| 2025 | ICML | Stochastic Smoothed Primal-Dual Algorithms for Nonconvex Optimization with Linear Inequality Constraints. | Ruichuan Huang, Jiawei Zhang, Ahmet Alacaoglu |
| 2024 | AISTATS | Complexity of Single Loop Algorithms for Nonlinear Programming with Stochastic Objective and Constraints. | Ahmet Alacaoglu, Stephen J. Wright |
| 2024 | ICLR | Variance Reduced Halpern Iteration for Finite-Sum Monotone Inclusions. | Xufeng Cai, Ahmet Alacaoglu, Jelena Diakonikolas |
| 2024 | ICML | Revisiting Inexact Fixed-Point Iterations for Min-Max Problems: Stochasticity and Structured Nonconvexity. | Ahmet Alacaoglu, Donghwan Kim, Stephen J. Wright |
| 2023 | ICML | Convergence of First-Order Methods for Constrained Nonconvex Optimization with Dependent Data. | Ahmet Alacaoglu, Hanbaek Lyu |
| 2022 | COLT | Stochastic Variance Reduction for Variational Inequality Methods. | Ahmet Alacaoglu, Yura Malitsky |
| 2022 | ICML | A Natural Actor-Critic Framework for Zero-Sum Markov Games. | Ahmet Alacaoglu, Luca Viano, Niao He, Volkan Cevher |
| 2020 | ICML | Random extrapolation for primal-dual coordinate descent. | Ahmet Alacaoglu, Olivier Fercoq, Volkan Cevher |
| 2020 | ICML | A new regret analysis for Adam-type algorithms. | Ahmet Alacaoglu, Yura Malitsky, Panayotis Mertikopoulos, Volkan Cevher |
| 2020 | ICML | Conditional gradient methods for stochastically constrained convex minimization. | Maria-Luiza Vladarean, Ahmet Alacaoglu, Ya-Ping Hsieh, Volkan Cevher |
| 2019 | ICML | Almost surely constrained convex optimization. | Olivier Fercoq, Ahmet Alacaoglu, Ion Necoara, Volkan Cevher |