Alp Yurtsever - RankMe

44 papers A* 10A 2Misc 1Journal 22Unranked 8

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Convex Formulations for Training Two-Layer ReLU Neural Networks. ICLR Karthik Prakhya, Tolga Birdal, Alp Yurtsever
2025	J	`jnl`	Implicit Bias in Matrix Factorization and its Explicit Realization in a New Architecture. CoRR Yikun Hou, Suvrit Sra, Alp Yurtsever
2025	—	`conf`	Improved Rates for Stochastic Variance-Reduced Difference-of-Convex Algorithms. CDC Anh Duc Nguyen, Alp Yurtsever, Suvrit Sra, Kim-Chuan Toh
2025	J	`jnl`	Personalized Federated Learning via Low-Rank Matrix Optimization. Trans. Mach. Learn. Res. Ali Dadras, Sebastian U. Stich, Alp Yurtsever
2025	—	`conf`	Provable Reduction in Communication Rounds for Non-Smooth Convex Federated Learning. MLSP Karlo Palenzuela, Ali Dadras, Alp Yurtsever, Tommy Löfstedt
2025	J	`jnl`	Provable Reduction in Communication Rounds for Non-Smooth Convex Federated Learning. CoRR Karlo Palenzuela, Ali Dadras, Alp Yurtsever, Tommy Löfstedt
2025	J	`jnl`	Randomized block coordinate DC algorithm. EURO J. Comput. Optim. Hoomaan Maskan, Paniz Halvachi, Suvrit Sra, Alp Yurtsever
2025	J	`jnl`	Revisiting Frank-Wolfe for Structured Nonconvex Optimization. CoRR Hoomaan Maskan, Yikun Hou, Suvrit Sra, Alp Yurtsever
2024	J	`jnl`	Convex Formulations for Training Two-Layer ReLU Neural Networks. CoRR Karthik Prakhya, Tolga Birdal, Alp Yurtsever
2024	—	`conf`	Federated Frank-Wolfe Algorithm. ECML/PKDD (3) Ali Dadras, Sourasekhar Banerjee, Karthik Prakhya, Alp Yurtsever
2024	J	`jnl`	Federated Frank-Wolfe Algorithm. CoRR Ali Dadras, Sourasekhar Banerjee, Karthik Prakhya, Alp Yurtsever
2024	J	`jnl`	Personalized Multi-tier Federated Learning. CoRR Sourasekhar Banerjee, Ali Dadras, Alp Yurtsever, Monowar Bhuyan
2023	A*	`conf`	A Variational Perspective on High-Resolution ODEs. NeurIPS Hoomaan Maskan, Konstantinos Zygalakis, Alp Yurtsever
2023	J	`jnl`	A Variational Perspective on High-Resolution ODEs. CoRR Hoomaan Maskan, Konstantinos C. Zygalakis, Alp Yurtsever
2022	A*	`conf`	CCCP is Frank-Wolfe in disguise. NeurIPS Alp Yurtsever, Suvrit Sra
2022	A	`conf`	Faster One-Sample Stochastic Conditional Gradient Method for Composite Convex Minimization. AISTATS Gideon Dresdner, Maria-Luiza Vladarean, Gunnar Rätsch, Francesco Locatello, Volkan Cevher, Alp Yurtsever
2022	J	`jnl`	Faster One-Sample Stochastic Conditional Gradient Method for Composite Convex Minimization. CoRR Gideon Dresdner, Maria-Luiza Vladarean, Gunnar Rätsch, Francesco Locatello, Volkan Cevher, Alp Yurtsever
2022	—	`conf`	Q-FW: A Hybrid Classical-Quantum Frank-Wolfe for Quadratic Binary Optimization. ECCV (23) Alp Yurtsever, Tolga Birdal, Vladislav Golyanik
2022	J	`jnl`	Q-FW: A Hybrid Classical-Quantum Frank-Wolfe for Quadratic Binary Optimization. CoRR Alp Yurtsever, Tolga Birdal, Vladislav Golyanik
2021	J	`jnl`	An Optimal-Storage Approach to Semidefinite Programming Using Approximate Complementarity. SIAM J. Optim. Lijun Ding, Alp Yurtsever, Volkan Cevher, Joel A. Tropp, Madeleine Udell
2021	J	`jnl`	Scalable Semidefinite Programming. SIAM J. Math. Data Sci. Alp Yurtsever, Joel A. Tropp, Olivier Fercoq, Madeleine Udell, Volkan Cevher
2021	A*	`conf`	Three Operator Splitting with Subgradients, Stochastic Gradients, and Adaptive Learning Rates. NeurIPS Alp Yurtsever, Alex Gu, Suvrit Sra
2021	A*	`conf`	Three Operator Splitting with a Nonconvex Loss Function. ICML Alp Yurtsever, Varun Mangalick, Suvrit Sra
2019	A*	`conf`	A Conditional-Gradient-Based Augmented Lagrangian Framework. ICML Alp Yurtsever, Olivier Fercoq, Volkan Cevher
2019	J	`jnl`	An Optimal-Storage Approach to Semidefinite Programming using Approximate Complementarity. CoRR Lijun Ding, Alp Yurtsever, Volkan Cevher, Joel A. Tropp, Madeleine Udell
2019	A*	`conf`	Conditional Gradient Methods via Stochastic Path-Integrated Differential Estimator. ICML Alp Yurtsever, Suvrit Sra, Volkan Cevher
2019	—	`—`	Scalable Convex Optimization Methods for Semidefinite Programming. Alp Yurtsever
2019	J	`jnl`	Stochastic Conditional Gradient Method for Composite Convex Minimization. CoRR Francesco Locatello, Alp Yurtsever, Olivier Fercoq, Volkan Cevher
2019	A*	`conf`	Stochastic Frank-Wolfe for Composite Convex Minimization. NeurIPS Francesco Locatello, Alp Yurtsever, Olivier Fercoq, Volkan Cevher
2019	J	`jnl`	Streaming Low-Rank Matrix Approximation with an Application to Scientific Simulation. CoRR Joel A. Tropp, Alp Yurtsever, Madeleine Udell, Volkan Cevher
2019	J	`jnl`	Streaming Low-Rank Matrix Approximation with an Application to Scientific Simulation. SIAM J. Sci. Comput. Joel A. Tropp, Alp Yurtsever, Madeleine Udell, Volkan Cevher
2018	A*	`conf`	A Conditional Gradient Framework for Composite Convex Minimization with Applications to Semidefinite Programming. ICML Alp Yurtsever, Olivier Fercoq, Francesco Locatello, Volkan Cevher
2018	J	`jnl`	A Non-Euclidean Gradient Descent Framework for Non-Convex Matrix Factorization. IEEE Trans. Signal Process. Ya-Ping Hsieh, Yu-Chun Kao, Rabeeh Karimi Mahabadi, Alp Yurtsever, Anastasios Kyrillidis, Volkan Cevher
2018	A*	`conf`	Online Adaptive Methods, Universality and Acceleration. NeurIPS Kfir Yehuda Levy, Alp Yurtsever, Volkan Cevher
2018	J	`jnl`	Online Adaptive Methods, Universality and Acceleration. CoRR Kfir Y. Levy, Alp Yurtsever, Volkan Cevher
2017	—	`conf`	Fixed-Rank Approximation of a Positive-Semidefinite Matrix from Streaming Data. NIPS Joel A. Tropp, Alp Yurtsever, Madeleine Udell, Volkan Cevher
2017	J	`jnl`	Fixed-Rank Approximation of a Positive-Semidefinite Matrix from Streaming Data. CoRR Joel A. Tropp, Alp Yurtsever, Madeleine Udell, Volkan Cevher
2017	J	`jnl`	Practical Sketching Algorithms for Low-Rank Matrix Approximation. SIAM J. Matrix Anal. Appl. Joel A. Tropp, Alp Yurtsever, Madeleine Udell, Volkan Cevher
2017	A	`conf`	Sketchy Decisions: Convex Low-Rank Matrix Optimization with Optimal Storage. AISTATS Alp Yurtsever, Madeleine Udell, Joel A. Tropp, Volkan Cevher
2016	Misc	`conf`	Frank-Wolfe works for non-Lipschitz continuous gradient objectives: Scalable poisson phase retrieval. ICASSP Gergely Ódor, Yen-Huan Li, Alp Yurtsever, Ya-Ping Hsieh, Quoc Tran-Dinh, Marwa El Halabi, Volkan Cevher
2016	J	`jnl`	Randomized single-view algorithms for low-rank matrix approximation. CoRR Joel A. Tropp, Alp Yurtsever, Madeleine Udell, Volkan Cevher
2016	—	`conf`	Stochastic Three-Composite Convex Minimization. NIPS Alp Yurtsever, Bang Công Vu, Volkan Cevher
2015	—	`conf`	A Universal Primal-Dual Convex Optimization Framework. NIPS Alp Yurtsever, Quoc Tran-Dinh, Volkan Cevher
2015	—	`conf`	Scalable convex methods for phase retrieval. CAMSAP Alp Yurtsever, Ya-Ping Hsieh, Volkan Cevher