1 citations · 2 across the 5 of their papers we have counts for
6 papers
Exponential tail bounds and Large Deviation Principle for Heavy-Tailed U-Statistics
Milad Bakhshizadeh
We study deviation of U-statistics when samples have heavy-tailed distribution so the kernel of the U-statistic does not have bounded exponential moments at any positive point. We…
A practical algorithm to calculate Cap Discrepancy
Milad Bakhshizadeh, Ali Kamalinejad, Mina Latifi
Uniform distribution of the points has been of interest to researchers for a long time and has applications in different areas of Mathematics and Computer Science. One of the well-…
Universality of Linearized Message Passing for Phase Retrieval with Structured Sensing Matrices
Rishabh Dudeja, Milad Bakhshizadeh
In the phase retrieval problem one seeks to recover an unknown dimensional signal vector from measurements of the form , whe…
Sharp Concentration Results for Heavy-Tailed Distributions
Milad Bakhshizadeh, Arian Maleki, Victor H. de la Pena
We obtain concentration and large deviation for the sums of independent and identically distributed random variables with heavy-tailed distributions. Our concentration results are…
Analysis of Spectral Methods for Phase Retrieval with Random Orthogonal Matrices
Rishabh Dudeja, Milad Bakhshizadeh, Junjie Ma +1
Phase retrieval refers to algorithmic methods for recovering a signal from its phaseless measurements. Local search algorithms that work directly on the non-convex formulation of t…
Using Black-box Compression Algorithms for Phase Retrieval
Milad Bakhshizadeh, Arian Maleki, Shirin Jalali
Compressive phase retrieval refers to the problem of recovering a structured -dimensional complex-valued vector from its phase-less under-determined linear measurements. The non…