Armin Eftekhari

Orcid: 0000-0001-8202-6316

According to our database1, Armin Eftekhari authored at least 44 papers between 2009 and 2023.

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Bibliography

2023
The forward-backward envelope for sampling with the overdamped Langevin algorithm.
Stat. Comput., August, 2023

2022
Over-Parametrized Matrix Factorization in the Presence of Spurious Stationary Points.
IEEE Trans. Signal Process., 2022

2021
Nonlinear matrix recovery using optimization on the Grassmann manifold.
CoRR, 2021

The Nonconvex Geometry of Linear Inverse Problems.
CoRR, 2021

Subquadratic Overparameterization for Shallow Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Principal Component Hierarchy for Sparse Quadratic Programs.
Proceedings of the 38th International Conference on Machine Learning, 2021

2020
Principal Component Analysis by Optimization of Symmetric Functions has no Spurious Local Optima.
SIAM J. Optim., 2020

MOSES: A Streaming Algorithm for Linear Dimensionality Reduction.
IEEE Trans. Pattern Anal. Mach. Intell., 2020

Implicit Regularization in Matrix Sensing: A Geometric View Leads to Stronger Results.
CoRR, 2020

Double-Loop Unadjusted Langevin Algorithm.
Proceedings of the 37th International Conference on Machine Learning, 2020

Training Linear Neural Networks: Non-Local Convergence and Complexity Results.
Proceedings of the 37th International Conference on Machine Learning, 2020

Scalable Learning-Based Sampling Optimization for Compressive Dynamic MRI.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019
Sparse Inverse Problems over Measures: Equivalence of the Conditional Gradient and Exchange Methods.
SIAM J. Optim., 2019

Streaming Principal Component Analysis From Incomplete Data.
J. Mach. Learn. Res., 2019

An Inexact Augmented Lagrangian Framework for Nonconvex Optimization with Nonlinear Constraints.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Fast and Provable ADMM for Learning with Generative Priors.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018
Weighted Matrix Completion and Recovery With Prior Subspace Information.
IEEE Trans. Inf. Theory, 2018

Stable Super-Resolution of Images.
CoRR, 2018

Sparse non-negative super-resolution - simplified and stabilised.
CoRR, 2018

PCA by Determinant Optimisation has no Spurious Local Optima.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Non-Negative Super-Resolution is Stable.
Proceedings of the 2018 IEEE Data Science Workshop, 2018

2017
What to Expect When You Are Expecting on the Grassmannian.
IEEE Signal Process. Lett., 2017

What Happens to a Manifold Under a Bi-Lipschitz Map?
Discret. Comput. Geom., 2017

Learning the second-moment matrix of a smooth function from point samples.
Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017

2016
MC^2: A Two-Phase Algorithm for Leveraged Matrix Completion.
CoRR, 2016

Learning the Differential Correlation Matrix of a Smooth Function From Point Samples.
CoRR, 2016

SNIPE for Memory-Limited PCA From Incomplete Data.
CoRR, 2016

2015
Greed is Super: A Fast Algorithm for Super-Resolution.
CoRR, 2015

Computing active subspaces efficiently with gradient sketching.
Proceedings of the 6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2015

2014
A first analysis of the stability of Takens' embedding.
Proceedings of the 2014 IEEE Global Conference on Signal and Information Processing, 2014

2013
Matched Filtering From Limited Frequency Samples.
IEEE Trans. Inf. Theory, 2013

New Analysis of Manifold Embeddings and Signal Recovery from Compressive Measurements.
CoRR, 2013

Greed is super: A new iterative method for super-resolution.
Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

2012
The Restricted Isometry Property for Random Block Diagonal Matrices
CoRR, 2012

2011
Two-dimensional random projection.
Signal Process., 2011

The Restricted Isometry Property for block diagonal matrices.
Proceedings of the 45st Annual Conference on Information Sciences and Systems, 2011

2010
Block-wise 2D kernel PCA/LDA for face recognition.
Inf. Process. Lett., 2010

Endocardial boundary extraction in left ventricular echocardiographic images using fast and adaptive B-spline snake algorithm.
Int. J. Comput. Assist. Radiol. Surg., 2010

2009
Incremental Local Linear Fuzzy Classifier in Fisher Space.
EURASIP J. Adv. Signal Process., 2009

Two dimensional compressive classifier for sparse images.
Proceedings of the International Conference on Image Processing, 2009

Robust-SL0 for stable sparse representation in noisy settings.
Proceedings of the IEEE International Conference on Acoustics, 2009

<i>k</i>/<i>K</i>-Nearest Neighborhood Criterion for Improvement of Locally Linear Embedding.
Proceedings of the Computer Analysis of Images and Patterns, 13th International Conference, 2009

Two Dimensional Compressive Classifier for Sparse Images.
Proceedings of the Sixth International Conference on Computer Graphics, 2009

k/K-Nearest Neighborhood Criterion for Improving Locally Linear Embedding.
Proceedings of the Sixth International Conference on Computer Graphics, 2009


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