distribution-free learning

Distribution-Free Sequential Prediction with Abstentions COLT 2026 On the Hardness of Learning Regular Expressions ALT 2026 DF$^2$: Distribution-Free Decision-Focused Learning UAI 2025 The Power of Random Features and the Limits of Distribution-Free Gradient Descent ICML 2025 Efficient Agnostic Learning with Average Smoothness ALT 2024 Distribution Free Domain Generalization ICML 2023 When are Local Queries Useful for Robust Learning? NeurIPS 2022 Distribution Free Learning with Local Queries ALT 2020 On the Complexity of Proper Distribution-Free Learning of Linear Classifiers ALT 2020 Robust Hypothesis Testing Using Wasserstein Uncertainty Sets NeurIPS 2018 Distribution-independent Reliable Learning COLT 2014 Consistency of Nearest Neighbor Classification under Selective Sampling COLT 2012 Generalizing from Several Related Classification Tasks to a New Unlabeled Sample NeurIPS 2011