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20162022
most citedA Novel Approach to Quantized Matrix Completion Using Huber Loss Measure

39 citations · 61 across the 12 of their papers we have counts for

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cs.LG2021

Two-way Spectrum Pursuit for CUR Decomposition and Its Application in Joint Column/Row Subset Selection

Ashkan Esmaeili, Mohsen Joneidi, Mehrdad Salimitari +2

The problem of simultaneous column and row subset selection is addressed in this paper. The column space and row space of a matrix are spanned by its left and right singular vector…

cs.LG2018★ 1 cited

A Novel Approach to Sparse Inverse Covariance Estimation Using Transform Domain Updates and Exponentially Adaptive Thresholding

Ashkan Esmaeili, Farokh Marvasti

Sparse Inverse Covariance Estimation (SICE) is useful in many practical data analyses. Recovering the connectivity, non-connectivity graph of covariates is classified amongst the m…

cs.LG2018★ 4 cited

Transduction with Matrix Completion Using Smoothed Rank Function

Ashkan Esmaeili, Kayhan Behdin, Mohammad Amin Fakharian +1

In this paper, we propose two new algorithms for transduction with Matrix Completion (MC) problem. The joint MC and prediction tasks are addressed simultaneously to enhance the acc…

cs.LG2016

Comparison of Several Sparse Recovery Methods for Low Rank Matrices with Random Samples

Ashkan Esmaeili, Farokh Marvasti

In this paper, we will investigate the efficacy of IMAT (Iterative Method of Adaptive Thresholding) in recovering the sparse signal (parameters) for linear models with missing data…

cs.LG2016

Fast Methods for Recovering Sparse Parameters in Linear Low Rank Models

Ashkan Esmaeili, Arash Amini, Farokh Marvasti

In this paper, we investigate the recovery of a sparse weight vector (parameters vector) from a set of noisy linear combinations. However, only partial information about the matrix…