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Omar Montasser

Beyond Worst-Case Online Classification: VC-Based Regret Bounds for Relaxed Benchmarks

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Apr 14, 2025
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DDPM Score Matching and Distribution Learning

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Apr 07, 2025
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Transformation-Invariant Learning and Theoretical Guarantees for OOD Generalization

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Oct 30, 2024
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Derandomizing Multi-Distribution Learning

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Sep 26, 2024
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Theoretical Foundations of Adversarially Robust Learning

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Jun 13, 2023
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Strategic Classification under Unknown Personalized Manipulation

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May 25, 2023
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Certifiable (Multi)Robustness Against Patch Attacks Using ERM

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Mar 15, 2023
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Adversarially Robust Learning: A Generic Minimax Optimal Learner and Characterization

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Sep 15, 2022
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A Theory of PAC Learnability under Transformation Invariances

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Feb 15, 2022
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Boosting Barely Robust Learners: A New Perspective on Adversarial Robustness

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Feb 11, 2022
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