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Madeleine Udell
Madeleine Udell
Assistant Professor, Management Science and Engineering, Stanford University
Bestätigte E-Mail-Adresse bei stanford.edu - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Generalized low rank models
M Udell, C Horn, R Zadeh, S Boyd
Foundations and Trends in Machine Learning 9 (1), 2016
4672016
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
3702019
Why are big data matrices approximately low rank?
M Udell, A Townsend
SIAM Journal on Mathematics of Data Science 1 (1), 144-160, 2019
3402019
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
2582017
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
2262014
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
179*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
1732021
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
1622019
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
1232017
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
1162020
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
1132019
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
1092020
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
932017
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
912019
Causal inference with noisy and missing covariates via matrix factorization
N Kallus, X Mao, M Udell
Advances in neural information processing systems 31, 2018
812018
Maximizing a sum of sigmoids
M Udell, S Boyd
792013
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
632017
Missing value imputation for mixed data via gaussian copula
Y Zhao, M Udell
Proceedings of the 26th ACM SIGKDD international conference on knowledge …, 2020
622020
Bounding duality gap for separable problems with linear constraints
M Udell, S Boyd
Computational Optimization and Applications 64 (2), 355-378, 2016
60*2016
Randomized nyström preconditioning
Z Frangella, JA Tropp, M Udell
SIAM Journal on Matrix Analysis and Applications 44 (2), 718-752, 2023
552023
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