Ahmet Alacaoglu

35 papers A* 12A 1Journal 20Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Convergence Rate of the Last Iterate of Stochastic Proximal Algorithms. CoRR Kevin Kurian Thomas Vaidyan, Michael P. Friedlander, Ahmet Alacaoglu
2026	J	`jnl`	Solving Stochastic Variational Inequalities without the Bounded Variance Assumption. CoRR Ahmet Alacaoglu, Jun-Hyun Kim
2025	J	`jnl`	Decentralized Optimization with Topology-Independent Communication. CoRR Ying Lin, Yao Kuang, Ahmet Alacaoglu, Michael P. Friedlander
2025	A*	`conf`	Stochastic Smoothed Primal-Dual Algorithms for Nonconvex Optimization with Linear Inequality Constraints. ICML Ruichuan Huang, Jiawei Zhang, Ahmet Alacaoglu
2025	J	`jnl`	Stochastic Smoothed Primal-Dual Algorithms for Nonconvex Optimization with Linear Inequality Constraints. CoRR Ruichuan Huang, Jiawei Zhang, Ahmet Alacaoglu
2025	J	`jnl`	Towards Weaker Variance Assumptions for Stochastic Optimization. CoRR Ahmet Alacaoglu, Yura Malitsky, Stephen J. Wright
2024	A	`conf`	Complexity of Single Loop Algorithms for Nonlinear Programming with Stochastic Objective and Constraints. AISTATS Ahmet Alacaoglu, Stephen J. Wright
2024	J	`jnl`	Extending the Reach of First-Order Algorithms for Nonconvex Min-Max Problems with Cohypomonotonicity. CoRR Ahmet Alacaoglu, Donghwan Kim, Stephen J. Wright
2024	A*	`conf`	Revisiting Inexact Fixed-Point Iterations for Min-Max Problems: Stochasticity and Structured Nonconvexity. ICML Ahmet Alacaoglu, Donghwan Kim, Stephen J. Wright
2024	A*	`conf`	Variance Reduced Halpern Iteration for Finite-Sum Monotone Inclusions. ICLR Xufeng Cai, Ahmet Alacaoglu, Jelena Diakonikolas
2023	J	`jnl`	Beyond the Golden Ratio for Variational Inequality Algorithms. J. Mach. Learn. Res. Ahmet Alacaoglu, Axel Böhm, Yura Malitsky
2023	J	`jnl`	Complexity of Single Loop Algorithms for Nonlinear Programming with Stochastic Objective and Constraints. CoRR Ahmet Alacaoglu, Stephen J. Wright
2023	A*	`conf`	Convergence of First-Order Methods for Constrained Nonconvex Optimization with Dependent Data. ICML Ahmet Alacaoglu, Hanbaek Lyu
2023	J	`jnl`	Variance Reduced Halpern Iteration for Finite-Sum Monotone Inclusions. CoRR Xufeng Cai, Ahmet Alacaoglu, Jelena Diakonikolas
2022	A*	`conf`	A Natural Actor-Critic Framework for Zero-Sum Markov Games. ICML Ahmet Alacaoglu, Luca Viano, Niao He, Volkan Cevher
2022	J	`jnl`	Beyond the Golden Ratio for Variational Inequality Algorithms. CoRR Ahmet Alacaoglu, Axel Böhm, Yura Malitsky
2022	J	`jnl`	Convergence and Complexity of Stochastic Subgradient Methods with Dependent Data for Nonconvex Optimization. CoRR Ahmet Alacaoglu, Hanbaek Lyu
2022	J	`jnl`	On the Complexity of a Practical Primal-Dual Coordinate Method. CoRR Ahmet Alacaoglu, Volkan Cevher, Stephen J. Wright
2022	J	`jnl`	On the Convergence of Stochastic Primal-Dual Hybrid Gradient. SIAM J. Optim. Ahmet Alacaoglu, Olivier Fercoq, Volkan Cevher
2022	A*	`conf`	Stochastic Variance Reduction for Variational Inequality Methods. COLT Ahmet Alacaoglu, Yura Malitsky
2021	—	`—`	Adaptation in Stochastic Algorithms: From Nonsmooth Optimization to Min-Max Problems and Beyond. Ahmet Alacaoglu
2021	A*	`conf`	Convergence of adaptive algorithms for constrained weakly convex optimization. NeurIPS Ahmet Alacaoglu, Yura Malitsky, Volkan Cevher
2021	J	`jnl`	Forward-reflected-backward method with variance reduction. Comput. Optim. Appl. Ahmet Alacaoglu, Yura Malitsky, Volkan Cevher
2021	J	`jnl`	Stochastic Variance Reduction for Variational Inequality Methods. CoRR Ahmet Alacaoglu, Yura Malitsky
2020	A*	`conf`	A new regret analysis for Adam-type algorithms. ICML Ahmet Alacaoglu, Yura Malitsky, Panayotis Mertikopoulos, Volkan Cevher
2020	J	`jnl`	A new regret analysis for Adam-type algorithms. CoRR Ahmet Alacaoglu, Yura Malitsky, Panayotis Mertikopoulos, Volkan Cevher
2020	J	`jnl`	An adaptive primal-dual framework for nonsmooth convex minimization. Math. Program. Comput. Quoc Tran-Dinh, Ahmet Alacaoglu, Olivier Fercoq, Volkan Cevher
2020	A*	`conf`	Conditional gradient methods for stochastically constrained convex minimization. ICML Maria-Luiza Vladarean, Ahmet Alacaoglu, Ya-Ping Hsieh, Volkan Cevher
2020	J	`jnl`	Conditional gradient methods for stochastically constrained convex minimization. CoRR Maria-Luiza Vladarean, Ahmet Alacaoglu, Ya-Ping Hsieh, Volkan Cevher
2020	J	`jnl`	Convergence of adaptive algorithms for weakly convex constrained optimization. CoRR Ahmet Alacaoglu, Yura Malitsky, Volkan Cevher
2020	A*	`conf`	Random extrapolation for primal-dual coordinate descent. ICML Ahmet Alacaoglu, Olivier Fercoq, Volkan Cevher
2020	J	`jnl`	Random extrapolation for primal-dual coordinate descent. CoRR Ahmet Alacaoglu, Olivier Fercoq, Volkan Cevher
2019	A*	`conf`	Almost surely constrained convex optimization. ICML Olivier Fercoq, Ahmet Alacaoglu, Ion Necoara, Volkan Cevher
2019	A*	`conf`	An Inexact Augmented Lagrangian Framework for Nonconvex Optimization with Nonlinear Constraints. NeurIPS Mehmet Fatih Sahin, Armin Eftekhari, Ahmet Alacaoglu, Fabian Latorre, Volkan Cevher
2017	—	`conf`	Smooth Primal-Dual Coordinate Descent Algorithms for Nonsmooth Convex Optimization. NIPS Ahmet Alacaoglu, Quoc Tran-Dinh, Olivier Fercoq, Volkan Cevher