| 2025 | ICLR | Convex Formulations for Training Two-Layer ReLU Neural Networks. | Karthik Prakhya, Tolga Birdal, Alp Yurtsever |
| 2022 | AISTATS | Faster One-Sample Stochastic Conditional Gradient Method for Composite Convex Minimization. | Gideon Dresdner, Maria-Luiza Vladarean, Gunnar Rtsch, Francesco Locatello, Volkan Cevher, Alp Yurtsever |
| 2022 | ECCV | Q-FW: A Hybrid Classical-Quantum Frank-Wolfe for Quadratic Binary Optimization. | Alp Yurtsever, Tolga Birdal, Vladislav Golyanik |
| 2021 | ICML | Three Operator Splitting with a Nonconvex Loss Function. | Alp Yurtsever, Varun Mangalick, Suvrit Sra |
| 2019 | ICML | A Conditional-Gradient-Based Augmented Lagrangian Framework. | Alp Yurtsever, Olivier Fercoq, Volkan Cevher |
| 2019 | ICML | Conditional Gradient Methods via Stochastic Path-Integrated Differential Estimator. | Alp Yurtsever, Suvrit Sra, Volkan Cevher |
| 2018 | ICML | A Conditional Gradient Framework for Composite Convex Minimization with Applications to Semidefinite Programming. | Alp Yurtsever, Olivier Fercoq, Francesco Locatello, Volkan Cevher |
| 2017 | AISTATS | Sketchy Decisions: Convex Low-Rank Matrix Optimization with Optimal Storage. | Alp Yurtsever, Madeleine Udell, Joel A. Tropp, Volkan Cevher |
| 2016 | ICASSP | Frank-Wolfe works for non-Lipschitz continuous gradient objectives: Scalable poisson phase retrieval. | Gergely dor, Yen-Huan Li, Alp Yurtsever, Ya-Ping Hsieh, Quoc Tran-Dinh, Marwa El Halabi, Volkan Cevher |