Search Results - "Maleki, Arian"

A scalable estimate of the out‐of‐sample prediction error via approximate leave‐one‐out cross‐validation by Rad, Kamiar Rahnama, Maleki, Arian

“…Summary The paper considers the problem of out‐of‐sample risk estimation under the high dimensional settings where standard techniques such as K‐fold…”
Get full text

Message-passing algorithms for compressed sensing by Donoho, David L, Maleki, Arian, Montanari, Andrea

“…Compressed sensing aims to undersample certain high-dimensional signals yet accurately reconstruct them by exploiting signal characteristics. Accurate…”
Get full text

Spectral Method for Phase Retrieval: An Expectation Propagation Perspective by Ma, Junjie, Dudeja, Rishabh, Xu, Ji, Maleki, Arian, Wang, Xiaodong

“…Phase retrieval refers to the problem of recovering a signal <inline-formula> <tex-math notation="LaTeX"> {x}_{\star }\in \mathbb {C}^{n}…”
Get full text

The Noise-Sensitivity Phase Transition in Compressed Sensing by Donoho, D. L., Maleki, A., Montanari, A.

“…Consider the noisy underdetermined system of linear equations: y = Ax 0 + z, with A an n × N measurement matrix, n <; N, and z ~ N(0, σ 2 I) a Gaussian white…”
Get full text

CONSISTENT PARAMETER ESTIMATION FOR LASSO AND APPROXIMATE MESSAGE PASSING by Mousavi, Ali, Maleki, Arian, Baraniuk, Richard G.

“…This paper studies the optimal tuning of the regularization parameter in LASSO or the threshold parameters in approximate message passing (AMP). Considering a…”
Get full text

Optimization-Based AMP for Phase Retrieval: The Impact of Initialization and \ell Regularization by Ma, Junjie, Xu, Ji, Maleki, Arian

“…We consider an <inline-formula> <tex-math notation="LaTeX">\ell _{2} </tex-math></inline-formula>-regularized non-convex optimization problem for recovering…”
Get full text

Optimality of large MIMO detection via approximate message passing by Jeon, Charles, Ghods, Ramina, Maleki, Arian, Studer, Christoph

“…Optimal data detection in multiple-input multiple-output (MIMO) communication systems with a large number of antennas at both ends of the wireless link entails…”
Get full text

Message passing algorithms for compressed sensing: I. motivation and construction by Donoho, David L, Maleki, Arian, Montanari, Andrea

“…In a recent paper, the authors proposed a new class of low-complexity iterative thresholding algorithms for reconstructing sparse signals from a small set of…”
Get full text

WHICH BRIDGE ESTIMATOR IS THE BEST FOR VARIABLE SELECTION? by Wang, Shuaiwen, Weng, Haolei, Maleki, Arian

“…We study the problem of variable selection for linear models under the high-dimensional asymptotic setting, where the number of observations n grows at the…”
Get full text

On the Gaussianity of Kolmogorov Complexity of Mixing Sequences by Austern, Morgane, Maleki, Arian

“…It has been proved that for all stationary and ergodic processes the average Kolmogorov complexity of the first n observations converges almost surely to its…”
Get full text

From Denoising to Compressed Sensing by Metzler, Christopher A., Maleki, Arian, Baraniuk, Richard G.

“…A denoising algorithm seeks to remove noise, errors, or perturbations from a signal. Extensive research has been devoted to this arena over the last several…”
Get full text

Correction to "Compressed sensing in the presence of speckle noise" by Zhou, Wenda, Jalali, Shirin, Maleki, Arian

“…This paper presents a correction to Theorem 2 in [1] which follows from fixing an error in Lemma 5 and a minor correction in the constant of Lemma 3. Despite…”
Get full text

Signal-to-Noise Ratio Aware Minimaxity and Higher-Order Asymptotics by Guo, Yilin, Weng, Haolei, Maleki, Arian

“…Since its development, the minimax framework has been one of the corner stones of theoretical statistics, and has contributed to the popularity of many…”
Get full text

Toward Designing Optimal Sensing Matrices for Generalized Linear Inverse Problems by Ma, Junjie, Xu, Ji, Maleki, Arian

“…We consider an inverse problem [Formula Omitted], where [Formula Omitted] is the signal of interest, [Formula Omitted] is the sensing matrix, [Formula Omitted]…”
Get full text

OVERCOMING THE LIMITATIONS OF PHASE TRANSITION BY HIGHER ORDER ANALYSIS OF REGULARIZATION TECHNIQUES by Weng, Haolei, Maleki, Arian, Zheng, Le

“…We study the problem of estimating a sparse vector β ∈ ℝ p from the response variables y = Xβ + w, where w ~ N ( 0 , σ w 2 I n × n ) , under the following…”
Get full text

Towards Designing Optimal Sensing Matrices for Generalized Linear Inverse Problems by Ma, Junjie, Xu, Ji, Maleki, Arian

“…We consider an inverse problem y = f(Ax) , where x ∈ R n is the signal of interest, A is the sensing matrix, f is a nonlinear function and y ∈ R m is the…”
Get full text

From compression to compressed sensing by Jalali, Shirin, Maleki, Arian

“…Can compression algorithms be employed for recovering signals from their underdetermined set of linear measurements? Addressing this question is the first step…”
Get full text

Compressed Sensing in the Presence of Speckle Noise by Zhou, Wenda, Jalali, Shirin, Maleki, Arian

“…Speckle or multiplicative noise is a critical issue in coherence-based imaging systems, such as synthetic aperture radar and optical coherence tomography…”
Get full text

Using Black-Box Compression Algorithms for Phase Retrieval by Bakhshizadeh, Milad, Maleki, Arian, Jalali, Shirin

“…Compressive phase retrieval refers to the problem of recovering a structured <inline-formula> <tex-math notation="LaTeX">n…”
Get full text

Information Theoretic Limits for Phase Retrieval With Subsampled Haar Sensing Matrices by Dudeja, Rishabh, Ma, Junjie, Maleki, Arian

“…We study information theoretic limits of recovering an unknown <inline-formula> <tex-math notation="LaTeX">{n} </tex-math></inline-formula> dimensional,…”
Get full text