3 papers
math.PR2026
LDP for Tensor Forms
Reihaneh Malekian, Sohom Bhattacharya, Nabarun Deb +1
In this paper, we study the large deviation principle (LDP) for a tensor-weighted functional of i.i.d. random variables, when the sequence of tensors converges under a variant of t…
math.ST2024
Is speckle noise more challenging to mitigate than additive noise?
Reihaneh Malekian, Hao Xing, Arian Maleki
We study the problem of estimating a function in the presence of both speckle and additive noises, commonly referred to as the de-speckling problem. Although additive noise has bee…
math.PR2024
Matrix Concentration: Order versus Anti-order
Reihaneh Malekian, Aaditya Ramdas
The matrix Markov inequality by Ahlswede was stated using the Loewner anti-order between positive definite matrices. Wang use this to derive several other Chebyshev and Chernoff-ty…