Yurtsever, Alp

22 publications

ICLR 2025 Convex Formulations for Training Two-Layer ReLU Neural Networks Karthik Prakhya, Tolga Birdal, Alp Yurtsever

TMLR 2025 Personalized Federated Learning via Low-Rank Matrix Optimization Ali Dadras, Sebastian U Stich, Alp Yurtsever

NeurIPS 2025 Revisiting Frank-Wolfe for Structured Nonconvex Optimization Hoomaan Maskan, Yikun Hou, Suvrit Sra, Alp Yurtsever

ECML-PKDD 2024 Federated Frank-Wolfe Algorithm Ali Dadras, Sourasekhar Banerjee, Karthik Prakhya, Alp Yurtsever

NeurIPSW 2024 Personalized Federated Learning via Low-Rank Matrix Factorization Ali Dadras, Sebastian U Stich, Alp Yurtsever

NeurIPS 2023 A Variational Perspective on High-Resolution ODEs Hoomaan Maskan, Konstantinos Zygalakis, Alp Yurtsever

AISTATS 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

NeurIPS 2022 CCCP Is Frank-Wolfe in Disguise Alp Yurtsever, Suvrit Sra

NeurIPSW 2022 Federated Frank-Wolfe Algorithm Ali Dadras, Karthik Prakhya, Alp Yurtsever

NeurIPSW 2022 Personalized Multi-Tier Federated Learning Sourasekhar Banerjee, Alp Yurtsever, Monowar Bhuyan

ECCV 2022 Q-FW: A Hybrid Classical-Quantum Frank-Wolfe for Quadratic Binary Optimization Alp Yurtsever, Tolga Birdal, Vladislav Golyanik

NeurIPS 2021 Three Operator Splitting with Subgradients, Stochastic Gradients, and Adaptive Learning Rates Alp Yurtsever, Alex Gu, Suvrit Sra

ICML 2021 Three Operator Splitting with a Nonconvex Loss Function Alp Yurtsever, Varun Mangalick, Suvrit Sra

ICML 2019 A Conditional-Gradient-Based Augmented Lagrangian Framework Alp Yurtsever, Olivier Fercoq, Volkan Cevher

ICML 2019 Conditional Gradient Methods via Stochastic Path-Integrated Differential Estimator Alp Yurtsever, Suvrit Sra, Volkan Cevher

NeurIPS 2019 Stochastic Frank-Wolfe for Composite Convex Minimization Francesco Locatello, Alp Yurtsever, Olivier Fercoq, Volkan Cevher

ICML 2018 A Conditional Gradient Framework for Composite Convex Minimization with Applications to Semidefinite Programming Alp Yurtsever, Olivier Fercoq, Francesco Locatello, Volkan Cevher

NeurIPS 2018 Online Adaptive Methods, Universality and Acceleration Kfir Y. Levy, Alp Yurtsever, Volkan Cevher

NeurIPS 2017 Fixed-Rank Approximation of a Positive-Semidefinite Matrix from Streaming Data Joel A Tropp, Alp Yurtsever, Madeleine Udell, Volkan Cevher

AISTATS 2017 Sketchy Decisions: Convex Low-Rank Matrix Optimization with Optimal Storage Alp Yurtsever, Madeleine Udell, Joel A. Tropp, Volkan Cevher

NeurIPS 2016 Stochastic Three-Composite Convex Minimization Alp Yurtsever, Bang Cong Vu, Volkan Cevher

NeurIPS 2015 A Universal Primal-Dual Convex Optimization Framework Alp Yurtsever, Quoc Tran Dinh, Volkan Cevher