Mahdi Soltanolkotabi

Author

University of Southern California ORCID

Also Known As

Avestimehr, Salman, M. Soltanolkotabi, Mahdi Soltanolkotabi, Soltanolkotabi, M., Soltanolkotabi, Mahdi, Tinaz, Berk

135

Publications

3.5K

Citations

H-Index

116

Concepts

All Affiliations

University of Southern California Southern California University for Professional Studies University of California, Berkeley ETH Zurich Stanford University

About

Mahdi Soltanolkotabi is an author at University of Southern California specializing in engineering, computer science, and machine learning.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	25	46	2.8K
2	Health Sciences	2	2	46
3	Language Studies	2	2	134
4	Applied Physics	1	1	22
5	Cognitive Science	1	1	12

Mahdi Soltanolkotabi

Publications

3.2K

Citations

H-Index

Page 1

	Year	Citations
A geometric analysis of subspace clustering with outliers Mahdi Soltanolkotabi, Emmanuel J. Candès The Annals of Statistics Sparse RepresentationMachine VisionEngineeringData ScienceData Mining	2012	433
Lagrange Coded Computing: Optimal Design for Resiliency, Security and Privacy Qian Yu, Songze Li, Netanel Raviv, arXiv (Cornell University) EngineeringInformation SecurityComputational ComplexityConfidential ComputingData Science	2018	206
Compressed Sensing with Deep Image Prior and Learned Regularization Dave Van Veen, Ajil Jalal, Mahdi Soltanolkotabi, arXiv (Cornell University) Sparse RepresentationEngineeringMachine LearningData ScienceCompressive Sensing	2018	167
A Field Guide to Federated Optimization Jianyu Wang, Zachary Charles, Zheng Xu, arXiv (Cornell University) Artificial IntelligenceEngineeringMachine LearningDistributed AlgorithmsFederated Structure	2021	167
Gradient Descent with Early Stopping is Provably Robust to Label Noise for Overparameterized Neural Networks Mingchen Li, Mahdi Soltanolkotabi, Samet Oymak arXiv (Cornell University) Artificial IntelligenceGradient DescentEngineeringMachine LearningModern Neural Networks	2019	155
Toward Moderate Overparameterization: Global Convergence Guarantees for Training Shallow Neural Networks Samet Oymak, Mahdi Soltanolkotabi IEEE Journal on Selected Areas in Information Theory Artificial IntelligenceNeural Scaling LawHyperparameter EstimationEngineeringMachine Learning	2020	154
LAGRANGE CODED COMPUTING: OPTIMAL DESIGN FOR RESILIENCY, SECURITY, AND PRIVACY Salman Avestimehr, Mohammadreza M. Kalan, Netanel Raviv, International Conference on Artificial Intelligence and Statistics EngineeringInformation SecurityComputational ComplexityConfidential ComputingData Science	2019	148
Low-rank solutions of linear matrix equations via procrustes flow Stephen Tu, Ross Boczar, Max Simchowitz,	2016	145
Low-rank Solutions of Linear Matrix Equations via Procrustes Flow Stephen Tu, Ross Boczar, Max Simchowitz, arXiv (Cornell University) Numerical AnalysisMathematical ProgrammingLow-rank MatrixSparse RepresentationEngineering	2015	143
A unified approach to sparse signal processing Farokh Marvasti, Arash Amini, Farzan Haddadi, EURASIP Journal on Advances in Signal Processing	2012	112

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