Nathan Srebro - Concepedia

Author

Nathan Srebro

Toyota Technological Institute at Chicago ORCID

Also Known As

Kabra, Anmol, Nacson, Mor Shpigel, Nathan Srebro, Srebro, Nathan, Srebro, Nati

255

Publications

17.9K

Citations

H-Index

118

Concepts

All Affiliations

Toyota Technological Institute at Chicago University of Chicago Massachusetts Institute of Technology Toyota Technological Institute Technion – Israel Institute of Technology

About

Nathan Srebro is an author at Toyota Technological Institute at Chicago specializing in engineering, machine learning, and computer science.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	47	88	13.9K
2	Business	4	4	393
3	Law	3	3	2.3K
4	Education	2	2	41
5	Language Studies	1	1	17

Nathan Srebro

115

Publications

16.6K

Citations

H-Index

Page 1

	Year	Citations
Equality of Opportunity in Supervised Learning Moritz Hardt, Eric Price, Nathan Srebro arXiv (Cornell University) Artificial IntelligenceEngineeringMachine LearningSpecified Sensitive AttributeDiscrimination	2016	1.9K
Pegasos: primal estimated sub-gradient solver for SVM Shai Shalev‐Shwartz, Yoram Singer, Nathan Srebro, Mathematical Programming Support Vector MachineEngineeringMachine LearningPattern RecognitionConvex Optimization	2010	1.5K
Pegasos Shai Shalev‐Shwartz, Yoram Singer, Nathan Srebro Optimization Problem CastSupport Vector MachineEngineeringMachine LearningData Science	2007	983
Fast maximum margin matrix factorization for collaborative prediction Jasson D. M. Rennie, Nathan Srebro Mathematical ProgrammingEngineeringMachine LearningSemidefinite ProgrammingStandard Sdp Solvers	2005	973
Maximum-Margin Matrix Factorization Nathan Srebro, Jason D. M. Rennie, Tommi Jaakkola	2004	954
Weighted low-rank approximations Nathan Srebro, Tommi Jaakkola International Conference on Machine Learning Mathematical ProgrammingLower RankRanking AlgorithmEngineeringMachine Learning	2003	697
The Marginal Value of Adaptive Gradient Methods in Machine Learning Ashia Wilson, Rebecca Roelofs, Mitchell Stern, arXiv (Cornell University) Artificial IntelligenceMarginal ValueEngineeringMachine LearningData Science	2017	552
Exploring Generalization in Deep Learning Behnam Neyshabur, Srinadh Bhojanapalli, David McAllester, Neural Information Processing Systems Artificial IntelligenceNeural Scaling LawEngineeringMachine LearningData Science	2017	485
Stochastic gradient descent, weighted sampling, and the randomized Kaczmarz algorithm Deanna Needell, Nathan Srebro, Rachel Ward Mathematical Programming EngineeringMachine LearningComputational Learning TheoryStochastic OptimizationStochastic Gradient Descent	2015	435
Equality of Opportunity in Supervised Learning Moritz Hardt, Eric Price, Nathan Srebro arXiv (Cornell University) Artificial IntelligenceEngineeringMachine LearningSpecified Sensitive AttributeDiscrimination	2016	369

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