A theory of non-linear feature learning with one gradient step in two-layer neural networks B Moniri*, D Lee*, H Hassani, E Dobriban International Conference on Machine Learning (ICML), 2024 | 16 | 2024 |
Rate-distortion analysis of minimum excess risk in bayesian learning H Hafez-Kolahi, B Moniri, S Kasaei, MS Baghshah International Conference on Machine Learning (ICML), 2021 | 11 | 2021 |
Demystifying disagreement-on-the-line in high dimensions D Lee*, B Moniri*, X Huang, E Dobriban, H Hassani International Conference on Machine Learning (ICML), 2023 | 4 | 2023 |
Information-theoretic analysis of minimax excess risk H Hafez-Kolahi*, B Moniri*, S Kasaei IEEE Transactions on Information Theory, 2023 | 4 | 2023 |
Evaluating the performance of large language models via debates B Moniri, H Hassani, E Dobriban arXiv preprint arXiv:2406.11044, 2024 | | 2024 |
Signal-plus-noise decomposition of nonlinear spiked random matrix models B Moniri, H Hassani arXiv preprint arXiv:2405.18274, 2024 | | 2024 |