Bin Yu - Concepedia

Author

Bin Yu

University of California, Berkeley ORCID

Also Known As

B Yu, B. Yu, Baocai Yu, Bin Bin Yu, Bin Yu, Bohan Yu, Boxi Yu, Duncan, James, Hongling Gao, Pradeep Ravikumar

196

Publications

10.5K

Citations

H-Index

148

Concepts

All Affiliations

University of California, Berkeley University of Wisconsin–Madison

About

Bin Yu is an author at University of California, Berkeley specializing in engineering, data science, and computer science.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	31	49	8.8K
2	Business	4	4	246
3	Education	2	2	85
4	Language Studies	2	2	35
5	Arts	1	1	42

Bin Yu

Publications

9.8K

Citations

H-Index

Page 1

	Year	Citations
Definitions, methods, and applications in interpretable machine learning William J. Murdoch, Chandan Singh, Karl Kumbier, Proceedings of the National Academy of Sciences Artificial IntelligenceEngineeringMachine LearningNatural Language ProcessingData Science	2019	1.9K
The minimum description length principle in coding and modeling Andrew R. Barron, J. Rissanen, Bin Yu IEEE Transactions on Information Theory Mathematical ProgrammingEngineeringMachine LearningComputational ComplexitySemantics	1998	1K
Boosting With the<i>L</i><sub>2</sub>Loss Peter Bühlmann, Bin Yu Journal of the American Statistical Association Boosted Smoothing SplineEngineeringMachine LearningData ScienceData Mining	2003	843
Space Weather Modeling Framework: A new tool for the space science community G. Tóth, T. I. Gombosi, David R. Chesney, Journal of Geophysical Research Atmospheres EngineeringComputational ModelNew ToolIonosphere ElectrodynamicsWeather Forecasting	2005	796
Model Selection and the Principle of Minimum Description Length Mark Hansen, Bin Yu Journal of the American Statistical Association Mathematical ProgrammingBayesian StatisticsEngineeringHigh-dimensional MethodData Science	2001	793
Statistical guarantees for the EM algorithm: From population to sample-based analysis Sivaraman Balakrishnan, Martin J. Wainwright, Bin Yu The Annals of Statistics Mathematical ProgrammingEm AlgorithmParameter EstimationEngineeringStochastic Optimization	2017	389
Artificial Intelligence and Statistics Bin Yu, Karl Kumbier arXiv (Cornell University) Artificial IntelligenceEngineeringMachine LearningStatistical FoundationIntelligent Systems	2017	358
Rates of Convergence for Empirical Processes of Stationary Mixing Sequences Bin Yu The Annals of Probability EngineeringGibbs MeasureEntropyIndependent VariablesStochastic Calculus	1994	303
Iterative random forests to discover predictive and stable high-order interactions Sumanta Basu, Karl Kumbier, James B. Brown, Proceedings of the National Academy of Sciences	2018	301
Superheat: An R Package for Creating Beautiful and Extendable Heatmaps for Visualizing Complex Data Rebecca Barter, Bin Yu Journal of Computational and Graphical Statistics Extendable HeatmapsReal-time VisualizationEngineeringInteractive Data ExplorationData Visualization	2018	234

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