
Mismatched Data Detection in Massive MUMIMO
We investigate mismatched data detection for massive multiuser (MU) mul...
read it

Sharp Concentration Results for HeavyTailed Distributions
We obtain concentration and large deviation for the sums of independent ...
read it

Error bounds in estimating the outofsample prediction error using leaveoneout cross validation in highdimensions
We study the problem of outofsample risk estimation in the high dimens...
read it

Information Theoretic Limits for Phase Retrieval with Subsampled Haar Sensing Matrices
We study information theoretic limits of recovering an unknown n dimensi...
read it

Does SLOPE outperform bridge regression?
A recently proposed SLOPE estimator (arXiv:1407.3824) has been shown to ...
read it

Rigorous Analysis of Spectral Methods for Random Orthogonal Matrices
Phase retrieval refers to algorithmic methods for recovering a signal fr...
read it

Spectral Method for Phase Retrieval: an Expectation Propagation Perspective
Phase retrieval refers to the problem of recovering a signal x_∈C^n from...
read it

Consistent Risk Estimation in HighDimensional Linear Regression
Risk estimation is at the core of many learning systems. The importance ...
read it

Minimax Linear Estimation of the Retargeted Mean
Weighting methods that adjust for observed covariates, such as inverse p...
read it

Optimal Data Detection in Large MIMO
Large multipleinput multipleoutput (MIMO) appears in massive multiuse...
read it

Benefits of overparameterization with EM
Expectation Maximization (EM) is among the most popular algorithms for m...
read it

Approximate LeaveOneOut for HighDimensional NonDifferentiable Learning Problems
Consider the following class of learning schemes: β̂ := β∈C ∑_j=1^n ℓ(x_...
read it

Approximate LeaveOneOut for Fast Parameter Tuning in High Dimensions
Consider the following class of learning schemes: β̂ := _β ∑_j=1^n ℓ(x_j...
read it

Approximate Message Passing for Amplitude Based Optimization
We consider an ℓ_2regularized nonconvex optimization problem for recov...
read it

A scalable estimate of the extrasample prediction error via approximate leaveoneout
We propose a scalable closedform formula (ALO_λ) to estimate the extra...
read it

Optimizationbased AMP for Phase Retrieval: The Impact of Initialization and ℓ_2regularization
We consider an ℓ_2regularized nonconvex optimization problem for recov...
read it

Compressive Phase Retrieval of Structured Signal
Compressive phase retrieval is the problem of recovering a structured ve...
read it

VLSI Design of a Nonparametric Equalizer for Massive MUMIMO
Linear minimum meansquare error (LMMSE) equalization is among the most...
read it

Global analysis of Expectation Maximization for mixtures of two Gaussians
Expectation Maximization (EM) is among the most popular algorithms for e...
read it

Consistent Parameter Estimation for LASSO and Approximate Message Passing
We consider the problem of recovering a vector β_o ∈R^p from n random an...
read it

Asymptotic Analysis of LASSOs Solution Path with Implications for Approximate Message Passing
This paper concerns the performance of the LASSO (also knows as basis pu...
read it

Iterative Thresholding Algorithm for Sparse Inverse Covariance Estimation
The L1regularized maximum likelihood estimation problem has recently be...
read it

Suboptimality of Nonlocal Means for Images with Sharp Edges
We conduct an asymptotic risk analysis of the nonlocal means image denoi...
read it
Arian Maleki
is this you? claim profile