Behrad Moniri

According to our database, Behrad Moniri authored at least 11 papers between 2021 and 2026.

Collaborative distances:

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

2026

Feature Learning in Linear-Width Two-Layer Networks: Two vs. One Step of Gradient Descent.

Behrad Moniri, Hamed Hassani

CoRR, May, 2026

2025

On The Concurrence of Layer-wise Preconditioning Methods and Provable Feature Learning.

Thomas T. Zhang, Behrad Moniri, Ansh Nagwekar, Faraz Rahman, Anton Xue, Hamed Hassani, Nikolai Matni

CoRR, February, 2025

On the Mechanisms of Weak-to-Strong Generalization: A Theoretical Perspective.

Behrad Moniri, Hamed Hassani

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Evaluating the Performance of Large Language Models via Debates.

Behrad Moniri, Hamed Hassani, Edgar Dobriban

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

Asymptotics of Linear Regression with Linearly Dependent Data.

Behrad Moniri, Hamed Hassani

Proceedings of the 7th Annual Learning for Dynamics & Control Conference, 2025

On The Concurrence of Layer-wise Preconditioning Methods and Provable Feature Learning.

Thomas T. C. K. Zhang, Behrad Moniri, Ansh Nagwekar, Faraz Rahman, Anton Xue, Hamed Hassani, Nikolai Matni

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

Signal-Plus-Noise Decomposition of Nonlinear Spiked Random Matrix Models.

Behrad Moniri, Hamed Hassani

CoRR, 2024

A Theory of Non-Linear Feature Learning with One Gradient Step in Two-Layer Neural Networks.

Behrad Moniri, Donghwan Lee, Hamed Hassani, Edgar Dobriban

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Information-Theoretic Analysis of Minimax Excess Risk.

Hassan Hafez-Kolahi, Behrad Moniri, Shohreh Kasaei

IEEE Trans. Inf. Theory, July, 2023

Demystifying Disagreement-on-the-Line in High Dimensions.

Donghwan Lee, Behrad Moniri, Xinmeng Huang, Edgar Dobriban, Hamed Hassani

Proceedings of the International Conference on Machine Learning, 2023

2021

Rate-Distortion Analysis of Minimum Excess Risk in Bayesian Learning.

Hassan Hafez-Kolahi, Behrad Moniri, Shohreh Kasaei, Mahdieh Soleymani Baghshah

Proceedings of the 38th International Conference on Machine Learning, 2021