Ji Xu
Ji Xu
Verified email at columbia.edu - Homepage
Title
Cited by
Cited by
Year
Two models of double descent for weak features
M Belkin, D Hsu, J Xu
SIAM Journal on Mathematics of Data Science 2 (4), 1167-1180, 2020
1112020
Global analysis of expectation maximization for mixtures of two gaussians
J Xu, D Hsu, A Maleki
arXiv preprint arXiv:1608.07630, 2016
852016
Optimization-Based AMP for Phase Retrieval: The Impact of Initialization and Regularization
J Ma, J Xu, A Maleki
IEEE Transactions on Information Theory 65 (6), 3600-3629, 2019
362019
Benefits of over-parameterization with EM
J Xu, D Hsu, A Maleki
arXiv preprint arXiv:1810.11344, 2018
152018
On the number of variables to use in principal component regression
J Xu, D Hsu
arXiv preprint arXiv:1906.01139, 2019
122019
Consistent risk estimation in high-dimensional linear regression
J Xu, A Maleki, KR Rad
arXiv preprint arXiv:1902.01753, 2019
102019
Approximate message passing for amplitude based optimization
J Ma, J Xu, A Maleki
International Conference on Machine Learning, 3365-3374, 2018
102018
Spectral method for phase retrieval: an expectation propagation perspective
J Ma, R Dudeja, J Xu, A Maleki, X Wang
IEEE Transactions on Information Theory 67 (2), 1332-1355, 2021
72021
On the Optimal Weighted Regularization in Overparameterized Linear Regression
D Wu, J Xu
arXiv preprint arXiv:2006.05800, 2020
72020
How many variables should be entered in a principal component regression equation
J Xu, D Hsu
arXiv preprint arXiv:1906.01139, 2019
62019
When Does Preconditioning Help or Hurt Generalization?
S Amari, J Ba, R Grosse, X Li, A Nitanda, T Suzuki, D Wu, J Xu
arXiv preprint arXiv:2006.10732, 2020
32020
On the proliferation of support vectors in high dimensions
D Hsu, V Muthukumar, J Xu
arXiv preprint arXiv:2009.10670, 2020
22020
A Geometric Approach to Dynamical System: Global Analysis for Non-Convex Optimization
J Xu
Columbia University, 2020
2020
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