From Biased Selective Labels to Pseudo-Labels: An Expectation-Maximization Framework for Learning from Biased Decisions

Trenton Chang; Jenna Wiens

2024 ICML ICML 2024

From Biased Selective Labels to Pseudo-Labels: An Expectation-Maximization Framework for Learning from Biased Decisions

Abstract

No abstract available. No abstract was captured for this paper when its proceedings were scraped - most often an older edition published without one online. How the corpus is built.

Authors

Trenton Chang, Jenna Wiens

Topics

Artificial Intelligence > Core AI > Causal Inference Machine Learning > Optimization & Theory > Learning Theory Machine Learning > Application Areas > Domain Adaptation

Keywords

expectation maximization roc curve auc bias mitigation disparate censorship sepsis classification

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