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2020 – today
- 2024
[c14]Saba Ahmadi, Avrim Blum, Omar Montasser, Kevin M. Stangl:
Agnostic Multi-Robust Learning using ERM. AISTATS 2024: 2242-2250- [i15]Omar Montasser, Han Shao, Emmanuel Abbe:
Transformation-Invariant Learning and Theoretical Guarantees for OOD Generalization. CoRR abs/2410.23461 (2024) - 2023
- [c13]Han Shao, Avrim Blum, Omar Montasser:
Strategic Classification under Unknown Personalized Manipulation. NeurIPS 2023 - [i14]Saba Ahmadi, Avrim Blum, Omar Montasser, Kevin Stangl:
Certifiable (Multi)Robustness Against Patch Attacks Using ERM. CoRR abs/2303.08944 (2023) - [i13]Han Shao, Avrim Blum, Omar Montasser:
Strategic Classification under Unknown Personalized Manipulation. CoRR abs/2305.16501 (2023) - [i12]Omar Montasser:
Theoretical Foundations of Adversarially Robust Learning. CoRR abs/2306.07723 (2023) - 2022
- [c12]Omar Montasser, Steve Hanneke, Nathan Srebro:
Transductive Robust Learning Guarantees. AISTATS 2022: 11461-11471 - [c11]Avrim Blum, Omar Montasser, Greg Shakhnarovich, Hongyang Zhang:
Boosting Barely Robust Learners: A New Perspective on Adversarial Robustness. NeurIPS 2022 - [c10]Omar Montasser, Steve Hanneke, Nati Srebro:
Adversarially Robust Learning: A Generic Minimax Optimal Learner and Characterization. NeurIPS 2022 - [c9]Han Shao, Omar Montasser, Avrim Blum:
A Theory of PAC Learnability under Transformation Invariances. NeurIPS 2022 - [i11]Avrim Blum, Omar Montasser, Greg Shakhnarovich, Hongyang Zhang:
Boosting Barely Robust Learners: A New Perspective on Adversarial Robustness. CoRR abs/2202.05920 (2022) - [i10]Han Shao, Omar Montasser, Avrim Blum:
A Theory of PAC Learnability under Transformation Invariances. CoRR abs/2202.07552 (2022) - [i9]Omar Montasser, Steve Hanneke, Nathan Srebro:
Adversarially Robust Learning: A Generic Minimax Optimal Learner and Characterization. CoRR abs/2209.07369 (2022) - 2021
- [c8]Omar Montasser, Steve Hanneke, Nathan Srebro:
Adversarially Robust Learning with Unknown Perturbation Sets. COLT 2021: 3452-3482 - [i8]Omar Montasser, Steve Hanneke, Nathan Srebro:
Adversarially Robust Learning with Unknown Perturbation Sets. CoRR abs/2102.02145 (2021) - [i7]Omar Montasser, Steve Hanneke, Nathan Srebro:
Transductive Robust Learning Guarantees. CoRR abs/2110.10602 (2021) - 2020
- [c7]Pritish Kamath, Omar Montasser, Nathan Srebro:
Approximate is Good Enough: Probabilistic Variants of Dimensional and Margin Complexity. COLT 2020: 2236-2262 - [c6]Omar Montasser, Surbhi Goel, Ilias Diakonikolas, Nathan Srebro:
Efficiently Learning Adversarially Robust Halfspaces with Noise. ICML 2020: 7010-7021 - [c5]Shafi Goldwasser, Adam Tauman Kalai, Yael Tauman Kalai, Omar Montasser:
Identifying unpredictable test examples with worst-case guarantees. ITA 2020: 1-14 - [c4]Shafi Goldwasser, Adam Tauman Kalai, Yael Kalai, Omar Montasser:
Beyond Perturbations: Learning Guarantees with Arbitrary Adversarial Test Examples. NeurIPS 2020 - [c3]Omar Montasser, Steve Hanneke, Nati Srebro:
Reducing Adversarially Robust Learning to Non-Robust PAC Learning. NeurIPS 2020 - [i6]Pritish Kamath, Omar Montasser, Nathan Srebro:
Approximate is Good Enough: Probabilistic Variants of Dimensional and Margin Complexity. CoRR abs/2003.04180 (2020) - [i5]Omar Montasser, Surbhi Goel, Ilias Diakonikolas, Nathan Srebro:
Efficiently Learning Adversarially Robust Halfspaces with Noise. CoRR abs/2005.07652 (2020) - [i4]Shafi Goldwasser, Adam Tauman Kalai, Yael Tauman Kalai, Omar Montasser:
Beyond Perturbations: Learning Guarantees with Arbitrary Adversarial Test Examples. CoRR abs/2007.05145 (2020) - [i3]Omar Montasser, Steve Hanneke, Nathan Srebro:
Reducing Adversarially Robust Learning to Non-Robust PAC Learning. CoRR abs/2010.12039 (2020)
2010 – 2019
- 2019
- [c2]Omar Montasser, Steve Hanneke, Nathan Srebro:
VC Classes are Adversarially Robustly Learnable, but Only Improperly. COLT 2019: 2512-2530 - [i2]Omar Montasser, Steve Hanneke, Nathan Srebro:
VC Classes are Adversarially Robustly Learnable, but Only Improperly. CoRR abs/1902.04217 (2019) - 2017
- [c1]Omar Montasser, Daniel Kifer:
Predicting Demographics of High-Resolution Geographies with Geotagged Tweets. AAAI 2017: 1460-1466 - [i1]Omar Montasser, Daniel Kifer:
Predicting Demographics of High-Resolution Geographies with Geotagged Tweets. CoRR abs/1701.06225 (2017)
Coauthor Index
aka: Nati Srebro
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