On Statistical Learning of Simplices: Unmixing Problem Revisited. - Amir Najafi 002; Saeed Ilchi; Amir H. Saberi; Abolfazl S. Motahari; Babak H. Khalaj; Hamid R. Rabiee (CoRR, 2018)

Sample Complexity Bounds for Learning High-dimensional Simplices in Noisy Regimes. - Amir Hossein Saberi; Amir Najafi 002; Seyed Abolfazl Motahari; Babak H. Khalaj (CoRR, 2022)

Sample Complexity Bounds for Learning High-dimensional Simplices in Noisy Regimes. - Seyed Amir Hossein Saberi; Amir Najafi 003; Abolfazl S. Motahari; Babak H. Khalaj (ICML, 2023)

Unlabeled Out-Of-Domain Data Improves Generalization. - Amir Hossein Saberi; Amir Najafi 003; Alireza Heidari; Mohammad Hosein Movasaghinia; Abolfazl S. Motahari; Babak H. Khalaj (CoRR, 2023)

Out-Of-Domain Unlabeled Data Improves Generalization. - Seyed Amir Hossein Saberi; Amir Najafi 002; Alireza Heidari; Mohammad Hosein Movasaghinia; Abolfazl S. Motahari; Babak H. Khalaj (ICLR, 2024)

Gradual Domain Adaptation via Manifold-Constrained Distributionally Robust Optimization. - Amir Hossein Saberi; Amir Najafi 002; Ala Emrani; Amin Behjati; Yasaman Zolfimoselo; Mahdi Shadrooy; Abolfazl S. Motahari; Babak H. Khalaj (CoRR, 2024)

Fundamental Limits of Learning High-dimensional Simplices in Noisy Regimes. - Seyed Amir Hossein Saberi; Amir Najafi 002; Abolfazl S. Motahari; Babak Hossein Khalaj (CoRR, 2025)