32 citations · 39 across the 6 of their papers we have counts for
6 papers
Structure-Adaptive, Variance-Reduced, and Accelerated Stochastic Optimization
Junqi Tang, Francis Bach, Mohammad Golbabaee +1
In this work we explore the fundamental structure-adaptiveness of state of the art randomized first order algorithms on regularized empirical risk minimization tasks, where the sol…
Exploiting the Structure via Sketched Gradient Algorithms
Junqi Tang, Mohammad Golbabaee, Mike Davies
Sketched gradient algorithms have been recently introduced for efficiently solving the large-scale constrained Least-squares regressions. In this paper we provide novel convergence…
Inexact Gradient Projection and Fast Data Driven Compressed Sensing
Mohammad Golbabaee, Mike E. Davies
We study convergence of the iterative projected gradient (IPG) algorithm for arbitrary (possibly nonconvex) sets and when both the gradient and projection oracles are computed appr…
Insense: Incoherent Sensor Selection for Sparse Signals
Amirali Aghazadeh, Mohammad Golbabaee, Andrew S. Lan +1
Sensor selection refers to the problem of intelligently selecting a small subset of a collection of available sensors to reduce the sensing cost while preserving signal acquisition…
Compressed Sensing of Simultaneous Low-Rank and Joint-Sparse Matrices
Mohammad Golbabaee, Pierre Vandergheynst
In this paper we consider the problem of recovering a high dimensional data matrix from a set of incomplete and noisy linear measurements. We introduce a new model that can efficie…
Structured Sparsity Models for Multiparty Speech Recovery from Reverberant Recordings
Afsaneh Asaei, Mohammad Golbabaee, Hervé Bourlard +1
We tackle the multi-party speech recovery problem through modeling the acoustic of the reverberant chambers. Our approach exploits structured sparsity models to perform room modeli…