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Learning to Augment for Casual User Recommendation


Apr 02, 2022
Jianling Wang, Ya Le, Bo Chang, Yuyan Wang, Ed H. Chi, Minmin Chen

* Accepted by TheWebConf 2022 

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Understanding and Improving Fairness-Accuracy Trade-offs in Multi-Task Learning


Jun 04, 2021
Yuyan Wang, Xuezhi Wang, Alex Beutel, Flavien Prost, Jilin Chen, Ed H. Chi


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An Objective for Hierarchical Clustering in Euclidean Space and its Connection to Bisecting K-means


Aug 30, 2020
Benjamin Moseley, Yuyan Wang


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Beyond Point Estimate: Inferring Ensemble Prediction Variation from Neuron Activation Strength in Recommender Systems


Aug 17, 2020
Zhe Chen, Yuyan Wang, Dong Lin, Derek Zhiyuan Cheng, Lichan Hong, Ed H. Chi, Claire Cui

* 9 pages 

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Small Towers Make Big Differences


Aug 13, 2020
Yuyan Wang, Zhe Zhao, Bo Dai, Christopher Fifty, Dong Lin, Lichan Hong, Ed H. Chi


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Relational Algorithms for k-means Clustering


Aug 01, 2020
Benjamin Moseley, Kirk Pruhs, Alireza Samadian, Yuyan Wang


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Fair Hierarchical Clustering


Jun 19, 2020
Sara Ahmadian, Alessandro Epasto, Marina Knittel, Ravi Kumar, Mohammad Mahdian, Benjamin Moseley, Philip Pham, Sergei Vassilvitskii, Yuyan Wang


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