Max G’Sell - Concepedia

Concepedia

Author

Max G’Sell

Carnegie Mellon University

Also Known As

G'Sell, Max, G'Sell, Max Grazier, Max G'Sell, Max Grazier G'Sell, Max Grazier G’Sell, Max G’Sell, Maxwell G’Sell

56

Publications

1.2K

Citations

13

H-Index

38

Concepts

All Affiliations

Carnegie Mellon University University of Pittsburgh Stanford University Massachusetts General Hospital Center for the Neural Basis of Cognition

MG

About

Max G’Sell is an author at Carnegie Mellon University specializing in engineering, statistics, and data science.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	10	10	1K
2	Biostatistics	4	4	186
3	Law	2	2	55
4	Medicine	2	2	31
5	Public Health	2	2	163

Max G’Sell

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16

Publications

1.2K

Citations

13

H-Index

	Year	Citations
Distribution-Free Predictive Inference for Regression Jing Lei, Max G’Sell, Alessandro Rinaldo, Journal of the American Statistical Association Loco InferenceDistribution-free Predictive InferenceR Package ConformalinferenceData ScienceEngineering	2017	670
Sequential Selection Procedures and False Discovery Rate Control Max G’Sell, Stefan Wager, Alexandra Chouldechova, Journal of the Royal Statistical Society Series B (Statistical Methodology) Discovery TechniqueEngineeringData MiningRejection RuleKnowledge Discovery	2015	143
Bootstrapping and sample splitting for high-dimensional, assumption-lean inference Alessandro Rinaldo, Larry Wasserman, Max G’Sell The Annals of Statistics Bootstrap ResamplingEngineeringHigh-dimensional MethodData SciencePredictive Analytics	2019	76
Exact post-selection inference for the generalized lasso path Sangwon Hyun, Max G’Sell, Ryan J. Tibshirani Electronic Journal of Statistics EngineeringHigh-dimensional MethodData ScienceRobust StatisticRegularization (Mathematics)	2018	41
Distribution-Free Predictive Inference For Regression Jing Lei, Max G’Sell, Alessandro Rinaldo, arXiv (Cornell University)	2016	37
Fairer and more accurate, but for whom? Alexandra Chouldechova, Max G’Sell arXiv (Cornell University) EngineeringMachine LearningData ScienceData MiningRecidivism Prediction Task	2017	32
Bootstrapping and Sample Splitting For High-Dimensional, Assumption-Free Inference Alessandro Rinaldo, Larry Wasserman, Max G’Sell, arXiv (Cornell University) Bootstrap ResamplingEngineeringMachine LearningData ScienceSample Splitting	2016	23
Fairness Evaluation in Presence of Biased Noisy Labels Riccardo Fogliato, Max G’Sell, Alexandra Chouldechova arXiv (Cornell University) EngineeringFairness In Natural Language ProcessingLawBiasFair Data Principle	2020	23
Endogenous activity modulates stimulus and circuit-specific neural tuning and predicts perceptual behavior Yuanning Li, Michael Ward, R. Mark Richardson, Nature Communications	2020	23
H‐MAGMA, inheriting a shaky statistical foundation, yields excess false positives Ronald Yurko, Kathryn Roeder, Bernie Devlin, Annals of Human Genetics Magmatic ProcessGenetic TestingVolcanologyGeneticsShaky Statistical Foundation	2020	20

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