144 citations · 341 across the 27 of their papers we have counts for
4 papers · 1 filter
Using Empirical Covariance Matrix in Enhancing Prediction Accuracy of Linear Models with Missing Information
Ahmadreza Moradipari, Sina Shahsavari, Ashkan Esmaeili +1
Inference and Estimation in Missing Information (MI) scenarios are important topics in Statistical Learning Theory and Machine Learning (ML). In ML literature, attempts have been m…
Interpolation of Sparse Graph Signals by Sequential Adaptive Thresholds
Mahdi Boloursaz Mashhadi, Maryam Fallah, Farokh Marvasti
This paper considers the problem of interpolating signals defined on graphs. A major presumption considered by many previous approaches to this problem has been lowpass/ band-limit…
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…
Sampling and Distortion Tradeoffs for Indirect Source Retrieval
Elaheh Mohammadi, Alireza Fallah, Farokh Marvasti
Consider a continuous signal that cannot be observed directly. Instead, one has access to multiple corrupted versions of the signal. The available corrupted signals are correlated…