Moniri, Behrad

7 publications

L4DC 2025 Asymptotics of Linear Regression with Linearly Dependent Data Behrad Moniri, Hamed Hassani

ICML 2025 On the Concurrence of Layer-Wise Preconditioning Methods and Provable Feature Learning Thomas Tck Zhang, Behrad Moniri, Ansh Nagwekar, Faraz Rahman, Anton Xue, Hamed Hassani, Nikolai Matni

NeurIPS 2025 On the Mechanisms of Weak-to-Strong Generalization: A Theoretical Perspective Behrad Moniri, Hamed Hassani

ICML 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

NeurIPSW 2023 A Theory of Non-Linear Feature Learning with One Gradient Step in Two-Layer Neural Networks Behrad Moniri, Donghwan Lee, Hamed Hassani, Edgar Dobriban

ICML 2023 Demystifying Disagreement-on-the-Line in High Dimensions Donghwan Lee, Behrad Moniri, Xinmeng Huang, Edgar Dobriban, Hamed Hassani

ICML 2021 Rate-Distortion Analysis of Minimum Excess Risk in Bayesian Learning Hassan Hafez-Kolahi, Behrad Moniri, Shohreh Kasaei, Mahdieh Soleymani Baghshah