Max Simchowitz - Concepedia

Author

Max Simchowitz

University of California, Berkeley ORCID

Also Known As

Daniel Pfrommer, Matni, Nikolai, Max Simchowitz, Pfrommer, Daniel, Simchowitz, Max

Publications

1.7K

Citations

H-Index

Concepts

All Affiliations

University of California, Berkeley Massachusetts Institute of Technology Microsoft Research (United Kingdom)Princeton University Cornell University

About

Max Simchowitz is an author at University of California, Berkeley specializing in engineering, machine learning, and computer science.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	14	17	1.2K
2	Computer Science	11	12	562
3	Management	3	3	77
4	Data Science	3	3	214
5	Systems Engineering	1	1	13

Max Simchowitz

Publications

1.6K

Citations

H-Index

Page 1

	Year	Citations
Gradient Descent Only Converges to Minimizers Jason D. Lee, Max Simchowitz, Michael I. Jordan, Conference on Learning Theory Gradient DescentEngineeringMachine LearningConvex OptimizationNondifferentiable Optimization	2016	385
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
First-order methods almost always avoid strict saddle points Jason D. Lee, Ioannis Panageas, Georgios Piliouras, Mathematical Programming Numerical AnalysisEngineeringPde-constrained OptimizationDerivative-free OptimizationApproximation Theory	2019	140
Gradient Descent Converges to Minimizers Jason D. Lee, Max Simchowitz, Michael I. Jordan, arXiv (Cornell University) EngineeringMachine LearningRandom InitializationStochastic OptimizationStable Manifold Theorem	2016	123
Learning Without Mixing: Towards A Sharp Analysis of Linear System\n Identification Max Simchowitz, Horia Mania, Stephen Tu, arXiv (Cornell University)	2018	116
First-order Methods Almost Always Avoid Saddle Points Jason D. Lee, Ioannis Panageas, Georgios Piliouras, arXiv (Cornell University) Numerical AnalysisGradient DescentEngineeringPde-constrained OptimizationDerivative-free Optimization	2017	76
Learning Without Mixing: Towards A Sharp Analysis of Linear System Identification Max Simchowitz, Horia Mania, Stephen Tu, arXiv (Cornell University) Minimax Optimal PerformanceParameter EstimationEngineeringMachine LearningLinear System	2018	50
Improper Learning for Non-Stochastic Control Max Simchowitz, Karan Singh, Elad Hazan Conference on Learning Theory Artificial IntelligenceImproper LearningMachine LearningEngineeringStochastic Optimization	2020	45
Corruption-Robust Exploration in Episodic Reinforcement Learning Thodoris Lykouris, Max Simchowitz, Aleksandrs Slivkins, Mathematics of Operations Research Artificial IntelligenceEngineeringMachine LearningGame TheoryReinforcement Learning (Educational Psychology)	2024	38

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