Marie Maros

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

A Unified View of Decentralized Algorithms for Sparse Linear Regression.

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[DOI]

Proceedings of the 9th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2023

2022

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

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CoRR, 2022

Acceleration in Distributed Sparse Regression.

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[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

DGD^2: A Linearly Convergent Distributed Algorithm For High-dimensional Statistical Recovery.

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[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

A Geometrically Converging Dual Method for Distributed Optimization Over Time-Varying Graphs.

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[DOI]

IEEE Trans. Autom. Control., 2021

2019

On the Q-Linear Convergence of Distributed Generalized ADMM Under Non-Strongly Convex Function Components.

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IEEE Trans. Signal Inf. Process. over Networks, 2019

Eco-panda: A Computationally Economic, Geometrically Converging Dual Optimization Method on Time-varying Undirected Graphs.

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[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2019

2018

ADMM for Distributed Dynamic Beamforming.

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[DOI]

IEEE Trans. Signal Inf. Process. over Networks, 2018

Dynamic Power Allocation for Smart Grids Via ADMM.

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Proceedings of the 19th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2018

PANDA: A Dual Linearly Converging Method for Distributed Optimization Over Time-Varying Undirected Graphs.

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[DOI]