhTran75370324 @TaoYang2020 paper on "ULTRA: An Unbiased Learning To Rank Algorithm Toolbox" has been accepted at #CIā¦
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Glad to see that our work "Maximizing Marginal Fairness for Dynamic Learning to Rank" has been accepted as a full paper by the WebConf2021 #TheWebConf2021 #WWW2021, advised by Prof. @QingyaoAi .
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nice
Our paper on "Unbiased Learning to Rank: Online or Offline?" has been accepted in ACM Transactions on Information Systems (TOIS) with @TaoYang2020 @wang_huazheng @maojiaxin Preprint version: Code can be found in ULTRA:
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Excited to share that our work: "Analysis of Multivariate Scoring Functions for Automatic Unbiased Learning to Rank" was accepted as a short-paper for#CIKM2020 , Joint work with Shikai @ShiKaiFang1 ,Shibo @shiboli704 , Yulan @YulanWang717 , and Prof. Qingyao Ai @QingyaoAi .
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