Montasser, Omar
- VC Classes are Adversarially Robustly Learnable, but Only Improperly
2019/02/12 by Montasser, Omar, Hanneke, Steve, Srebro, Nathan · 3 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Approximate is Good Enough: Probabilistic Variants of Dimensional and Margin Complexity
2020/03/09 by Kamath, Pritish, Montasser, Omar, Srebro, Nathan · 2 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Beyond Perturbations: Learning Guarantees with Arbitrary Adversarial Test Examples
2020/07/10 by Shafi Goldwasser, Goldwasser, Shafi, Adam Tauman Kalai +5 · 2 citations
Computer Science · #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Machine Learning and Data Classification
- A Theory of PAC Learnability under Transformation Invariances
2022/02/15 by Omar Montasser, Shao, Han, Avrim Blum +2 · 2 citations
Computer Science · #Algorithms and Data Compression #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms #Machine Learning and Data Classification
- (Im)possibility of Automated Hallucination Detection in Large Language Models
2025/04/23 by Amin Karbasi, Omar Montasser, Karbasi, Amin +5 · 4 citations
Computer Science · #Machine Learning in Healthcare
- Transformation-Invariant Learning and Theoretical Guarantees for OOD Generalization
2024/10/30 by Omar Montasser, Montasser, Omar, Emmanuel Abbé +2 · 2 citations
Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural Networks and Applications
- Strategic Classification under Unknown Personalized Manipulation
2023/05/25 by Avrim Blum, Shao, Han, Blum, Avrim +2 · 1 citation
Decision Sciences · #Auction Theory and Applications
- Agnostic Multi-Robust Learning Using ERM
2023/03/15 by Ahmadi, Saba, Blum, Avrim, Montasser, Omar +1 · 1 citation
#Computer Vision and Pattern Recognition (cs.CV) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Derandomizing Multi-Distribution Learning
2024/09/26 by Larsen, Kasper Green, Montasser, Omar, Zhivotovskiy, Nikita · 1 citation
#Computational Complexity (cs.CC) #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Statistics Theory (math.ST)