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Alp Yurtsever
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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
1512017
Sketchy decisions: Convex low-rank matrix optimization with optimal storage
A Yurtsever, M Udell, JA Tropp, V Cevher
International Conference on Artificial Intelligence and Statistics, 2017
982017
Online adaptive methods, universality and acceleration
KY Levy, A Yurtsever, V Cevher
Advances in Neural Information Processing Systems 31, 2018
712018
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
652021
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
642019
A universal primal-dual convex optimization framework
A Yurtsever, Q Tran-Dinh, V Cevher
arXiv preprint arXiv:1502.03123, 2015
602015
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
422017
Conditional gradient methods via stochastic path-integrated differential estimator
A Yurtsever, S Sra, V Cevher
International Conference on Machine Learning, 7282-7291, 2019
342019
Frank-Wolfe works for non-Lipschitz continuous gradient objectives: Scalable Poisson phase retrieval
G Odor, YH Li, A Yurtsever, YP Hsieh, Q Tran-Dinh, ME Halabi, V Cevher
IEEE International Conference on Acoustics, Speech and Signal Processing, 2016
332016
Stochastic three-composite convex minimization
A Yurtsever, BC Vu, V Cevher
Advances in Neural Information Processing Systems 29, 2016
332016
A Conditional Gradient Framework for Composite Convex Minimization with Applications to Semidefinite Programming
A Yurtsever, O Fercoq, F Locatello, V Cevher
International Conference on Machine Learning, 2018
322018
Randomized single-view algorithms for low-rank matrix approximation
JA Tropp, A Yurtsever, M Udell, V Cevher
California Institute of Technology, 2017
26*2017
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
232021
Stochastic Frank-Wolfe for composite convex minimization
F Locatello, A Yurtsever, O Fercoq, V Cevher
Advances in Neural Information Processing Systems 32, 2019
23*2019
A conditional-gradient-based augmented Lagrangian framework
A Yurtsever, O Fercoq, V Cevher
International Conference on Machine Learning, 7272-7281, 2019
212019
Stochastic forward Douglas-Rachford splitting method for monotone inclusions
V Cevher, BC Vũ, A Yurtsever
Large-Scale and Distributed Optimization, 149-179, 2018
212018
Scalable convex methods for phase retrieval
A Yurtsever, YP Hsieh, V Cevher
6th IEEE International Workshop on Computational Advances in Multi-Sensorá…, 2015
162015
A non-Euclidean gradient descent framework for non-convex matrix factorization
YP Hsieh, YC Kao, RK Mahabadi, A Yurtsever, A Kyrillidis, V Cevher
IEEE Transactions on Signal Processing 66 (22), 5917-5926, 2018
102018
Three Operator Splitting with a Nonconvex Loss Function
A Yurtsever, V Mangalick, S Sra
International Conference on Machine Learning, 12267-12277, 2021
22021
Inertial three-operator splitting method and applications
V Cevher, BC Vu, A Yurtsever
arXiv preprint arXiv:1904.12980, 2019
22019
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