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2020 – today
- 2024
[c18]Ali Dadras, Sourasekhar Banerjee, Karthik Prakhya, Alp Yurtsever:
Federated Frank-Wolfe Algorithm. ECML/PKDD (3) 2024: 58-75- [i11]Sourasekhar Banerjee, Ali Dadras, Alp Yurtsever, Monowar H. Bhuyan:
Personalized Multi-tier Federated Learning. CoRR abs/2407.14251 (2024) - [i10]Ali Dadras, Sourasekhar Banerjee, Karthik Prakhya, Alp Yurtsever:
Federated Frank-Wolfe Algorithm. CoRR abs/2408.10090 (2024) - 2023
- [c17]Hoomaan Maskan, Konstantinos Zygalakis, Alp Yurtsever:
A Variational Perspective on High-Resolution ODEs. NeurIPS 2023 - [i9]Hoomaan Maskan, Konstantinos C. Zygalakis, Alp Yurtsever:
A Variational Perspective on High-Resolution ODEs. CoRR abs/2311.02002 (2023) - 2022
- [c16]Gideon Dresdner, Maria-Luiza Vladarean, Gunnar Rätsch, Francesco Locatello, Volkan Cevher
, Alp Yurtsever:
Faster One-Sample Stochastic Conditional Gradient Method for Composite Convex Minimization. AISTATS 2022: 8439-8457 - [c15]Alp Yurtsever, Tolga Birdal, Vladislav Golyanik:
Q-FW: A Hybrid Classical-Quantum Frank-Wolfe for Quadratic Binary Optimization. ECCV (23) 2022: 352-369 - [c14]Alp Yurtsever, Suvrit Sra:
CCCP is Frank-Wolfe in disguise. NeurIPS 2022 - [i8]Gideon Dresdner, Maria-Luiza Vladarean, Gunnar Rätsch, Francesco Locatello, Volkan Cevher, Alp Yurtsever:
Faster One-Sample Stochastic Conditional Gradient Method for Composite Convex Minimization. CoRR abs/2202.13212 (2022) - [i7]Alp Yurtsever, Tolga Birdal, Vladislav Golyanik:
Q-FW: A Hybrid Classical-Quantum Frank-Wolfe for Quadratic Binary Optimization. CoRR abs/2203.12633 (2022) - 2021
- [j5]Lijun Ding, Alp Yurtsever, Volkan Cevher, Joel A. Tropp, Madeleine Udell:
An Optimal-Storage Approach to Semidefinite Programming Using Approximate Complementarity. SIAM J. Optim. 31(4): 2695-2725 (2021) - [j4]Alp Yurtsever, Joel A. Tropp, Olivier Fercoq, Madeleine Udell, Volkan Cevher:
Scalable Semidefinite Programming. SIAM J. Math. Data Sci. 3(1): 171-200 (2021) - [c13]Alp Yurtsever, Varun Mangalick, Suvrit Sra:
Three Operator Splitting with a Nonconvex Loss Function. ICML 2021: 12267-12277 - [c12]Alp Yurtsever, Alex Gu, Suvrit Sra:
Three Operator Splitting with Subgradients, Stochastic Gradients, and Adaptive Learning Rates. NeurIPS 2021: 19743-19756
2010 – 2019
- 2019
- [b1]Alp Yurtsever:
Scalable Convex Optimization Methods for Semidefinite Programming. EPFL, Switzerland, 2019 - [j3]Joel A. Tropp, Alp Yurtsever, Madeleine Udell, Volkan Cevher:
Streaming Low-Rank Matrix Approximation with an Application to Scientific Simulation. SIAM J. Sci. Comput. 41(4): A2430-A2463 (2019) - [c11]Alp Yurtsever, Olivier Fercoq, Volkan Cevher:
A Conditional-Gradient-Based Augmented Lagrangian Framework. ICML 2019: 7272-7281 - [c10]Alp Yurtsever, Suvrit Sra, Volkan Cevher:
Conditional Gradient Methods via Stochastic Path-Integrated Differential Estimator. ICML 2019: 7282-7291 - [c9]Francesco Locatello, Alp Yurtsever, Olivier Fercoq, Volkan Cevher:
Stochastic Frank-Wolfe for Composite Convex Minimization. NeurIPS 2019: 14246-14256 - [i6]Francesco Locatello, Alp Yurtsever, Olivier Fercoq, Volkan Cevher:
Stochastic Conditional Gradient Method for Composite Convex Minimization. CoRR abs/1901.10348 (2019) - [i5]Lijun Ding, Alp Yurtsever, Volkan Cevher, Joel A. Tropp, Madeleine Udell:
An Optimal-Storage Approach to Semidefinite Programming using Approximate Complementarity. CoRR abs/1902.03373 (2019) - [i4]Joel A. Tropp, Alp Yurtsever, Madeleine Udell, Volkan Cevher:
Streaming Low-Rank Matrix Approximation with an Application to Scientific Simulation. CoRR abs/1902.08651 (2019) - 2018
- [j2]Ya-Ping Hsieh, Yu-Chun Kao, Rabeeh Karimi Mahabadi, Alp Yurtsever, Anastasios Kyrillidis, Volkan Cevher:
A Non-Euclidean Gradient Descent Framework for Non-Convex Matrix Factorization. IEEE Trans. Signal Process. 66(22): 5917-5926 (2018) - [c8]Alp Yurtsever, Olivier Fercoq, Francesco Locatello, Volkan Cevher:
A Conditional Gradient Framework for Composite Convex Minimization with Applications to Semidefinite Programming. ICML 2018: 5713-5722 - [c7]Kfir Yehuda Levy, Alp Yurtsever, Volkan Cevher:
Online Adaptive Methods, Universality and Acceleration. NeurIPS 2018: 6501-6510 - [i3]Kfir Y. Levy, Alp Yurtsever, Volkan Cevher:
Online Adaptive Methods, Universality and Acceleration. CoRR abs/1809.02864 (2018) - 2017
- [j1]Joel A. Tropp, Alp Yurtsever, Madeleine Udell, Volkan Cevher:
Practical Sketching Algorithms for Low-Rank Matrix Approximation. SIAM J. Matrix Anal. Appl. 38(4): 1454-1485 (2017) - [c6]Alp Yurtsever, Madeleine Udell, Joel A. Tropp, Volkan Cevher:
Sketchy Decisions: Convex Low-Rank Matrix Optimization with Optimal Storage. AISTATS 2017: 1188-1196 - [c5]Joel A. Tropp, Alp Yurtsever, Madeleine Udell, Volkan Cevher:
Fixed-Rank Approximation of a Positive-Semidefinite Matrix from Streaming Data. NIPS 2017: 1225-1234 - [i2]Joel A. Tropp, Alp Yurtsever, Madeleine Udell, Volkan Cevher:
Fixed-Rank Approximation of a Positive-Semidefinite Matrix from Streaming Data. CoRR abs/1706.05736 (2017) - 2016
- [c4]Gergely Ódor, Yen-Huan Li, Alp Yurtsever, Ya-Ping Hsieh, Quoc Tran-Dinh, Marwa El Halabi, Volkan Cevher:
Frank-Wolfe works for non-Lipschitz continuous gradient objectives: Scalable poisson phase retrieval. ICASSP 2016: 6230-6234 - [c3]Alp Yurtsever, Bang Công Vu, Volkan Cevher:
Stochastic Three-Composite Convex Minimization. NIPS 2016: 4322-4330 - [i1]Joel A. Tropp, Alp Yurtsever, Madeleine Udell, Volkan Cevher:
Randomized single-view algorithms for low-rank matrix approximation. CoRR abs/1609.00048 (2016) - 2015
- [c2]Alp Yurtsever, Ya-Ping Hsieh, Volkan Cevher:
Scalable convex methods for phase retrieval. CAMSAP 2015: 381-384 - [c1]Alp Yurtsever, Quoc Tran-Dinh, Volkan Cevher:
A Universal Primal-Dual Convex Optimization Framework. NIPS 2015: 3150-3158
Coauthor Index
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