Madeleine Udell

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Joel A. TroppSteele Family Professor of Applied & Computational Mathematics, CaltechDirección de correo verificada de caltech.edu
Volkan CevherAssociate Professor, LIONS, EPFL. Amazon Scholar.Dirección de correo verificada de epfl.ch
Alp YurtseverUmeå UniversityDirección de correo verificada de umu.se
Stephen BoydProfessor of Electrical Engineering, Computer Science, and Management Science, StanfordDirección de correo verificada de stanford.edu
Jicong FanThe Chinese University of Hong Kong, ShenzhenDirección de correo verificada de cuhk.edu.cn
Chengrun YangResearch Scientist, Google DeepMindDirección de correo verificada de google.com
Nathan KallusCornell UniversityDirección de correo verificada de cornell.edu
Yiming SunCornell University, Stanford UniversityDirección de correo verificada de cornell.edu
Iddo DroriAssociate Professor, Computer Science, Boston University (practice), Columbia University (adjunct)Dirección de correo verificada de cs.columbia.edu
Yuxuan ZhaoPhD Candidate in Statistics, Cornell UniversityDirección de correo verificada de cornell.edu
Alex TownsendCornell UniversityDirección de correo verificada de cornell.edu
Xiaojie Mao (毛小介)Assistant Professor, School of Economics and Management, Tsinghua UniversityDirección de correo verificada de sem.tsinghua.edu.cn
Steven DiamondGridmaticDirección de correo verificada de cs.stanford.edu
Yang GuoUniversity of Wisconsin, MadisonDirección de correo verificada de cs.wisc.edu
Reza Bosagh ZadehStanford and MatroidDirección de correo verificada de stanford.edu
Olivier FercoqTelecom ParisDirección de correo verificada de telecom-paristech.fr
Nigam ShahProfessor of Medicine, and Biomedical Data Science, Stanford UniversityDirección de correo verificada de stanford.edu
Damek DavisAssociate Professor, Operations Research and Information Engineering, CornellDirección de correo verificada de cornell.edu
Xinyue ShenResearcher, MetaDirección de correo verificada de meta.com
Yuantao GuDepartment of Electronic Engineering, Tsinghua UniversityDirección de correo verificada de tsinghua.edu.cn

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Madeleine Udell

Assistant Professor, Management Science and Engineering, Stanford University

Dirección de correo verificada de stanford.edu - Página principal

Optimization Machine Learning


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Generalized low rank models M Udell, C Horn, R Zadeh, S Boyd Foundations and Trends in Machine Learning 9 (1), 2016	445	2016
Fairness under unawareness: Assessing disparity when protected class is unobserved J Chen, N Kallus, X Mao, G Svacha, M Udell Proceedings of the conference on fairness, accountability, and transparency …, 2019	319	2019
Why are big data matrices approximately low rank? M Udell, A Townsend SIAM Journal on Mathematics of Data Science 1 (1), 144-160, 2019	288	2019
Practical sketching algorithms for low-rank matrix approximation JA Tropp, A Yurtsever, M Udell, V Cevher SIAM Journal on Matrix Analysis and Applications 38 (4), 1454-1485, 2017	216	2017
Convex optimization in Julia M Udell, K Mohan, D Zeng, J Hong, S Diamond, S Boyd 2014 First Workshop for High Performance Technical Computing in Dynamic …, 2014	195	2014
OBOE: Collaborative filtering for AutoML model selection C Yang, Y Akimoto, DW Kim, M Udell Proceedings of the 25th ACM SIGKDD international conference on knowledge …, 2019	154	2019
Scalable semidefinite programming A Yurtsever, JA Tropp, O Fercoq, M Udell, V Cevher SIAM Journal on Mathematics of Data Science 3 (1), 171-200, 2021	136	2021
Sketchy decisions: Convex low-rank matrix optimization with optimal storage A Yurtsever, M Udell, J Tropp, V Cevher Artificial intelligence and statistics, 1188-1196, 2017	118	2017
Streaming low-rank matrix approximation with an application to scientific simulation JA Tropp, A Yurtsever, M Udell, V Cevher SIAM Journal on Scientific Computing 41 (4), A2430-A2463, 2019	100	2019
Low-rank tucker approximation of a tensor from streaming data Y Sun, Y Guo, C Luo, J Tropp, M Udell SIAM Journal on Mathematics of Data Science 2 (4), 1123-1150, 2020	88	2020
Learning to solve combinatorial optimization problems on real-world graphs in linear time I Drori, A Kharkar, WR Sickinger, B Kates, Q Ma, S Ge, E Dolev, B Dietrich, ... 2020 19th IEEE International Conference on Machine Learning and Applications …, 2020	85	2020
Why should you trust my explanation?” Understanding uncertainty in lime explanations Y Zhang, K Song, Y Sun, S Tan, M Udell arXiv preprint arXiv:1904.12991, 2019	83	2019
Fixed-rank approximation of a positive-semidefinite matrix from streaming data JA Tropp, A Yurtsever, M Udell, V Cevher Advances in Neural Information Processing Systems 30, 2017	78	2017
Causal inference with noisy and missing covariates via matrix factorization N Kallus, X Mao, M Udell Advances in neural information processing systems 31, 2018	76	2018
Maximizing a sum of sigmoids M Udell, S Boyd	74	2013
Factor group-sparse regularization for efficient low-rank matrix recovery J Fan, L Ding, Y Chen, M Udell Advances in neural information processing Systems 32, 2019	72	2019
Why should you trust my explanation? Y Zhang, K Song, Y Sun, S Tan, M Udell Understanding uncertainty in LIME explanations 4, 2019	71	2019
Disciplined multi-convex programming X Shen, S Diamond, M Udell, Y Gu, S Boyd 2017 29th Chinese control and decision conference (CCDC), 895-900, 2017	59	2017
Bounding duality gap for separable problems with linear constraints M Udell, S Boyd Computational Optimization and Applications 64 (2), 355-378, 2016	57*	2016
Missing value imputation for mixed data via gaussian copula Y Zhao, M Udell Proceedings of the 26th ACM SIGKDD international conference on knowledge …, 2020	51	2020

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