Aybat, Necdet Serhat

7 publications

JMLR 2024 High Probability and Risk-Averse Guarantees for a Stochastic Accelerated Primal-Dual Method Yassine Laguel, Necdet Serhat Aybat, Mert Gürbüzbalaban

NeurIPS 2024 High-Probability Complexity Bounds for Stochastic Non-Convex Minimax Optimization Yassine Laguel, Yasa Syed, Necdet Serhat Aybat, Mert Gürbüzbalaban

AAAI 2024 Jointly Improving the Sample and Communication Complexities in Decentralized Stochastic Minimax Optimization Xuan Zhang, Gabriel Mancino-Ball, Necdet Serhat Aybat, Yangyang Xu

NeurIPS 2022 SAPD+: An Accelerated Stochastic Method for Nonconvex-Concave Minimax Problems Xuan Zhang, Necdet Serhat Aybat, Mert Gurbuzbalaban

JMLR 2020 On the Theoretical Guarantees for Parameter Estimation of Gaussian Random Field Models: A Sparse Precision Matrix Approach Sam Davanloo Tajbakhsh, Necdet Serhat Aybat, Enrique Del Castillo

NeurIPS 2019 A Universally Optimal Multistage Accelerated Stochastic Gradient Method Necdet Serhat Aybat, Alireza Fallah, Mert Gurbuzbalaban, Asuman Ozdaglar

NeurIPS 2016 A Primal-Dual Method for Conic Constrained Distributed Optimization Problems Necdet Serhat Aybat, Erfan Yazdandoost Hamedani