Pethick, Thomas

15 publications

ICLR 2025 Efficient Interpolation Between Extragradient and Proximal Methods for Weak MVIs Thomas Pethick, Ioannis Mavrothalassitis, Volkan Cevher

NeurIPS 2025 Generalized Gradient Norm Clipping & Non-Euclidean $(L_0,L_1)$-Smoothness Thomas Pethick, Wanyun Xie, Mete Erdogan, Kimon Antonakopoulos, Tony Silveti-Falls, Volkan Cevher

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

TMLR 2025 νSAM: Memory-Efficient Sharpness-Aware Minimization via Nuclear Norm Constraints Thomas Pethick, Parameswaran Raman, Lenon Minorics, Mingyi Hong, Shoham Sabach, Volkan Cevher

ICML 2024 Improving SAM Requires Rethinking Its Optimization Formulation Wanyun Xie, Fabian Latorre, Kimon Antonakopoulos, Thomas Pethick, Volkan Cevher

TMLR 2024 Mixed Nash for Robust Federated Learning Wanyun Xie, Thomas Pethick, Ali Ramezani-Kebrya, Volkan Cevher

NeurIPS 2024 SAMPa: Sharpness-Aware Minimization Parallelized Wanyun Xie, Thomas Pethick, Volkan Cevher

TMLR 2023 Federated Learning Under Covariate Shifts with Generalization Guarantees Ali Ramezani-Kebrya, Fanghui Liu, Thomas Pethick, Grigorios Chrysos, Volkan Cevher

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

TMLR 2023 Revisiting Adversarial Training for the Worst-Performing Class Thomas Pethick, Grigorios Chrysos, Volkan Cevher

ICLR 2023 Solving Stochastic Weak Minty Variational Inequalities Without Increasing Batch Size Thomas Pethick, Olivier Fercoq, Puya Latafat, Panagiotis Patrinos, Volkan Cevher

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

ICLR 2022 Escaping Limit Cycles: Global Convergence for Constrained Nonconvex-Nonconcave Minimax Problems Thomas Pethick, Puya Latafat, Panos Patrinos, Olivier Fercoq, Volkan Cevher

NeurIPS 2021 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