Madeleine Udell

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Joel A. TroppSteele Family Professor of Applied & Computational Mathematics, CaltechVerified email at caltech.edu
Volkan CevherAssociate Professor, LIONS, EPFL. Amazon Scholar (AGI Foundations).Verified email at epfl.ch
Alp YurtseverUmeå UniversityVerified email at umu.se
Stephen BoydProfessor of Electrical Engineering, Computer Science, and Management Science, StanfordVerified email at stanford.edu
Jicong FanThe Chinese University of Hong Kong, ShenzhenVerified email at cuhk.edu.cn
Chengrun YangResearch Scientist, Google DeepMindVerified email at google.com
Nathan KallusCornell UniversityVerified email at cornell.edu
Lijun DingUniversity of California San DiegoVerified email at ucsd.edu
Iddo DroriAssociate Professor, Computer Science, Boston University (practice), Columbia University (adjunct)Verified email at cs.columbia.edu
Yiming SunCornell University, Stanford UniversityVerified email at cornell.edu
Yuxuan ZhaoPhD Candidate in Statistics, Cornell UniversityVerified email at cornell.edu
Alex TownsendCornell UniversityVerified email at cornell.edu
Xiaojie Mao (毛小介)Associate Professor, School of Economics and Management, Tsinghua UniversityVerified email at sem.tsinghua.edu.cn
Steven DiamondGridmaticVerified email at cs.stanford.edu
Yang GuoUniversity of Wisconsin, MadisonVerified email at cs.wisc.edu
Reza Bosagh ZadehStanford and MatroidVerified email at stanford.edu
Olivier FercoqTelecom ParisVerified email at telecom-paristech.fr
Nigam ShahProfessor of Medicine, and Biomedical Data Science, Stanford UniversityVerified email at stanford.edu
Damek DavisVisiting Associate Professor, Statistics and Data Science, University of PennsylvaniaVerified email at cornell.edu
Xinyue ShenResearcher, MetaVerified email at meta.com

Madeleine Udell

Assistant Professor, Management Science and Engineering, Stanford University

Verified email at stanford.edu - Homepage

Optimization Machine Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Generalized low rank models M Udell, C Horn, R Zadeh, S Boyd Foundations and Trends in Machine Learning 9 (1), 2016	461	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	365	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	333	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	255	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	218	2014
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	172*	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	166	2021
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	161	2019
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	123	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	113	2019
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	108	2020
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	105	2020
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	92	2017
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	88	2019
Causal inference with noisy and missing covariates via matrix factorization N Kallus, X Mao, M Udell Advances in neural information processing systems 31, 2018	79	2018
Maximizing a sum of sigmoids M Udell, S Boyd	79	2013
Missing value imputation for mixed data via gaussian copula Y Zhao, M Udell Proceedings of the 26th ACM SIGKDD international conference on knowledge …, 2020	61	2020
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	61	2017
Bounding duality gap for separable problems with linear constraints M Udell, S Boyd Computational Optimization and Applications 64 (2), 355-378, 2016	60*	2016
Dynamic assortment personalization in high dimensions N Kallus, M Udell Operations Research 68 (4), 1020-1037, 2020	54	2020

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