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8 Results
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Workshop
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Is Unsupervised Performance Estimation Impossible When Both Covariates and Labels shift? Lingjiao Chen · Matei Zaharia · James Zou |
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Workshop
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Forecasting labels under distribution-shift for machine-guided sequence design Lauren B Wheelock · Stephen Malina · Jeffrey Gerold · Sam Sinai |
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Poster
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Thu 14:00 |
Estimating and Explaining Model Performance When Both Covariates and Labels Shift Lingjiao Chen · Matei Zaharia · James Zou |
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Poster
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Thu 14:00 |
Fairness Transferability Subject to Bounded Distribution Shift Yatong Chen · Reilly Raab · Jialu Wang · Yang Liu |
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Poster
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Thu 14:00 |
Adapting to Online Label Shift with Provable Guarantees Yong Bai · Yu-Jie Zhang · Peng Zhao · Masashi Sugiyama · Zhi-Hua Zhou |
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Poster
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Thu 9:00 |
Domain Adaptation under Open Set Label Shift Saurabh Garg · Sivaraman Balakrishnan · Zachary Lipton |
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Poster
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Thu 9:00 |
Unsupervised Learning under Latent Label Shift Manley Roberts · Pranav Mani · Saurabh Garg · Zachary Lipton |
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Workshop
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RLSBench: A Large-Scale Empirical Study of Domain Adaptation Under Relaxed Label Shift Saurabh Garg · Nick Erickson · James Sharpnack · Alexander Smola · Sivaraman Balakrishnan · Zachary Lipton |