Artikler med krav om offentlig adgang - Madeleine UdellFå flere oplysninger
Tilgængelige et sted: 42
Generalized low rank models
M Udell, C Horn, R Zadeh, S Boyd
Foundations and Trends in Machine Learning 9 (1), 2016
Krav: US National Science Foundation
Why are big data matrices approximately low rank?
M Udell, A Townsend
SIAM Journal on Mathematics of Data Science 1 (1), 144-160, 2019
Krav: US National Science Foundation, US Department of Defense
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
Krav: Swiss National Science Foundation, US Department of Defense, Gordon and …
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
Krav: US National Science Foundation, Swiss National Science Foundation, US …
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
Krav: US Department of Defense
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
Krav: Swiss National Science Foundation, US Department of Defense, Gordon and …
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
Krav: Swiss National Science Foundation, US Department of Defense, US National …
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
Krav: US National Science Foundation, US Department of Defense
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
Krav: Swiss National Science Foundation, US Department of Defense, Gordon and …
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
Krav: US National Science Foundation, US Department of Defense
Causal inference with noisy and missing covariates via matrix factorization
N Kallus, X Mao, M Udell
Advances in neural information processing systems 31, 2018
Krav: US National Science Foundation, US Department of Defense
Missing value imputation for mixed data via gaussian copula
Y Zhao, M Udell
Proceedings of the 26th ACM SIGKDD international conference on knowledge …, 2020
Krav: US National Science Foundation, US Department of Defense, Canadian …
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
Krav: US National Science Foundation, US Department of Defense, National Natural …
Bounding duality gap for separable problems with linear constraints
M Udell, S Boyd
Computational Optimization and Applications 64 (2), 355-378, 2016
Krav: US National Science Foundation
Randomized nyström preconditioning
Z Frangella, JA Tropp, M Udell
SIAM Journal on Matrix Analysis and Applications 44 (2), 718-752, 2023
Krav: US National Science Foundation, US Department of Defense
Online high rank matrix completion
J Fan, M Udell
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
Krav: US Department of Defense
An optimal-storage approach to semidefinite programming using approximate complementarity
L Ding, A Yurtsever, V Cevher, JA Tropp, M Udell
SIAM Journal on Optimization 31 (4), 2695-2725, 2021
Krav: US National Science Foundation, Swiss National Science Foundation, US …
Polynomial matrix completion for missing data imputation and transductive learning
J Fan, Y Zhang, M Udell
Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 3842-3849, 2020
Krav: US National Science Foundation, US Department of Defense
Automl pipeline selection: Efficiently navigating the combinatorial space
C Yang, J Fan, Z Wu, M Udell
proceedings of the 26th ACM SIGKDD international conference on knowledge …, 2020
Krav: US National Science Foundation, US Department of Defense, Canadian …
Discovering patient phenotypes using generalized low rank models
A Schuler, V Liu, J Wan, A Callahan, M Udell, DE Stark, NH Shah
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing 21, 144, 2016
Krav: US National Institutes of Health
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