Armin Eftekhari

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 37

Top Topics

Wall Street Journal

Principal Component Analysis

Inverse Problems

Top Venues

Publications

Florentin Goyens, Armin Eftekhari, Nicolas Boumal
Computing Second-Order Points Under Equality Constraints: Revisiting Fletcher's Augmented Lagrangian. J. Optim. Theory Appl. 201 (3) (2024)
Armin Eftekhari, Luis Vargas, Konstantinos C. Zygalakis
The forward-backward envelope for sampling with the overdamped Langevin algorithm. Stat. Comput. 33 (4) (2023)
Armin Eftekhari
Over-Parametrized Matrix Factorization in the Presence of Spurious Stationary Points. IEEE Trans. Signal Process. 70 (2022)
Armin Eftekhari, Luis Vargas, Konstantinos Zygalakis
The Forward-Backward Envelope for Sampling with the Overdamped Langevin Algorithm. CoRR (2022)
Florentin Goyens, Coralia Cartis, Armin Eftekhari
Nonlinear matrix recovery using optimization on the Grassmann manifold. CoRR (2021)
Robbie Vreugdenhil, Viet Anh Nguyen, Armin Eftekhari, Peyman Mohajerin Esfahani
Principal Component Hierarchy for Sparse Quadratic Programs. CoRR (2021)
Armin Eftekhari
Over-Parametrized Matrix Factorization in the Presence of Spurious Stationary Points. CoRR (2021)
Chaehwan Song, Ali Ramezani-Kebrya, Thomas Pethick, Armin Eftekhari, Volkan Cevher
Subquadratic Overparameterization for Shallow Neural Networks. NeurIPS (2021)
Chaehwan Song, Ali Ramezani-Kebrya, Thomas Pethick, Armin Eftekhari, Volkan Cevher
Subquadratic Overparameterization for Shallow Neural Networks. CoRR (2021)
Armin Eftekhari, Peyman Mohajerin Esfahani
The Nonconvex Geometry of Linear Inverse Problems. CoRR (2021)
Robbie Vreugdenhil, Viet Anh Nguyen, Armin Eftekhari, Peyman Mohajerin Esfahani
Principal Component Hierarchy for Sparse Quadratic Programs. ICML (2021)
Armin Eftekhari, Konstantinos Zygalakis
Implicit Regularization in Matrix Sensing: A Geometric View Leads to Stronger Results. CoRR (2020)
Paul Rolland, Armin Eftekhari, Ali Kavis, Volkan Cevher
Double-Loop Unadjusted Langevin Algorithm. CoRR (2020)
Armin Eftekhari
Training Linear Neural Networks: Non-Local Convergence and Complexity Results. ICML (2020)
Armin Eftekhari, Raphael A. Hauser
Principal Component Analysis by Optimization of Symmetric Functions has no Spurious Local Optima. SIAM J. Optim. 30 (1) (2020)
Thomas Sanchez, Baran Gözcü, Ruud B. van Heeswijk, Armin Eftekhari, Efe Ilicak, Tolga Çukur, Volkan Cevher
Scalable Learning-Based Sampling Optimization for Compressive Dynamic MRI. ICASSP (2020)
Armin Eftekhari, Raphael A. Hauser, Andreas Grammenos
MOSES: A Streaming Algorithm for Linear Dimensionality Reduction. IEEE Trans. Pattern Anal. Mach. Intell. 42 (11) (2020)
Paul Rolland, Armin Eftekhari, Ali Kavis, Volkan Cevher
Double-Loop Unadjusted Langevin Algorithm. ICML (2020)
Fabian Latorre Gómez, Armin Eftekhari, Volkan Cevher
Fast and Provable ADMM for Learning with Generative Priors. NeurIPS (2019)
Armin Eftekhari, Andrew Thompson
Sparse Inverse Problems over Measures: Equivalence of the Conditional Gradient and Exchange Methods. SIAM J. Optim. 29 (2) (2019)
Mehmet Fatih Sahin, Armin Eftekhari, Ahmet Alacaoglu, Fabian Latorre Gómez, Volkan Cevher
An Inexact Augmented Lagrangian Framework for Nonconvex Optimization with Nonlinear Constraints. NeurIPS (2019)
Fabian Latorre Gómez, Armin Eftekhari, Volkan Cevher
Fast and Provable ADMM for Learning with Generative Priors. CoRR (2019)
Armin Eftekhari, Gregory Ongie, Laura Balzano, Michael B. Wakin
Streaming Principal Component Analysis From Incomplete Data. J. Mach. Learn. Res. 20 (2019)
Armin Eftekhari, Tamir Bendory, Gongguo Tang
Stable Super-Resolution of Images. CoRR (2018)
Armin Eftekhari, Jared Tanner, Andrew Thompson, Bogdan Toader, Hemant Tyagi
Non-Negative Super-Resolution is Stable. DSW (2018)
Armin Eftekhari, Dehui Yang, Michael B. Wakin
Weighted Matrix Completion and Recovery With Prior Subspace Information. IEEE Trans. Inf. Theory 64 (6) (2018)
Armin Eftekhari, Jared Tanner, Andrew Thompson, Bogdan Toader, Hemant Tyagi
Sparse non-negative super-resolution - simplified and stabilised. CoRR (2018)
Raphael A. Hauser, Armin Eftekhari, Heinrich F. Matzinger
PCA by Determinant Optimisation has no Spurious Local Optima. KDD (2018)
Armin Eftekhari, Raphael A. Hauser, Andreas Grammenos
MOSES: A Streaming Algorithm for Linear Dimensionality Reduction. CoRR (2018)
Armin Eftekhari, Michael B. Wakin, Ping Li, Paul G. Constantine, Rachel A. Ward
Learning the second-moment matrix of a smooth function from point samples. ACSSC (2017)
Armin Eftekhari, Laura Balzano, Michael B. Wakin
What to Expect When You Are Expecting on the Grassmannian. IEEE Signal Process. Lett. 24 (6) (2017)
Armin Eftekhari, Michael B. Wakin
What Happens to a Manifold Under a Bi-Lipschitz Map? Discret. Comput. Geom. 57 (3) (2017)
Armin Eftekhari, Ping Li, Michael B. Wakin, Rachel A. Ward
Learning the Differential Correlation Matrix of a Smooth Function From Point Samples. CoRR (2016)
Armin Eftekhari, Laura Balzano, Michael B. Wakin
What to Expect When You Are Expecting on the Grassmannian. CoRR (2016)
Armin Eftekhari, Laura Balzano, Dehui Yang, Michael B. Wakin
SNIPE for Memory-Limited PCA From Incomplete Data. CoRR (2016)
Armin Eftekhari, Michael B. Wakin, Rachel A. Ward
MC^2: A Two-Phase Algorithm for Leveraged Matrix Completion. CoRR (2016)
Armin Eftekhari, Dehui Yang, Michael B. Wakin
Weighted Matrix Completion and Recovery with Prior Subspace Information. CoRR (2016)
Armin Eftekhari, Michael B. Wakin
What Happens to a Manifold Under a Bi-Lipschitz Map? CoRR (2015)
Armin Eftekhari, Michael B. Wakin
Greed is Super: A Fast Algorithm for Super-Resolution. CoRR (2015)
Paul G. Constantine, Armin Eftekhari, Michael B. Wakin
Computing active subspaces efficiently with gradient sketching. CAMSAP (2015)
Han Lun Yap, Armin Eftekhari, Michael B. Wakin, Christopher J. Rozell
A first analysis of the stability of Takens' embedding. GlobalSIP (2014)
Armin Eftekhari, Michael B. Wakin
Greed is super: A new iterative method for super-resolution. GlobalSIP (2013)
Armin Eftekhari, Michael B. Wakin
New Analysis of Manifold Embeddings and Signal Recovery from Compressive Measurements. CoRR (2013)
Armin Eftekhari, Justin K. Romberg, Michael B. Wakin
Matched Filtering From Limited Frequency Samples. IEEE Trans. Inf. Theory 59 (6) (2013)
Armin Eftekhari, Han Lun Yap, Christopher J. Rozell, Michael B. Wakin
The Restricted Isometry Property for Random Block Diagonal Matrices CoRR (2012)
Han Lun Yap, Armin Eftekhari, Michael B. Wakin, Christopher J. Rozell
The Restricted Isometry Property for block diagonal matrices. CISS (2011)
Armin Eftekhari, Justin K. Romberg, Michael B. Wakin
Matched Filtering from Limited Frequency Samples CoRR (2011)
Armin Eftekhari, Massoud Babaie-Zadeh, Hamid Abrishami Moghaddam
Two-dimensional random projection. Signal Process. 91 (7) (2011)
Armin Eftekhari, Mohamad Forouzanfar, Hamid Abrishami Moghaddam, Javad Alirezaie
Block-wise 2D kernel PCA/LDA for face recognition. Inf. Process. Lett. 110 (17) (2010)
Mahdi Marsousi, Armin Eftekhari, Armen Kocharian, Javad Alirezaie
Endocardial boundary extraction in left ventricular echocardiographic images using fast and adaptive B-spline snake algorithm. Int. J. Comput. Assist. Radiol. Surg. 5 (5) (2010)
Armin Eftekhari, Hamid Abrishami Moghaddam, Mohamad Forouzanfar, Javad Alirezaie
Incremental Local Linear Fuzzy Classifier in Fisher Space. EURASIP J. Adv. Signal Process. 2009 (2009)
Armin Eftekhari, Hamid Abrishami Moghaddam, Massoud Babaie-Zadeh
-Nearest Neighborhood Criterion for Improvement of Locally Linear Embedding. CAIP (2009)
Armin Eftekhari, Massoud Babaie-Zadeh, Christian Jutten, Hamid Abrishami Moghaddam
Robust-SL0 for stable sparse representation in noisy settings. ICASSP (2009)
Armin Eftekhari, Hamid Abrishami Moghaddam, Massoud Babaie-Zadeh
Two Dimensional Compressive Classifier for Sparse Images. CGIV (2009)
Armin Eftekhari, Hamid Abrishami Moghaddam, Massoud Babaie-Zadeh, Mohammad Shahram Moin
Two dimensional compressive classifier for sparse images. ICIP (2009)
Armin Eftekhari, Hamid Abrishami Moghaddam, Massoud Babaie-Zadeh
k/K-Nearest Neighborhood Criterion for Improving Locally Linear Embedding. CGIV (2009)