Alp Yurtsever

According to our database, Alp Yurtsever authored at least 28 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Convex Formulations for Training Two-Layer ReLU Neural Networks.

Karthik Prakhya, Tolga Birdal, Alp Yurtsever

CoRR, 2024

Personalized Multi-tier Federated Learning.

Sourasekhar Banerjee, Ali Dadras, Alp Yurtsever, Monowar H. Bhuyan

CoRR, 2024

Federated Frank-Wolfe Algorithm.

Ali Dadras, Sourasekhar Banerjee, Karthik Prakhya, Alp Yurtsever

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

2023

A Variational Perspective on High-Resolution ODEs.

Hoomaan Maskan, Konstantinos Zygalakis, Alp Yurtsever

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

CCCP is Frank-Wolfe in disguise.

Alp Yurtsever, Suvrit Sra

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

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

Alp Yurtsever, Tolga Birdal, Vladislav Golyanik

Proceedings of the Computer Vision - ECCV 2022, 2022

Faster One-Sample Stochastic Conditional Gradient Method for Composite Convex Minimization.

Gideon Dresdner, Maria-Luiza Vladarean, Gunnar Rätsch, Francesco Locatello, Volkan Cevher, Alp Yurtsever

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Scalable Semidefinite Programming.

Alp Yurtsever, Joel A. Tropp, Olivier Fercoq, Madeleine Udell, Volkan Cevher

SIAM J. Math. Data Sci., 2021

An Optimal-Storage Approach to Semidefinite Programming Using Approximate Complementarity.

Lijun Ding, Alp Yurtsever, Volkan Cevher, Joel A. Tropp, Madeleine Udell

SIAM J. Optim., 2021

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

Alp Yurtsever, Alex Gu, Suvrit Sra

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Three Operator Splitting with a Nonconvex Loss Function.

Alp Yurtsever, Varun Mangalick, Suvrit Sra

Proceedings of the 38th International Conference on Machine Learning, 2021

2019

Scalable Convex Optimization Methods for Semidefinite Programming.

Alp Yurtsever

PhD thesis, 2019

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

Joel A. Tropp, Alp Yurtsever, Madeleine Udell, Volkan Cevher

SIAM J. Sci. Comput., 2019

Stochastic Conditional Gradient Method for Composite Convex Minimization.

Francesco Locatello, Alp Yurtsever, Olivier Fercoq, Volkan Cevher

CoRR, 2019

Stochastic Frank-Wolfe for Composite Convex Minimization.

Francesco Locatello, Alp Yurtsever, Olivier Fercoq, Volkan Cevher

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Conditional Gradient Methods via Stochastic Path-Integrated Differential Estimator.

Alp Yurtsever, Suvrit Sra, Volkan Cevher

Proceedings of the 36th International Conference on Machine Learning, 2019

A Conditional-Gradient-Based Augmented Lagrangian Framework.

Alp Yurtsever, Olivier Fercoq, Volkan Cevher

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

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

Ya-Ping Hsieh, Yu-Chun Kao, Rabeeh Karimi Mahabadi, Alp Yurtsever, Anastasios Kyrillidis, Volkan Cevher

IEEE Trans. Signal Process., 2018

Online Adaptive Methods, Universality and Acceleration.

Kfir Yehuda Levy, Alp Yurtsever, Volkan Cevher

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

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

Alp Yurtsever, Olivier Fercoq, Francesco Locatello, Volkan Cevher

Proceedings of the 35th International Conference on Machine Learning, 2018

2017

Practical Sketching Algorithms for Low-Rank Matrix Approximation.

Joel A. Tropp, Alp Yurtsever, Madeleine Udell, Volkan Cevher

SIAM J. Matrix Anal. Appl., 2017

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

Joel A. Tropp, Alp Yurtsever, Madeleine Udell, Volkan Cevher

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

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

Alp Yurtsever, Madeleine Udell, Joel A. Tropp, Volkan Cevher

Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2016

Randomized single-view algorithms for low-rank matrix approximation.

Joel A. Tropp, Alp Yurtsever, Madeleine Udell, Volkan Cevher

CoRR, 2016

Stochastic Three-Composite Convex Minimization.

Alp Yurtsever, Bang Công Vu, Volkan Cevher

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

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

Gergely Ódor, Yen-Huan Li, Alp Yurtsever, Ya-Ping Hsieh, Quoc Tran-Dinh, Marwa El Halabi, Volkan Cevher

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015

A Universal Primal-Dual Convex Optimization Framework.

Alp Yurtsever, Quoc Tran-Dinh, Volkan Cevher

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Scalable convex methods for phase retrieval.

Alp Yurtsever, Ya-Ping Hsieh, Volkan Cevher

Proceedings of the 6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2015