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pro vyhledávání: '"Bakhshizadeh, Milad"'
Autor:
Bakhshizadeh, Milad
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 obtain an exponential upper bound for the tail of the U-statistics whi
Externí odkaz:
http://arxiv.org/abs/2301.11563
Autor:
Bakhshizadeh, Milad
The main focus of this thesis is on the phase retrieval problem. This problem has a broad range of applications in advanced imaging systems, such as X-ray crystallography, coherent diffraction imaging, and astrophotography. Thanks to its broad applic
Autor:
Bakhshizadeh, Milad, Ayaseh, Ali, Hamishehkar, Hamed, Samadi Kafil, Hossein, Niknazar Moghaddam, Tina, Baghban Haghi, Parya, Tavassoli, Milad, Amjadi, Sajed, Lorenzo, Jose Manuel
Publikováno v:
In Food Control December 2023 154
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-known measures to evaluate the uniformity of a given distribution is D
Externí odkaz:
http://arxiv.org/abs/2010.10454
Autor:
Dudeja, Rishabh, Bakhshizadeh, Milad
In the phase retrieval problem one seeks to recover an unknown $n$ dimensional signal vector $\mathbf{x}$ from $m$ measurements of the form $y_i = |(\mathbf{A} \mathbf{x})_i|$, where $\mathbf{A}$ denotes the sensing matrix. Many algorithms for this p
Externí odkaz:
http://arxiv.org/abs/2008.10503
We obtain concentration and large deviation for the sums of independent and identically distributed random variables with heavy-tailed distributions. Our concentration results are concerned with random variables whose distributions satisfy $\mathbb{P
Externí odkaz:
http://arxiv.org/abs/2003.13819
Autor:
Tavassoli, Milad, Khezerlou, Arezou, Moghaddam, Tina Niknazar, Firoozy, Solmaz, Bakhshizadeh, Milad, Sani, Mahmood Alizadeh, Hashemi, Mohammad, Ehsani, Ali, Lorenzo, Jose Manuel
Publikováno v:
In International Journal of Biological Macromolecules 1 July 2023 242 Part 3
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 the problem have been very popular recently. Due to the nonconvexity of
Externí odkaz:
http://arxiv.org/abs/1903.02676
Compressive phase retrieval refers to the problem of recovering a structured $n$-dimensional complex-valued vector from its phase-less under-determined linear measurements. The non-linearity of measurements makes designing theoretically-analyzable ef
Externí odkaz:
http://arxiv.org/abs/1712.03278
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