Behrad Moniri

16 papers A* 4Journal 10Unranked 2
YearRankTypeTitle / Venue / Authors
2025 — conf
Asymptotics of Linear Regression with Linearly Dependent Data.
L4DC
Behrad Moniri, Hamed Hassani
2025 — conf
Evaluating the Performance of Large Language Models via Debates.
NAACL (Findings)
Behrad Moniri, Hamed Hassani, Edgar Dobriban
2025 A* conf
On The Concurrence of Layer-wise Preconditioning Methods and Provable Feature Learning.
ICML
Thomas T. C. K. Zhang, Behrad Moniri, Ansh Nagwekar, Faraz Rahman, Anton Xue, Hamed Hassani, Nikolai Matni
2025 J jnl
On The Concurrence of Layer-wise Preconditioning Methods and Provable Feature Learning.
CoRR
Thomas T. Zhang, Behrad Moniri, Ansh Nagwekar, Faraz Rahman, Anton Xue, Hamed Hassani, Nikolai Matni
2025 J jnl
On the Mechanisms of Weak-to-Strong Generalization: A Theoretical Perspective.
CoRR
Behrad Moniri, Hamed Hassani
2024 A* conf
A Theory of Non-Linear Feature Learning with One Gradient Step in Two-Layer Neural Networks.
ICML
Behrad Moniri, Donghwan Lee, Hamed Hassani, Edgar Dobriban
2024 J jnl
Asymptotics of Linear Regression with Linearly Dependent Data.
CoRR
Behrad Moniri, Hamed Hassani
2024 J jnl
Evaluating the Performance of Large Language Models via Debates.
CoRR
Behrad Moniri, Hamed Hassani, Edgar Dobriban
2024 J jnl
Signal-Plus-Noise Decomposition of Nonlinear Spiked Random Matrix Models.
CoRR
Behrad Moniri, Hamed Hassani
2023 J jnl
A Theory of Non-Linear Feature Learning with One Gradient Step in Two-Layer Neural Networks.
CoRR
Behrad Moniri, Donghwan Lee, Hamed Hassani, Edgar Dobriban
2023 A* conf
Demystifying Disagreement-on-the-Line in High Dimensions.
ICML
Donghwan Lee, Behrad Moniri, Xinmeng Huang, Edgar Dobriban, Hamed Hassani
2023 J jnl
Demystifying Disagreement-on-the-Line in High Dimensions.
CoRR
Donghwan Lee, Behrad Moniri, Xinmeng Huang, Edgar Dobriban, Hamed Hassani
2023 J jnl
Information-Theoretic Analysis of Minimax Excess Risk.
IEEE Trans. Inf. Theory
Hassan Hafez-Kolahi, Behrad Moniri, Shohreh Kasaei
2022 J jnl
Information-Theoretic Analysis of Minimax Excess Risk.
CoRR
Hassan Hafez-Kolahi, Behrad Moniri, Shohreh Kasaei
2021 A* conf
Rate-Distortion Analysis of Minimum Excess Risk in Bayesian Learning.
ICML
Hassan Hafez-Kolahi, Behrad Moniri, Shohreh Kasaei, Mahdieh Soleymani Baghshah
2021 J jnl
Rate-Distortion Analysis of Minimum Excess Risk in Bayesian Learning.
CoRR
Hassan Hafez-Kolahi, Behrad Moniri, Shohreh Kasaei, Mahdieh Soleymani Baghshah