| An inexact augmented Lagrangian framework for nonconvex optimization with nonlinear constraints MF Sahin, A Eftekhari, A Alacaoglu, F Latorre, V Cevher Advances in Neural Information Processing Systems 32, 2019 | 69 | 2019 |
| Stochastic variance reduction for variational inequality methods A Alacaoglu, Y Malitsky Conference on Learning Theory, 778-816, 2022 | 62 | 2022 |
| A new regret analysis for Adam-type algorithms A Alacaoglu, Y Malitsky, P Mertikopoulos, V Cevher International conference on machine learning, 202-210, 2020 | 42 | 2020 |
| Fully automated gridding reconstruction for non-Cartesian x-space magnetic particle imaging AA Ozaslan, A Alacaoglu, OB Demirel, T Çukur, EU Saritas Physics in Medicine & Biology 64 (16), 165018, 2019 | 39 | 2019 |
| On the convergence of stochastic primal-dual hybrid gradient A Alacaoglu, O Fercoq, V Cevher SIAM Journal on Optimization 32 (2), 1288-1318, 2022 | 36 | 2022 |
| Smooth primal-dual coordinate descent algorithms for nonsmooth convex optimization A Alacaoglu, Q Tran-Dinh, O Fercoq, V Cevher Advances in Neural Information Processing Systems, 2017 | 34 | 2017 |
| Almost surely constrained convex optimization O Fercoq, A Alacaoglu, I Necoara, V Cevher International Conference on Machine Learning, 1910-1919, 2019 | 22 | 2019 |
| A natural actor-critic framework for zero-sum Markov games A Alacaoglu, L Viano, N He, V Cevher International Conference on Machine Learning, 307-366, 2022 | 19 | 2022 |
| Random extrapolation for primal-dual coordinate descent A Alacaoglu, O Fercoq, V Cevher International conference on machine learning, 191-201, 2020 | 19 | 2020 |
| An adaptive primal-dual framework for nonsmooth convex minimization Q Tran-Dinh, A Alacaoglu, O Fercoq, V Cevher Mathematical Programming Computation 12 (3), 451-491, 2020 | 18 | 2020 |
| Forward-reflected-backward method with variance reduction A Alacaoglu, Y Malitsky, V Cevher Computational optimization and applications 80 (2), 321-346, 2021 | 17 | 2021 |
| Convergence of adaptive algorithms for constrained weakly convex optimization A Alacaoglu, Y Malitsky, V Cevher Advances in Neural Information Processing Systems 34, 14214-14225, 2021 | 14* | 2021 |
| On the complexity of a practical primal-dual coordinate method A Alacaoglu, V Cevher, SJ Wright arXiv preprint arXiv:2201.07684, 2022 | 9 | 2022 |
| Beyond the golden ratio for variational inequality algorithms A Alacaoglu, A Böhm, Y Malitsky Journal of Machine Learning Research 24 (172), 1-33, 2023 | 7 | 2023 |
| Conditional gradient methods for stochastically constrained convex minimization ML Vladarean, A Alacaoglu, YP Hsieh, V Cevher International Conference on Machine Learning, 9775-9785, 2020 | 7 | 2020 |
| Convergence of First-Order Methods for Constrained Nonconvex Optimization with Dependent Data A Alacaoglu, H Lyu International Conference on Machine Learning, 2023 | 6* | 2023 |
| Variance reduced halpern iteration for finite-sum monotone inclusions X Cai, A Alacaoglu, J Diakonikolas arXiv preprint arXiv:2310.02987, 2023 | 2 | 2023 |
| Complexity of Single Loop Algorithms for Nonlinear Programming with Stochastic Objective and Constraints A Alacaoglu, SJ Wright International Conference on Artificial Intelligence and Statistics, 4627-4635, 2024 | 1 | 2024 |
| Adaptation in Stochastic Algorithms: From Nonsmooth Optimization to Min-Max Problems and Beyond A Alacaoglu EPFL, 2021 | 1 | 2021 |
| Extending the Reach of First-Order Algorithms for Nonconvex Min-Max Problems with Cohypomonotonicity A Alacaoglu, D Kim, SJ Wright arXiv preprint arXiv:2402.05071, 2024 | | 2024 |
Volkan CevherAssociate Professor, LIONS, EPFL. Amazon Scholar.Verified email at epfl.ch
