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2020 – today
- 2024
[j3]Wanyun Xie, Thomas Pethick, Ali Ramezani-Kebrya, Volkan Cevher:
Mixed Nash for Robust Federated Learning. Trans. Mach. Learn. Res. 2024 (2024)- [c7]Wanyun Xie, Fabian Latorre, Kimon Antonakopoulos, Thomas Pethick, Volkan Cevher:
Improving SAM Requires Rethinking its Optimization Formulation. ICML 2024 - [i7]Wanyun Xie, Fabian Latorre, Kimon Antonakopoulos, Thomas Pethick, Volkan Cevher:
Improving SAM Requires Rethinking its Optimization Formulation. CoRR abs/2407.12993 (2024) - 2023
- [j2]Thomas Pethick, Grigorios Chrysos, Volkan Cevher:
Revisiting adversarial training for the worst-performing class. Trans. Mach. Learn. Res. 2023 (2023) - [j1]Ali Ramezani-Kebrya, Fanghui Liu, Thomas Pethick, Grigorios Chrysos, Volkan Cevher:
Federated Learning under Covariate Shifts with Generalization Guarantees. Trans. Mach. Learn. Res. 2023 (2023) - [c6]Fabian Latorre, Igor Krawczuk, Leello Tadesse Dadi, Thomas Pethick, Volkan Cevher:
Finding Actual Descent Directions for Adversarial Training. ICLR 2023 - [c5]Thomas Pethick, Olivier Fercoq, Puya Latafat, Panagiotis Patrinos, Volkan Cevher:
Solving stochastic weak Minty variational inequalities without increasing batch size. ICLR 2023 - [c4]Thomas Pethick, Wanyun Xie, Volkan Cevher:
Stable Nonconvex-Nonconcave Training via Linear Interpolation. NeurIPS 2023 - [i6]Thomas Pethick, Grigorios G. Chrysos, Volkan Cevher:
Revisiting adversarial training for the worst-performing class. CoRR abs/2302.08872 (2023) - [i5]Thomas Pethick, Olivier Fercoq, Puya Latafat, Panagiotis Patrinos
, Volkan Cevher:
Solving stochastic weak Minty variational inequalities without increasing batch size. CoRR abs/2302.09029 (2023) - [i4]Thomas Pethick, Puya Latafat, Panagiotis Patrinos, Olivier Fercoq, Volkan Cevher:
Escaping limit cycles: Global convergence for constrained nonconvex-nonconcave minimax problems. CoRR abs/2302.09831 (2023) - [i3]Ali Ramezani-Kebrya, Fanghui Liu, Thomas Pethick, Grigorios Chrysos, Volkan Cevher:
Federated Learning under Covariate Shifts with Generalization Guarantees. CoRR abs/2306.05325 (2023) - [i2]Thomas Pethick, Wanyun Xie, Volkan Cevher:
Stable Nonconvex-Nonconcave Training via Linear Interpolation. CoRR abs/2310.13459 (2023) - 2022
- [c3]Thomas Pethick, Puya Latafat, Panos Patrinos, Olivier Fercoq, Volkan Cevher:
Escaping limit cycles: Global convergence for constrained nonconvex-nonconcave minimax problems. ICLR 2022 - 2021
- [c2]Chaehwan Song, Ali Ramezani-Kebrya, Thomas Pethick, Armin Eftekhari, Volkan Cevher:
Subquadratic Overparameterization for Shallow Neural Networks. NeurIPS 2021: 11247-11259 - [c1]Kimon Antonakopoulos, Thomas Pethick, Ali Kavis, Panayotis Mertikopoulos, Volkan Cevher:
Sifting through the noise: Universal first-order methods for stochastic variational inequalities. NeurIPS 2021: 13099-13111 - [i1]Chaehwan Song, Ali Ramezani-Kebrya, Thomas Pethick, Armin Eftekhari, Volkan Cevher:
Subquadratic Overparameterization for Shallow Neural Networks. CoRR abs/2111.01875 (2021)
Coauthor Index
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