A. Alacaoglu, D. Kim and S. J. Wright, "Extending the Reach of First-Order Algorithms for Nonconvex Min-Max Problems with Cohypomonotonicity", arXiv:2402.05071, 2024
A. Alacaoglu, V. Cevher and S. J. Wright, "On the Complexity of a Practical Primal-Dual Coordinate Method", arXiv:2201.07684, 2022
X. Cai, A. Alacaoglu, J. Diakonikolas, "Variance Reduced Halpern Iteration for Finite-Sum Monotone Inclusions", International Conference on Learning Representations (ICLR), 2024
A. Alacaoglu and S. J. Wright, "Complexity of Single Loop Algorithms for Nonlinear Programming with Stochastic Objective and Constraints", International Conference on Artificial Intelligence and Statistics (AISTATS), 2024
A. Alacaoglu, A. Bohm and Y. Malitsky, "Beyond the Golden Ratio for Variational Inequality Algorithms", Journal of Machine Learning Research (JMLR), 2023
A. Alacaoglu, H. Lyu, "Convergence of First-Order Methods for Constrained Nonconvex Optimization with Dependent Data", International Conference on Machine Learning (ICML), 2023
A. Alacaoglu, Y. Malitsky. "Stochastic Variance Reduction for Variational Inequality Methods", Conference on Learning Theory (COLT), 2022
A. Alacaoglu, O. Fercoq, V. Cevher. "On the Convergence of Stochastic Primal-Dual Hybrid Gradient", SIAM Journal on Optimization (SIOPT), 2022
A. Alacaoglu, L. Viano, N. He, V. Cevher. "A Natural Actor-Critic Framework for Zero-Sum Markov Games", International Conference on Machine Learning (ICML), 2022
A. Alacaoglu, Y. Malitsky, V. Cevher. "Convergence of Adaptive Algorithms for Constrained Weakly Convex Optimization", Advances in Neural Information Processing Systems (NeurIPS), 2021
A. Alacaoglu, Y. Malitsky, V. Cevher. "Forward-Reflected-Backward Method with Variance Reduction", Computational Optimization and Applications (COAP), 2021
A. Alacaoglu, O. Fercoq, V. Cevher. "Random Extrapolation for Primal-Dual Coordinate Descent", International Conference on Machine Learning (ICML), 2020
A. Alacaoglu, Y. Malitsky, P. Mertikopoulos, V. Cevher. "A New Regret Analysis for Adam-type Algorithms", International Conference on Machine Learning (ICML), 2020
M.-L. Vladarean, A. Alacaoglu, Y.-P. Hsieh, V. Cevher. "Conditional gradient methods for stochastically constrained convex minimization", International Conference on Machine Learning (ICML), 2020
M. F. Sahin, A. Eftekhari, A. Alacaoglu, F. Latorre, V. Cevher. "An Inexact Augmented Lagrangian Framework for Nonconvex Optimization with Nonlinear Constraints", Advances in Neural Information Processing Systems (NeurIPS), 2019
O. Fercoq, A. Alacaoglu, I. Necoara, V. Cevher. "Almost Surely Constrained Convex Optimization", International Conference on Machine Learning (ICML), 2019
Q. Tran-Dinh, A. Alacaoglu, O. Fercoq, V. Cevher. "An Adaptive Primal-Dual Framework for Nonsmooth Convex Minimization", Mathematical Programming Computation, 2019
A. A. Ozaslan, A. Alacaoglu, O. B. Demirel, T. Cukur, E. U. Saritas. "Fully Automated Gridding Reconstruction for Non-Cartesian X-space Magnetic Particle Imaging", Physics in Medicine & Biology, 2019
A. Alacaoglu, Q. Tran-Dinh, O. Fercoq, V. Cevher. "Smooth Primal-Dual Coordinate Descent Algorithms for Nonsmooth Convex Optimization", Advances in Neural Information Processing Systems (NeurIPS), 2017