Yue M. Lu
Harvard University
H-index: 38
North America-United States
Top articles of Yue M. Lu
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
A convergence analysis of approximate message passing with non-separable functions and applications to multi-class classification | arXiv preprint arXiv:2402.08676 | Burak Çakmak Yue M Lu Manfred Opper | 2024/2/13 |
Asymptotics of feature learning in two-layer networks after one gradient-step | arXiv preprint arXiv:2402.04980 | Hugo Cui Luca Pesce Yatin Dandi Florent Krzakala Yue M Lu | 2024/2/7 |
Universality for the global spectrum of random inner-product kernel matrices in the polynomial regime | arXiv preprint arXiv:2310.18280 | Sofiia Dubova Yue M Lu Benjamin McKenna Horng-Tzer Yau | 2023/10/27 |
Universality of approximate message passing with semirandom matrices | The Annals of Probability | Rishabh Dudeja Yue M. Lu Subhabrata Sen | 2023/9 |
Sharp asymptotics of kernel ridge regression beyond the linear regime | arXiv preprint arXiv:2205.06798 | Hong Hu Yue M Lu | 2022/5/13 |
Construction of optimal spectral methods in phase retrieval | Antoine Maillard Florent Krzakala Yue M Lu Lenka Zdeborová | 2022/4/30 | |
Universality laws for high-dimensional learning with random features | IEEE Transactions on Information Theory | Hong Hu Yue M Lu | 2022/10/26 |
An equivalence principle for the spectrum of random inner-product kernel matrices | Yue M Lu Horng-Tzer Yau | 2022 | |
Spectral universality of regularized linear regression with nearly deterministic sensing matrices | arXiv preprint arXiv:2208.02753 | Rishabh Dudeja Subhabrata Sen Yue M Lu | 2022/8/4 |
SLOPE for sparse linear regression: asymptotics and optimal regularization | IEEE Transactions on Information Theory | Hong Hu Yue M Lu | 2022/7/8 |
Analysis of random sequential message passing algorithms for approximate inference | Journal of Statistical Mechanics: Theory and Experiment | Burak Çakmak Yue M Lu Manfred Opper | 2022/7/5 |
Phase transitions in transfer learning for high-dimensional perceptrons | Entropy | Oussama Dhifallah Yue M Lu | 2021/3/27 |
Householder dice: A matrix-free algorithm for simulating dynamics on Gaussian and random orthogonal ensembles | IEEE Transactions on Information Theory | Yue M Lu | 2021/9/20 |
On the inherent regularization effects of noise injection during training | Oussama Dhifallah Yue Lu | 2021/7/1 | |
Generalization error in high-dimensional perceptrons: Approaching bayes error with convex optimization | Advances in Neural Information Processing Systems | Benjamin Aubin Florent Krzakala Yue Lu Lenka Zdeborová | 2020 |
The limiting poisson law of massive MIMO detection with box relaxation | IEEE Journal on Selected Areas in Information Theory | Hong Hu Yue M Lu | 2020/11/24 |
The role of regularization in classification of high-dimensional noisy gaussian mixture | Francesca Mignacco Florent Krzakala Yue Lu Pierfrancesco Urbani Lenka Zdeborova | 2020/11/21 | |
Phase transitions of spectral initialization for high-dimensional non-convex estimation | Information and Inference: A Journal of the IMA | Yue M Lu Gen Li | 2020/9 |
A precise performance analysis of learning with random features | arXiv preprint arXiv:2008.11904 | Oussama Dhifallah Yue M Lu | 2020/8/27 |
Co-Authors
