Ji Xu

According to our database, Ji Xu authored at least 16 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Toward Designing Optimal Sensing Matrices for Generalized Linear Inverse Problems.

Junjie Ma, Ji Xu, Arian Maleki

IEEE Trans. Inf. Theory, January, 2024

2021

Consistent Risk Estimation in Moderately High-Dimensional Linear Regression.

Ji Xu, Arian Maleki, Kamiar Rahnama Rad, Daniel Hsu

IEEE Trans. Inf. Theory, 2021

Spectral Method for Phase Retrieval: An Expectation Propagation Perspective.

Junjie Ma, Rishabh Dudeja, Ji Xu, Arian Maleki, Xiaodong Wang

IEEE Trans. Inf. Theory, 2021

Impact of the Sensing Spectrum on Signal Recovery in Generalized Linear Models.

Junjie Ma, Ji Xu, Arian Maleki

CoRR, 2021

Analysis of Sensing Spectral for Signal Recovery under a Generalized Linear Model.

Junjie Ma, Ji Xu, Arian Maleki

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

On the proliferation of support vectors in high dimensions.

Daniel Hsu, Vidya Muthukumar, Ji Xu

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

A Geometric Approach to Dynamical System: Global Analysis for Non-Convex Optimization.

Ji Xu

PhD thesis, 2020

Two Models of Double Descent for Weak Features.

Mikhail Belkin, Daniel Hsu, Ji Xu

SIAM J. Math. Data Sci., 2020

2019

Optimization-Based AMP for Phase Retrieval: The Impact of Initialization and $\ell_{2}$ Regularization.

Junjie Ma, Ji Xu, Arian Maleki

IEEE Trans. Inf. Theory, 2019

How many variables should be entered in a principal component regression equation?

Ji Xu, Daniel Hsu

CoRR, 2019

Consistent Risk Estimation in High-Dimensional Linear Regression.

Ji Xu, Arian Maleki, Kamiar Rahnama Rad

CoRR, 2019

On the number of variables to use in principal component regression.

Ji Xu, Daniel J. Hsu

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

Optimization-based AMP for Phase Retrieval: The Impact of Initialization and 𝓁₂-regularization.

Junjie Ma, Ji Xu, Arian Maleki

CoRR, 2018

Benefits of over-parameterization with EM.

Ji Xu, Daniel J. Hsu, Arian Maleki

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Approximate message passing for amplitude based optimization.

Junjie Ma, Ji Xu, Arian Maleki

Proceedings of the 35th International Conference on Machine Learning, 2018

2016

Global Analysis of Expectation Maximization for Mixtures of Two Gaussians.

Ji Xu, Daniel J. Hsu, Arian Maleki

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016