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
407 2020 Global analysis of expectation maximization for mixtures of two gaussians J Xu, DJ Hsu, A Maleki
Advances in Neural Information Processing Systems 29, 2016
147 2016 On the Optimal Weighted Regularization in Overparameterized Linear Regression D Wu, J Xu
Advances in Neural Information Processing Systems 33, 10112-10123, 2020
134 2020 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
71 2019 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
37 2020 On the number of variables to use in principal component regression J Xu, DJ Hsu
Advances in neural information processing systems 32, 2019
37 2019 On the proliferation of support vectors in high dimensions D Hsu, V Muthukumar, J Xu
International Conference on Artificial Intelligence and Statistics, 91-99, 2021
36 2021 Benefits of over-parameterization with EM J Xu, DJ Hsu, A Maleki
Advances in Neural Information Processing Systems 31, 2018
32 2018 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
21 2021 Consistent risk estimation in high-dimensional linear regression J Xu, A Maleki, KR Rad, D Hsu
arXiv preprint arXiv:1902.01753 864, 2019
20 2019 Approximate message passing for amplitude based optimization J Ma, J Xu, A Maleki
International Conference on Machine Learning, 3365-3374, 2018
13 2018 Analysis of sensing spectral for signal recovery under a generalized linear model J Ma, J Xu, A Maleki
Advances in Neural Information Processing Systems 34, 22601-22613, 2021
12 2021 Consistent risk estimation in moderately high-dimensional linear regression J Xu, A Maleki, KR Rad, D Hsu
IEEE Transactions on Information Theory 67 (9), 5997-6030, 2021
11 2021 How many variables should be entered in a principal component regression equation J Xu, D Hsu
arXiv preprint arXiv:1906.01139, 2019
8 2019 Impact of the sensing spectrum on signal recovery in generalized linear models J Ma, J Xu, A Maleki
arXiv preprint arXiv:2111.03237, 2021
2 2021 Towards Designing Optimal Sensing Matrices for Generalized Linear Inverse Problems J Ma, J Xu, A Maleki
IEEE Transactions on Information Theory, 2023
2023 A Geometric Approach to Dynamical System: Global Analysis for Non-Convex Optimization J Xu
Columbia University, 2020
2020