A. Yurtsever

发表

Scalable convex methods for phase retrieval

Volkan Cevher, Alp Yurtsever, Ya-Ping Hsieh, 2015, 2015 IEEE 6th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP).

Scalable Semidefinite Programming

Volkan Cevher, Alp Yurtsever, Madeleine Udell, 2019, SIAM J. Math. Data Sci..

Practical Sketching Algorithms for Low-Rank Matrix Approximation

Volkan Cevher, Alp Yurtsever, Madeleine Udell, 2016, SIAM J. Matrix Anal. Appl..

A Non-Euclidean Gradient Descent Framework for Non-Convex Matrix Factorization

Volkan Cevher, Anastasios Kyrillidis, Alp Yurtsever, 2018, IEEE Transactions on Signal Processing.

Stochastic Three-Composite Convex Minimization

Volkan Cevher, Alp Yurtsever, Bang Công Vu, 2017, NIPS.

Stochastic Forward Douglas-Rachford Splitting for Monotone Inclusions

A. Yurtsever, V. Cevher, Cong Bang Vu, 2016 .

An Optimal-Storage Approach to Semidefinite Programming using Approximate Complementarity pdf

Volkan Cevher, Alp Yurtsever, Madeleine Udell, 2019, SIAM J. Optim..

Online Adaptive Methods, Universality and Acceleration

Volkan Cevher, Alp Yurtsever, Kfir Yehuda Levy, 2018, NeurIPS.

A Conditional Gradient Framework for Composite Convex Minimization with Applications to Semidefinite Programming

Volkan Cevher, Alp Yurtsever, Francesco Locatello, 2018, ICML.

Streaming Low-Rank Matrix Approximation with an Application to Scientific Simulation

Volkan Cevher, Alp Yurtsever, Madeleine Udell, 2019, SIAM J. Sci. Comput..

Frank-Wolfe works for non-Lipschitz continuous gradient objectives: Scalable poisson phase retrieval

Volkan Cevher, Alp Yurtsever, Ya-Ping Hsieh, 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Sketchy Decisions: Convex Low-Rank Matrix Optimization with Optimal Storage

Volkan Cevher, Alp Yurtsever, Madeleine Udell, 2017, AISTATS.

Scalable Convex Methods for Low-Rank Matrix Problems

A. Yurtsever, V. Cevher, Q. Tran-Dinh, 2017 .

CCCP is Frank-Wolfe in disguise

S. Sra, A. Yurtsever, 2022, 2206.12014.

CCCP is Frank-Wolfe in disguise

S. Sra, A. Yurtsever, 2022, NeurIPS.

Conditional Gradient Methods via Stochastic Path-Integrated Differential Estimator

Volkan Cevher, Suvrit Sra, Alp Yurtsever, 2019, ICML.

Inertial Three-Operator Splitting Method and Applications.

Volkan Cevher, Alp Yurtsever, Bang Cong Vu, 2019, 1904.12980.

A Conditional-Gradient-Based Augmented Lagrangian Framework

Volkan Cevher, Alp Yurtsever, Olivier Fercoq, 2019, ICML.

Scalable Semidefinite Programming

Volkan Cevher, Alp Yurtsever, Madeleine Udell, 2019, SIAM J. Math. Data Sci..

Technical Report No . 201 701 January 201 7 RANDOMIZED SINGLE-VIEW ALGORITHMS FOR LOW-RANK MATRIX APPROXIMATION pdf

Volkan Cevher, Alp Yurtsever, Madeleine Udell, 2016 .

On a nonlocal boundary value problem for semilinear hyperbolic-parabolic equations

Allaberen Ashyralyev, A. Yurtsever, A. Ashyralyev, 2001 .

Fixed-Rank Approximation of a Positive-Semidefinite Matrix from Streaming Data

Volkan Cevher, Alp Yurtsever, Madeleine Udell, 2017, NIPS.

Q-FW: A Hybrid Classical-Quantum Frank-Wolfe for Quadratic Binary Optimization

A. Yurtsever, Tolga Birdal, Vladislav Golyanik, 2022, ECCV.

Practical Sketching Algorithms for Low-Rank Matrix Approximation

J. Tropp, Madeleine Udell, A. Yurtsever, 2016, SIAM J. Matrix Anal. Appl..

Three Operator Splitting with Subgradients, Stochastic Gradients, and Adaptive Learning Rates

S. Sra, A. Yurtsever, Alex Gu, 2021, NeurIPS.

Universal Primal-Dual Proximal-Gradient Methods

A. Yurtsever, V. Cevher, Q. Tran-Dinh, 2015 .

A Universal Primal-Dual Convex Optimization Framework

Volkan Cevher, Alp Yurtsever, Quoc Tran-Dinh, 2015, NIPS.

Three Operator Splitting with a Nonconvex Loss Function

Suvrit Sra, Alp Yurtsever, Varun Mangalick, 2021, ICML.

Online Adaptive Methods, Universality and Acceleration

A. Yurtsever, V. Cevher, K. Levy, 2018, NeurIPS.

A Variational Perspective on High-Resolution ODEs

A. Yurtsever, K. C. Zygalakis, Hoomaan Maskan, 2023, Neural Information Processing Systems.