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Learning from Label Proportions by Learning with Label Noise



Jianxin Zhang , Yutong Wang , Clayton Scott


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Supervised PCA: A Multiobjective Approach



Alexander Ritchie , Laura Balzano , Clayton Scott


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Consistent Estimation of Identifiable Nonparametric Mixture Models from Grouped Observations



Alexander Ritchie , Robert A. Vandermeulen , Clayton Scott


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Learning from Label Proportions: A Mutual Contamination Framework



Clayton Scott , Jianxin Zhang


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Calibrated Surrogate Losses for Adversarially Robust Classification



Han Bao , Clayton Scott , Masashi Sugiyama

* COLT2020 (to appear); 43 pages, 21 figures 

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PAC Reinforcement Learning without Real-World Feedback



Yuren Zhong , Aniket Anand Deshmukh , Clayton Scott


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Learning from Multiple Corrupted Sources, with Application to Learning from Label Proportions



Clayton Scott , Jianxin Zhang


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A Generalization Error Bound for Multi-class Domain Generalization



Aniket Anand Deshmukh , Yunwen Lei , Srinagesh Sharma , Urun Dogan , James W. Cutler , Clayton Scott


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