Sifting through the noise: Universal first-order methods for stochastic variational inequalities. - Kimon Antonakopoulos; Thomas Pethick; Ali Kavis; Panayotis Mertikopoulos; Volkan Cevher (NeurIPS, 2021)

Subquadratic Overparameterization for Shallow Neural Networks. - Chaehwan Song; Ali Ramezani-Kebrya; Thomas Pethick; Armin Eftekhari; Volkan Cevher (NeurIPS, 2021)

Escaping limit cycles: Global convergence for constrained nonconvex-nonconcave minimax problems. - Thomas Pethick; Puya Latafat; Panos Patrinos; Olivier Fercoq; Volkan Cevher (ICLR, 2022)

Finding Actual Descent Directions for Adversarial Training. - Fabian Latorre; Igor Krawczuk; Leello Tadesse Dadi; Thomas Pethick; Volkan Cevher (ICLR, 2023)

Solving stochastic weak Minty variational inequalities without increasing batch size. - Thomas Pethick; Olivier Fercoq; Puya Latafat; Panagiotis Patrinos; Volkan Cevher (ICLR, 2023)

Stable Nonconvex-Nonconcave Training via Linear Interpolation. - Thomas Pethick; Wanyun Xie; Volkan Cevher (NeurIPS, 2023)

Revisiting adversarial training for the worst-performing class. - Thomas Pethick; Grigorios Chrysos 002; Volkan Cevher (Trans. Mach. Learn. Res., 2023)

Federated Learning under Covariate Shifts with Generalization Guarantees. - Ali Ramezani-Kebrya; Fanghui Liu 001; Thomas Pethick; Grigorios Chrysos 002; Volkan Cevher (Trans. Mach. Learn. Res., 2023)

Improving SAM Requires Rethinking its Optimization Formulation. - Wanyun Xie; Fabian Latorre; Kimon Antonakopoulos; Thomas Pethick; Volkan Cevher (ICML, 2024)

SAMPa: Sharpness-aware Minimization Parallelized. - Wanyun Xie; Thomas Pethick; Volkan Cevher (NeurIPS, 2024)

Mixed Nash for Robust Federated Learning. - Wanyun Xie; Thomas Pethick; Ali Ramezani-Kebrya; Volkan Cevher (Trans. Mach. Learn. Res., 2024)

Efficient Interpolation between Extragradient and Proximal Methods for Weak MVIs. - Thomas Pethick; Ioannis Mavrothalassitis; Volkan Cevher (ICLR, 2025)

νSAM: Memory-Efficient Sharpness-Aware Minimization via Nuclear Norm Constraints. - Thomas Pethick; Parameswaran Raman; Lenon Minorics; Mingyi Hong 001; Shoham Sabach; Volkan Cevher (Trans. Mach. Learn. Res., 2025)

Training Deep Learning Models with Norm-Constrained LMOs. - Thomas Pethick; Wanyun Xie; Kimon Antonakopoulos; Zhenyu Zhu; Antonio Silveti-Falls; Volkan Cevher (CoRR, 2025)

Generalized Gradient Norm Clipping & Non-Euclidean (L0,L1)-Smoothness. - Thomas Pethick; Wanyun Xie; Mete Erdogan; Kimon Antonakopoulos; Tony Silveti-Falls; Volkan Cevher (CoRR, 2025)