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Mahdi Soltanolkotabi
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Year
Phase retrieval via Wirtinger flow: Theory and algorithms
EJ Candes, X Li, M Soltanolkotabi
IEEE Transactions on Information Theory 61 (4), 1985-2007, 2015
11802015
Discussion of "Latent Variable Graphical Model Selection via Convex Optimization"
EJCM Soltanolkotabi
Annals of Statistics 40 (2), 1997-2004, 2012
527*2012
A geometric analysis of subspace clustering with outliers
M Soltanolkotabi, EJ Candes
The Annals of Statistics 40 (4), 2195-2238, 2012
4462012
Robust subspace clustering
M Soltanolkotabi, E Elhamifar, EJ Candes
The annals of Statistics 42 (2), 669-699, 2014
3852014
Phase Retrieval from Coded Diffraction Patterns
E Candes, X Li, M Soltanolkotabi
Applied and Computational Harmonic Analysis, 2013
3742013
Theoretical insights into the optimization landscape of over-parameterized shallow neural networks
M Soltanolkotabi, A Javanmard, JD Lee
arXiv preprint arXiv:1707.04926, 2018
3442018
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
3422016
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
2322019
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
2292015
Toward moderate overparameterization: Global convergence guarantees for training shallow neural networks
S Oymak, M Soltanolkotabi
IEEE Journal on Selected Areas in Information Theory 1 (1), 84-105, 2020
1982020
Gradient descent with early stopping is provably robust to label noise for overparameterized neural networks
M Li, M Soltanolkotabi, S Oymak
International conference on artificial intelligence and statistics, 4313-4324, 2020
1952020
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), 1-45, 2012
1372012
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
1352018
Learning relus via gradient descent
M Soltanolkotabi
Advances in neural information processing systems 30, 2017
1312017
Overparameterized nonlinear learning: Gradient descent takes the shortest path?
S Oymak, M Soltanolkotabi
International Conference on Machine Learning, 4951-4960, 2019
1222019
Sharp Time--Data Tradeoffs for Linear Inverse Problems
S Oymak, B Recht, M Soltanolkotabi
arXiv preprint arXiv:1507.04793, 2017
942017
Structured signal recovery from quadratic measurements: Breaking sample complexity barriers via nonconvex optimization
M Soltanolkotabi
arXiv preprint arXiv:1702.06175, 2018
912018
Gradient methods for submodular maximization
H Hassani, M Soltanolkotabi, A Karbasi
Advances in Neural Information Processing Systems 30, 2017
902017
Near-Optimal Straggler Mitigation for Distributed Gradient Methods
S Li, SMM Kalan, AS Avestimehr, M Soltanolkotabi
arXiv preprint arXiv:1710.09990, 2018
852018
A field guide to federated optimization
J Wang, Z Charles, Z Xu, G Joshi, HB McMahan, M Al-Shedivat, G Andrew, ...
arXiv preprint arXiv:2107.06917, 2021
822021
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