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Yue M. Lu
Yue M. Lu
Gordon McKay Professor of Electrical Engineering and of Applied Mathematics, Harvard University
在 seas.harvard.edu 的电子邮件经过验证 - 首页
标题
引用次数
年份
Asymptotic theory of in-context learning by linear attention
YM Lu, MI Letey, JA Zavatone-Veth, A Maiti, C Pehlevan
arXiv preprint arXiv:2405.11751, 2024
32024
Asymptotics of random feature regression beyond the linear scaling regime
H Hu, YM Lu, T Misiakiewicz
arXiv preprint arXiv:2403.08160, 2024
32024
A convergence analysis of approximate message passing with non-separable functions and applications to multi-class classification
B Çakmak, YM Lu, M Opper
arXiv preprint arXiv:2402.08676, 2024
22024
Asymptotics of feature learning in two-layer networks after one gradient-step
H Cui, L Pesce, Y Dandi, F Krzakala, YM Lu, L Zdeborová, B Loureiro
arXiv preprint arXiv:2402.04980, 2024
72024
Precise Learning Curves and Higher-Order Scaling Limits for Dot Product Kernel Regression
L Xiao, H Hu, T Misiakiewicz, YM Lu, J Pennington
Journal of Statistical Mechanics: Theory and Experiment 2023 (11), 114005, 2023
12023
Universality for the global spectrum of random inner-product kernel matrices in the polynomial regime
S Dubova, YM Lu, B McKenna, HT Yau
arXiv preprint arXiv:2310.18280, 2023
32023
Universality of approximate message passing with semirandom matrices
R Dudeja, Y M. Lu, S Sen
The Annals of Probability 51 (5), 1616-1683, 2023
402023
An equivalence principle for the spectrum of random inner-product kernel matrices
YM Lu, HT Yau
Annals of Applied Probability, under minor revision, 2023
242023
Universality laws for high-dimensional learning with random features
H Hu, YM Lu
IEEE Transactions on Information Theory 69 (3), 1932-1964, 2022
1432022
Spectral universality of regularized linear regression with nearly deterministic sensing matrices
R Dudeja, S Sen, YM Lu
arXiv preprint arXiv:2208.02753, 2022
212022
SLOPE for sparse linear regression: asymptotics and optimal regularization
H Hu, YM Lu
IEEE Transactions on Information Theory 68 (11), 7627-7664, 2022
22022
Analysis of random sequential message passing algorithms for approximate inference
B Çakmak, YM Lu, M Opper
Journal of Statistical Mechanics: Theory and Experiment 2022 (7), 073401, 2022
22022
Sharp asymptotics of kernel ridge regression beyond the linear regime
H Hu, YM Lu
arXiv preprint arXiv:2205.06798, 2022
182022
An Equivalence Principle for the Spectrum of Random Inner-Product Kernel Matrices with Polynomial Scalings
YM Lu, HT Yau
arXiv preprint arXiv:2205.06308, 2022
32022
Construction of optimal spectral methods in phase retrieval
A Maillard, F Krzakala, YM Lu, L Zdeborová
Mathematical and Scientific Machine Learning, 693-720, 2022
132022
Householder dice: A matrix-free algorithm for simulating dynamics on Gaussian and random orthogonal ensembles
YM Lu
IEEE Transactions on Information Theory 67 (12), 8264-8272, 2021
112021
On the inherent regularization effects of noise injection during training
O Dhifallah, Y Lu
International Conference on Machine Learning, 2665-2675, 2021
292021
Phase transitions in transfer learning for high-dimensional perceptrons
O Dhifallah, YM Lu
Entropy 23 (4), 400, 2021
192021
The limiting poisson law of massive MIMO detection with box relaxation
H Hu, YM Lu
IEEE Journal on Selected Areas in Information Theory 1 (3), 695-704, 2020
22020
The role of regularization in classification of high-dimensional noisy gaussian mixture
F Mignacco, F Krzakala, Y Lu, P Urbani, L Zdeborova
International conference on machine learning, 6874-6883, 2020
872020
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