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10 Results

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Poster
Thu 14:00 Adapting to Online Label Shift with Provable Guarantees
Yong Bai · Yu-Jie Zhang · Peng Zhao · Masashi Sugiyama · Zhi-Hua Zhou
Workshop
Is Unsupervised Performance Estimation Impossible When Both Covariates and Labels shift?
Lingjiao Chen · Matei Zaharia · James Zou
Workshop
Forecasting labels under distribution-shift for machine-guided sequence design
Lauren B Wheelock · Stephen Malina · Jeffrey Gerold · Sam Sinai
Workshop
Neural Network Online Training with Sensitivity to Multiscale Temporal Structure
Matt Jones · Tyler Scott · Gamaleldin Elsayed · Mengye Ren · Katherine Hermann · David Mayo · Michael Mozer
Poster
Thu 14:00 Estimating and Explaining Model Performance When Both Covariates and Labels Shift
Lingjiao Chen · Matei Zaharia · James Zou
Poster
Thu 14:00 Fairness Transferability Subject to Bounded Distribution Shift
Yatong Chen · Reilly Raab · Jialu Wang · Yang Liu
Poster
Thu 9:00 Domain Adaptation under Open Set Label Shift
Saurabh Garg · Sivaraman Balakrishnan · Zachary Lipton
Poster
Wed 14:00 Exploit Reward Shifting in Value-Based Deep-RL: Optimistic Curiosity-Based Exploration and Conservative Exploitation via Linear Reward Shaping
Hao Sun · Lei Han · Rui Yang · Xiaoteng Ma · Jian Guo · Bolei Zhou
Poster
Thu 9:00 Unsupervised Learning under Latent Label Shift
Manley Roberts · Pranav Mani · Saurabh Garg · Zachary Lipton
Workshop
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