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

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

Information-Theoretic Analysis of Minimax Excess Risk. - Hassan Hafez-Kolahi; Behrad Moniri; Shohreh Kasaei (IEEE Trans. Inf. Theory, 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, 2024)

Signal-Plus-Noise Decomposition of Nonlinear Spiked Random Matrix Models. - Behrad Moniri; Hamed Hassani (CoRR, 2024)

Asymptotics of Linear Regression with Linearly Dependent Data. - Behrad Moniri; Hamed Hassani (L4DC, 2025)

Evaluating the Performance of Large Language Models via Debates. - Behrad Moniri; Hamed Hassani; Edgar Dobriban (NAACL (Findings), 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, 2025)

On the Mechanisms of Weak-to-Strong Generalization: A Theoretical Perspective. - Behrad Moniri; Hamed Hassani (CoRR, 2025)