Maxim Raginsky - Concepedia

Author

Maxim Raginsky

University of Illinois Urbana-Champaign ORCID

Also Known As

M. Raginsky, Maxim Raginsky, Raginsky, M., Raginsky, Maxim

206

Publications

3.7K

Citations

H-Index

Concepts

All Affiliations

University of Illinois Urbana-Champaign Duke University University of Pennsylvania Northwestern University University of North Carolina at Chapel Hill

About

Maxim Raginsky is an author at University of Illinois Urbana-Champaign specializing in engineering, computer science, and data science.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	20	35	1.6K
2	Business	3	3	106
3	Management	1	1	68
4	Social Sciences	1	1	36
5	Communication	1	1	14

Maxim Raginsky

Publications

3.3K

Citations

H-Index

Page 1

	Year	Citations
Locality-sensitive binary codes from shift-invariant kernels Maxim Raginsky, Svetlana Lazebnik	2009	615
Supervised Learning of Quantizer Codebooks by Information Loss Minimization Svetlana Lazebnik, Maxim Raginsky IEEE Transactions on Pattern Analysis and Machine Intelligence Multiple Instance LearningEngineeringMachine LearningInformation Loss MinimizationImage Classification	2009	224
Concentration of Measure Inequalities in Information Theory, Communications, and Coding Maxim Raginsky, Igal Sason Foundations and Trends® in Communications and Information Theory	2013	183
Compressed Sensing Performance Bounds Under Poisson Noise Maxim Raginsky, Rebecca Willett, Zachary T. Harmany, IEEE Transactions on Signal Processing	2010	159
Non-convex learning via Stochastic Gradient Langevin Dynamics: a nonasymptotic analysis Maxim Raginsky, Alexander Rakhlin, Matus Telgarsky arXiv (Cornell University) Global MinimizersEngineeringData ScienceStochastic OptimizationStochastic System	2017	152
Information-theoretic analysis of generalization capability of learning algorithms Aolin Xu, Maxim Raginsky arXiv (Cornell University) Artificial IntelligenceEngineeringMachine LearningAlgorithmic LearningLearning Algorithm	2017	130
Strong Data Processing Inequalities and <inline-formula> <tex-math notation="LaTeX">$\Phi $ </tex-math> </inline-formula>-Sobolev Inequalities for Discrete Channels Maxim Raginsky IEEE Transactions on Information Theory Numerical AnalysisLarge DeviationsEngineeringChannel CodingStochastic Analysis	2016	112
Information-theoretic analysis of generalization capability of learning algorithms Aolin Xu, Maxim Raginsky arXiv (Cornell University) Artificial IntelligenceEngineeringMachine LearningAlgorithmic LearningLearning Algorithm	2017	102
Stochastic Dual Averaging for Decentralized Online Optimization on Time-Varying Communication Graphs Soomin Lee, Angelia Nedić, Maxim Raginsky IEEE Transactions on Automatic Control Mathematical ProgrammingEngineeringNetwork AnalysisDecentralized Online OptimizationGlobal Decision Vector	2017	91
Markov-Nash equilibria in mean-field games with discounted cost Naci Saldı, Tamer Başar, Maxim Raginsky	2020	88

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