Ke Wei

Luo Luo

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Policy Mirror Descent with Temporal Difference Learning: Sample Complexity under Online Markov Data.

[BibT_eX]

[DOI]

CoRR, December, 2025

On the Convergence of Policy Mirror Descent with Temporal Difference Evaluation.

[BibT_eX]

[DOI]

Wenye Li

CoRR, September, 2025

On the Convergence of Projected Policy Gradient for Any Constant Step Sizes.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2025

A Near-Optimal Algorithm for Decentralized Convex-Concave Finite-Sum Minimax Optimization.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Phase Retrieval of Spectrally Sparse Signals.

[BibT_eX]

[DOI]

Xianyin Zhang

Proceedings of the IEEE International Symposium on Information Theory, 2025

ϕ-Update: A Class of Policy Update Methods with Policy Convergence Guarantee.

[BibT_eX]

[DOI]

Wenye Li

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Global Convergence of Natural Policy Gradient with Hessian-Aided Momentum Variance Reduction.

[BibT_eX]

[DOI]

Jie Feng

J. Sci. Comput., November, 2024

Decentralized Natural Policy Gradient with Variance Reduction for Collaborative Multi-Agent Reinforcement Learning.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2024

Leave-One-Out Analysis for Nonconvex Robust Matrix Completion with General Thresholding Functions.

[BibT_eX]

[DOI]

Tianming Wang

CoRR, 2024

Elementary Analysis of Policy Gradient Methods.

[BibT_eX]

[DOI]

Wenye Li

CoRR, 2024

2023

Implicit Regularization and Entrywise Convergence of Riemannian Optimization for Low Tucker-Rank Tensor Completion.

[BibT_eX]

[DOI]

Haifeng Wang

J. Mach. Learn. Res., 2023

On the Linear Convergence of Policy Gradient under Hadamard Parameterization.

[BibT_eX]

[DOI]

CoRR, 2023

2022

Vectorized Hankel Lift: A Convex Approach for Blind Super-Resolution of Point Sources.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2022

Approximation Theory of Total Variation Minimization for Data Completion.

[BibT_eX]

[DOI]

Jae Kyu Choi

CoRR, 2022

2021

Fast Cadzow's Algorithm and a Gradient Variant.

[BibT_eX]

[DOI]

J. Sci. Comput., 2021

Is Attention Better Than Matrix Decomposition?

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Toward the Optimal Construction of a Loss Function Without Spurious Local Minima for Solving Quadratic Equations.

[BibT_eX]

[DOI]

Zhenzhen Li

IEEE Trans. Inf. Theory, 2020

Data Driven Tight Frame for Compressed Sensing MRI Reconstruction via Off-the-Grid Regularization.

[BibT_eX]

[DOI]

Jae Kyu Choi

SIAM J. Imaging Sci., 2020

Image Restoration: Structured Low Rank Matrix Framework for Piecewise Smooth Functions and Beyond.

[BibT_eX]

[DOI]

CoRR, 2020

2019

Accelerated Alternating Projections for Robust Principal Component Analysis.

[BibT_eX]

[DOI]

HanQin Cai

J. Mach. Learn. Res., 2019

Off-the-Grid Compressed Sensing MRI Reconstruction via Data Driven Tight Frame Regularization.

[BibT_eX]

[DOI]

Jae Kyu Choi

CoRR, 2019

Exact matrix completion based on low rank Hankel structure in the Fourier domain.

[BibT_eX]

[DOI]

Weiguo Gao

CoRR, 2019

2018

Spectral Compressed Sensing via Projected Gradient Descent.

[BibT_eX]

[DOI]

Tianming Wang

SIAM J. Optim., 2018

Towards the optimal construction of a loss function without spurious local minima for solving quadratic equations.

[BibT_eX]

[DOI]

Zhenzhen Li

CoRR, 2018

Exploiting the structure effectively and efficiently in low rank matrix recovery.

[BibT_eX]

[DOI]

CoRR, 2018

2017

A Fast Algorithm for the Convolution of Functions with Compact Support Using Fourier Extensions.

[BibT_eX]

[DOI]

Kuan Xu

Anthony P. Austin

SIAM J. Sci. Comput., 2017

New region force for variational models in image segmentation and high dimensional data clustering.

[BibT_eX]

[DOI]

CoRR, 2017

2016

Guarantees of Riemannian Optimization for Low Rank Matrix Recovery.

[BibT_eX]

[DOI]

SIAM J. Matrix Anal. Appl., 2016

Fast and Provable Algorithms for Spectrally Sparse Signal Reconstruction via Low-Rank Hankel Matrix Completion.

[BibT_eX]

[DOI]

Tianming Wang

CoRR, 2016

2015

Conjugate Gradient Iterative Hard Thresholding: Observed Noise Stability for Compressed Sensing.

[BibT_eX]

[DOI]

Jeffrey D. Blanchard

Jared Tanner

IEEE Trans. Signal Process., 2015

Fast Iterative Hard Thresholding for Compressed Sensing.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2015

2013

Normalized Iterative Hard Thresholding for Matrix Completion.

[BibT_eX]

[DOI]

Jared Tanner

SIAM J. Sci. Comput., 2013

Matrix completion algorithms with optimal phase transition.

[BibT_eX]

[DOI]

Jared Tanner