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Madeleine Udell
Madeleine Udell
Assistant Professor, Management Science and Engineering, Stanford University
Verified email at stanford.edu - Homepage
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
3562016
Why are big data matrices approximately low rank?
M Udell, A Townsend
SIAM Journal on Mathematics of Data Science 1 (1), 144-160, 2019
184*2019
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
1612014
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
1522019
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
1432017
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
1022019
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
952017
Maximizing a sum of sigmoids
M Udell, S Boyd
642013
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
612021
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
562019
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
522020
Bounding duality gap for separable problems with linear constraints
M Udell, S Boyd
Computational Optimization and Applications 64 (2), 355-378, 2016
52*2016
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
502017
Causal inference with noisy and missing covariates via matrix factorization
N Kallus, X Mao, M Udell
Advances in neural information processing systems 31, 2018
482018
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
402017
The sound of APALM clapping: Faster nonsmooth nonconvex optimization with stochastic asynchronous PALM
D Davis, B Edmunds, M Udell
Advances in Neural Information Processing Systems, 226-234, 2016
402016
Why should you trust my explanation?
Y Zhang, K Song, Y Sun, S Tan, M Udell
Understanding uncertainty in LIME explanations, 2019
392019
Dynamic assortment personalization in high dimensions
N Kallus, M Udell
arXiv preprint arXiv:1610.05604, 2016
372016
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
362020
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
312019
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