Ying Sun

Amir Daneshmand

SIAM J. Optim., 2022

Tackling Data Heterogeneity: A New Unified Framework for Decentralized SGD with Sample-induced Topology.

[BibT_eX]

[DOI]

CoRR, 2022

High-Dimensional Inference over Networks: Linear Convergence and Statistical Guarantees.

[BibT_eX]

[DOI]

CoRR, 2022

Tackling Data Heterogeneity: A New Unified Framework for Decentralized SGD with Sample-induced Topology.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

2021

Distributed Algorithms for Composite Optimization: Unified Framework and Convergence Analysis.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2021

Majorization-Minimization on the Stiefel Manifold With Application to Robust Sparse PCA.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2021

Distributed Big-Data Optimization via Blockwise Gradient Tracking.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2021

Distributed Sparse Regression via Penalization.

[BibT_eX]

[DOI]

CoRR, 2021

2020

Achieving Linear Convergence in Distributed Asynchronous Multiagent Optimization.

[BibT_eX]

[DOI]

Ye Tian

IEEE Trans. Autom. Control., 2020

Robust and Secure Wireless Communications via Intelligent Reflecting Surfaces.

[BibT_eX]

[DOI]

IEEE J. Sel. Areas Commun., 2020

Distributed Algorithms for Composite Optimization: Unified and Tight Convergence Analysis.

[BibT_eX]

[DOI]

CoRR, 2020

A Unified Algorithmic Framework for Distributed Composite Optimization.

[BibT_eX]

[DOI]

Proceedings of the 59th IEEE Conference on Decision and Control, 2020

Accelerated Primal-Dual Algorithms for Distributed Smooth Convex Optimization over Networks.

[BibT_eX]

[DOI]

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Distributed nonconvex constrained optimization over time-varying digraphs.

[BibT_eX]

[DOI]

Math. Program., 2019

Decentralized Dictionary Learning Over Time-Varying Digraphs.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2019

Convergence Rate of Distributed Optimization Algorithms Based on Gradient Tracking.

[BibT_eX]

[DOI]

Amir Daneshmand

CoRR, 2019

A Unified Contraction Analysis of a Class of Distributed Algorithms for Composite Optimization.

[BibT_eX]

[DOI]

Proceedings of the 8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2019

2018

Distributed Big-Data Optimization via Block-wise Gradient Tracking.

[BibT_eX]

[DOI]

CoRR, 2018

Parallel and Distributed Successive Convex Approximation Methods for Big-Data Optimization.

[BibT_eX]

[DOI]

CoRR, 2018

ASY-SONATA: Achieving Geometric Convergence for Distributed Asynchronous Optimization.

[BibT_eX]

[DOI]

CoRR, 2018

ASY-SONATA: Achieving Linear Convergence in Distributed Asynchronous Multiagent Optimization.

[BibT_eX]

[DOI]

Ye Tian

Proceedings of the 56th Annual Allerton Conference on Communication, 2018

2017

Majorization-Minimization Algorithms in Signal Processing, Communications, and Machine Learning.

[BibT_eX]

[DOI]

Daniel P. Palomar

IEEE Trans. Signal Process., 2017

Distributed nonconvex optimization for sparse representation.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

D2L: Decentralized dictionary learning over dynamic networks.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Distributed big-data optimization via block-iterative convexification and averaging.

[BibT_eX]

[DOI]

Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

Distributed big-data optimization via block communications.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2017

2016

Robust Estimation of Structured Covariance Matrix for Heavy-Tailed Elliptical Distributions.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2016

Low-Complexity Algorithms for Low Rank Clutter Parameters Estimation in Radar Systems.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2016

Orthogonal Sparse PCA and Covariance Estimation via Procrustes Reformulation.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2016

A robust signal subspace estimator.

[BibT_eX]

[DOI]

Proceedings of the IEEE Statistical Signal Processing Workshop, 2016

Orthogonal sparse eigenvectors: A procrustes problem.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Block majorization-minimization algorithms for low-rank clutter subspace estimation.

[BibT_eX]

[DOI]

Proceedings of the 24th European Signal Processing Conference, 2016

Distributed nonconvex multiagent optimization over time-varying networks.

[BibT_eX]

[DOI]

Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016

Robust rank constrained kronecker covariance matrix estimation.

[BibT_eX]

[DOI]

Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016

2015

Regularized Robust Estimation of Mean and Covariance Matrix Under Heavy-Tailed Distributions.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2015

Robust estimation of structured covariance matrix for heavy-tailed distributions.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

2014

Regularized Tyler's Scatter Estimator: Existence, Uniqueness, and Algorithms.

[BibT_eX]

[DOI]

Daniel P. Palomar

IEEE Trans. Signal Process., 2014

Regularized robust estimation of mean and covariance matrix under heavy tails and outliers.

[BibT_eX]

[DOI]