| Learning time-scales in two-layers neural networks R Berthier, A Montanari, K Zhou Foundations of Computational Mathematics, 1-84, 2024 | 27 | 2024 |
| Tractability from overparametrization: The example of the negative perceptron A Montanari, Y Zhong, K Zhou Probability Theory and Related Fields 188 (3), 805-910, 2024 | 22 | 2024 |
| Lower bounds for the convergence of tensor power iteration on random overcomplete models Y Wu, K Zhou The Thirty Sixth Annual Conference on Learning Theory, 3783-3820, 2023 | 4 | 2023 |
| Sharp Analysis of Power Iteration for Tensor PCA Y Wu, K Zhou arXiv preprint arXiv:2401.01047, 2024 | 2 | 2024 |
| Overparametrized linear dimensionality reductions: From projection pursuit to two-layer neural networks A Montanari, K Zhou arXiv preprint arXiv:2206.06526, 2022 | 2 | 2022 |
| Discrepancy Algorithms for the Binary Perceptron S Li, T Schramm, K Zhou arXiv preprint arXiv:2408.00796, 2024 | 1 | 2024 |
| High-dimensional projection pursuit: Outer bounds and applications to interpolation in neural networks K Zhou, A Montanari Conference on Learning Theory, 5525-5527, 2022 | 1 | 2022 |
| Variance reduction for causal inference K Zhou, J Jia arXiv preprint arXiv:2109.05150, 2021 | 1 | 2021 |
| Which exceptional low-dimensional projections of a Gaussian point cloud can be found in polynomial time? A Montanari, K Zhou arXiv preprint arXiv:2406.02970, 2024 | | 2024 |
| Dynamic Factor Analysis of High-dimensional Recurrent Events F Chen, Y Chen, Z Ying, K Zhou arXiv preprint arXiv:2405.19803, 2024 | | 2024 |
| Propensity Score Adapted Covariate Selection for Causal Inference K Zhou, J Jia arXiv preprint arXiv:2109.05155, 2021 | | 2021 |
Andrea MontanariProfessor of Statistics and Mathematics, Stanford University在 stanford.edu 的电子邮件经过验证
