Publication List

Pre-prints

• Decentralized algorithms for sparse high-dimensional M-estimation, M. Maros, G. Scutari, submitted to JMLR
  

• High-dimensional inference over networks: Linear convergence and statistical guarantees, Y. Sun, M. Maros, G. Scutari and G. Cheng, submitted to JMLR
  

Publications

• Decentralized Matrix Sensing: Statistical Guarantees and Fast Convergence, M. Maros, and G. Scutari, accepted to NeurIPS 2023.

• A unified view of decentralized algorithms for sparse linear regression, M. Maros, and G. Scutari, accepted to CAMSAP 2023.

• DGD2: A linearly convergent distributed algorithm for high dimensional statistical recovery, M. Maros, and G. Scutari, Neurips 2022.

• Acceleration in Distributed Sparse Regression, M. Maros and G. Scutari, NeurIPS 2022.

• A geometrically converging dual method for distributed on time varying graphs, M. Maros and J. Jalden, IEEE Trans. On Automatic Control, 2020.

• On the Q linear convergence of distributed generalized ADMM under non strongly convex function components, M. Maros and J. Jalden, IEEE. Trans. On Signal and Information Processing over Networks, 2019.

• ECO-PANDA: A computationally economic, geometrically converging dual optimization method on time-varying undirected graphs, M. Maros and J. Jalden, IEEE ICASSP 2019.

• A dual linearly converging method for distributed optimization over time-varying undirected graphs,M. Maros and J. Jalden, IEEE CDC 2018.

• ADMM for distributed dynamic beamforming, M. Maros and J. Jalden, IEEE Trans. On Signal and Information Processing over Networks, 2018.

• Dynamic Power Allocation for Smart Grids via ADMM, M. Maros and J. Jalden, IEEE SPAWC 2018.