Seyed Amir Hossein Saberi

According to our database, Seyed Amir Hossein Saberi authored at least 6 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Gradual Domain Adaptation via Manifold-Constrained Distributionally Robust Optimization.

Amir Hossein Saberi, Amir Najafi, Ala Emrani, Amin Behjati, Yasaman Zolfimoselo, Mahdi Shadrooy, Abolfazl S. Motahari, Babak H. Khalaj

CoRR, 2024

Out-Of-Domain Unlabeled Data Improves Generalization.

Seyed Amir Hossein Saberi, Amir Najafi, Alireza Heidari, Mohammad Hosein Movasaghinia, Abolfazl S. Motahari, Babak H. Khalaj

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Unlabeled Out-Of-Domain Data Improves Generalization.

Amir Hossein Saberi, Amir Najafi, Alireza Heidari, Mohammad Hosein Movasaghinia, Abolfazl S. Motahari, Babak H. Khalaj

CoRR, 2023

Sample Complexity Bounds for Learning High-dimensional Simplices in Noisy Regimes.

Seyed Amir Hossein Saberi, Amir Najafi, Abolfazl S. Motahari, Babak H. Khalaj

Proceedings of the International Conference on Machine Learning, 2023

2022

Sample Complexity Bounds for Learning High-dimensional Simplices in Noisy Regimes.

Amir Hossein Saberi, Amir Najafi, Seyed Abolfazl Motahari, Babak H. Khalaj

CoRR, 2022

2018

On Statistical Learning of Simplices: Unmixing Problem Revisited.

Amir Najafi, Saeed Ilchi, Amir H. Saberi, Abolfazl S. Motahari, Babak H. Khalaj, Hamid R. Rabiee

CoRR, 2018