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Predicting Demographics of High-Resolution Geographies with Geotagged Tweets.

, and . AAAI, page 1460-1466. AAAI Press, (2017)

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Efficiently Learning Adversarially Robust Halfspaces with Noise., , , and . ICML, volume 119 of Proceedings of Machine Learning Research, page 7010-7021. PMLR, (2020)Identifying unpredictable test examples with worst-case guarantees., , , and . ITA, page 1-14. IEEE, (2020)Beyond Perturbations: Learning Guarantees with Arbitrary Adversarial Test Examples., , , and . NeurIPS, (2020)Boosting Barely Robust Learners: A New Perspective on Adversarial Robustness., , , and . NeurIPS, (2022)VC Classes are Adversarially Robustly Learnable, but Only Improperly, , and . Proceedings of the Thirty-Second Conference on Learning Theory, volume 99 of Proceedings of Machine Learning Research, page 2512--2530. Phoenix, USA, PMLR, (25--28 Jun 2019)Certifiable (Multi)Robustness Against Patch Attacks Using ERM., , , and . CoRR, (2023)Transductive Robust Learning Guarantees., , and . CoRR, (2021)Transductive Robust Learning Guarantees., , and . AISTATS, volume 151 of Proceedings of Machine Learning Research, page 11461-11471. PMLR, (2022)Adversarially Robust Learning: A Generic Minimax Optimal Learner and Characterization., , and . NeurIPS, (2022)Theoretical Foundations of Adversarially Robust Learning.. CoRR, (2023)