Alp Yurtsever
Alp Yurtsever
Postdoctoral fellow, Laboratory for Information and Decision Systems, MIT
Verifierad e-postadress på mit.edu - Startsida
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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
652017
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
602017
A universal primal-dual convex optimization framework
A Yurtsever, QT Dinh, V Cevher
Advances in Neural Information Processing Systems, 3150-3158, 2015
482015
Online adaptive methods, universality and acceleration
KY Levy, A Yurtsever, V Cevher
Advances in Neural Information Processing Systems, 6500-6509, 2018
212018
Randomized single-view algorithms for low-rank matrix approximation
JA Tropp, A Yurtsever, M Udell, V Cevher
California Institute of Technology, 2017
202017
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, 1225-1234, 2017
192017
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
18*2019
Stochastic three-composite convex minimization
A Yurtsever, BC Vu, V Cevher
Advances in Neural Information Processing Systems, 4329-4337, 2016
182016
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
17*2016
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
132018
An optimal-storage approach to semidefinite programming using approximate complementarity
L Ding, A Yurtsever, V Cevher, JA Tropp, M Udell
arXiv preprint arXiv:1902.03373, 2019
102019
Scalable convex methods for phase retrieval
A Yurtsever, YP Hsieh, V Cevher
6th IEEE International Workshop on Computational Advances in Multi-Sensor …, 2015
102015
Conditional gradient methods via stochastic path-integrated differential estimator
A Yurtsever, S Sra, V Cevher
Proceedings of the International Conference on Machine Learning-ICML 2019, 2019
92019
Stochastic forward Douglas-Rachford splitting method for monotone inclusions
V Cevher, BC Vũ, A Yurtsever
Large-Scale and Distributed Optimization, 149-179, 2018
92018
A conditional gradient-based augmented lagrangian framework
A Yurtsever, O Fercoq, V Cevher
arXiv preprint arXiv:1901.04013, 2019
82019
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
42018
Scalable semidefinite programming
A Yurtsever, JA Tropp, O Fercoq, M Udell, V Cevher
arXiv preprint arXiv:1912.02949, 2019
22019
Stochastic Frank-Wolfe for Composite Convex Minimization
F Locatello, A Yurtsever, O Fercoq, V Cevher
Advances in Neural Information Processing Systems, 14269-14279, 2019
12019
Inertial Three-Operator Splitting Method and Applications
V Cevher, BC Vu, A Yurtsever
arXiv preprint arXiv:1904.12980, 2019
2019
Scalable Convex Optimization Methods for Semidefinite Programming
A Yurtsever
EPFL, 2019
2019
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Artiklar 1–20