Mahdi Soltanolkotabi
Titel
Citeras av
Citeras av
År
Phase retrieval via Wirtinger flow: Theory and algorithms
EJ Candes, X Li, M Soltanolkotabi
IEEE Transactions on Information Theory 61 (4), 1985-2007, 2015
8402015
Discussion of "Latent Variable Graphical Model Selection via Convex Optimization"
EJCM Soltanolkotabi
Annals of Statistics 40 (2), 1997-2004, 2012
444*2012
A geometric analysis of subspace clustering with outliers
M Soltanolkotabi, EJ Candes
The Annals of Statistics 40 (4), 2195-2238, 2012
3822012
Robust subspace clustering
M Soltanolkotabi, E Elhamifar, EJ Candes
The Annals of Statistics 42 (2), 669-699, 2014
3302014
Phase Retrieval from Coded Diffraction Patterns
E Candes, X Li, M Soltanolkotabi
Applied and Computational Harmonic Analysis, 2013
2882013
Low-rank solutions of linear matrix equations via procrustes flow
S Tu, R Boczar, M Soltanolkotabi, B Recht
Proceedings of International Conference on Machine Learning, 2016
2542016
Theoretical insights into the optimization landscape of over-parameterized shallow neural networks
M Soltanolkotabi, A Javanmard, JD Lee
arXiv preprint arXiv:1707.04926, 2018
1962018
Experimental robustness of Fourier ptychography phase retrieval algorithms
LH Yeh, J Dong, J Zhong, L Tian, M Chen, G Tang, M Soltanolkotabi, ...
Optics express 23 (26), 33214-33240, 2015
1612015
A unified approach to sparse signal processing
F Marvasti, A Amini, F Haddadi, M Soltanolkotabi, BH Khalaj, A Aldroubi, ...
EURASIP journal on advances in signal processing 2012 (1), 44, 2012
1232012
Learning relus via gradient descent
M Soltanolkotabi
Advances in neural information processing systems, 2007-2017, 2017
892017
Lagrange coded computing: Optimal design for resiliency, security, and privacy
Q Yu, S Li, N Raviv, SMM Kalan, M Soltanolkotabi, SA Avestimehr
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
882019
Towards moderate overparameterization: global convergence guarantees for training shallow neural networks
S Oymak, M Soltanolkotabi
IEEE Journal on Selected Areas in Information Theory, 2020
742020
Sharp Time--Data Tradeoffs for Linear Inverse Problems
S Oymak, B Recht, M Soltanolkotabi
arXiv preprint arXiv:1507.04793, 2017
742017
Structured signal recovery from quadratic measurements: Breaking sample complexity barriers via nonconvex optimization
M Soltanolkotabi
arXiv preprint arXiv:1702.06175, 2018
672018
Super-resolution radar
R Heckel, VI Morgenshtern, M Soltanolkotabi
http://imaiai.oxfordjournals.org/content/early/2016/02/23/imaiai.iaw001, 2016
602016
Overparameterized nonlinear learning: Gradient descent takes the shortest path?
S Oymak, M Soltanolkotabi
International Conference on Machine Learning, 4951-4960, 2019
552019
Compressed sensing with deep image prior and learned regularization
D Van Veen, A Jalal, M Soltanolkotabi, E Price, S Vishwanath, ...
arXiv preprint arXiv:1806.06438, 2018
542018
Gradient methods for submodular maximization
H Hassani, M Soltanolkotabi, A Karbasi
Advances in Neural Information Processing Systems, 5841-5851, 2017
542017
Near-Optimal Straggler Mitigation for Distributed Gradient Methods
S Li, SMM Kalan, AS Avestimehr, M Soltanolkotabi
arXiv preprint arXiv:1710.09990, 2018
462018
Algorithms and theory for clustering and nonconvex quadratic programming
M Soltanolkotabi
Stanford University, 2014
392014
Systemet kan inte utföra åtgärden just nu. Försök igen senare.
Artiklar 1–20