| Escaping limit cycles: Global convergence for constrained nonconvex-nonconcave minimax problems T Pethick, P Latafat, P Patrinos, O Fercoq, V Cevher International Conference on Learning Representations, 2022 | 59 | 2022 |
| Subquadratic overparameterization for shallow neural networks C Song, A Ramezani-Kebrya, T Pethick, A Eftekhari, V Cevher Advances in Neural Information Processing Systems 34, 11247-11259, 2021 | 30 | 2021 |
| Solving stochastic weak minty variational inequalities without increasing batch size T Pethick, O Fercoq, P Latafat, P Patrinos, V Cevher arXiv preprint arXiv:2302.09029, 2023 | 26 | 2023 |
| Sifting through the noise: Universal first-order methods for stochastic variational inequalities K Antonakopoulos, T Pethick, A Kavis, P Mertikopoulos, V Cevher Advances in Neural Information Processing Systems 34, 13099-13111, 2021 | 13 | 2021 |
| Stable nonconvex-nonconcave training via linear interpolation T Pethick, W Xie, V Cevher Advances in Neural Information Processing Systems 36, 2024 | 7 | 2024 |
| Revisiting adversarial training for the worst-performing class T Pethick, GG Chrysos, V Cevher arXiv preprint arXiv:2302.08872, 2023 | 4 | 2023 |
| Federated learning under covariate shifts with generalization guarantees A Ramezani-Kebrya, F Liu, T Pethick, G Chrysos, V Cevher arXiv preprint arXiv:2306.05325, 2023 | 3 | 2023 |
| Mixed Nash for Robust Federated Learning W Xie, T Pethick, A Ramezani-Kebrya, V Cevher Transactions on Machine Learning Research, 2023 | 3 | 2023 |
| Improving SAM requires rethinking its optimization formulation W Xie, F Latorre, K Antonakopoulos, T Pethick, V Cevher arXiv preprint arXiv:2407.12993, 2024 | 1 | 2024 |
| SAMPa: Sharpness-aware Minimization Parallelized W Xie, T Pethick, V Cevher arXiv preprint arXiv:2410.10683, 2024 | | 2024 |
| Finding Actual Descent Directions for Adversarial Training F Latorre, I Krawczuk, L Dadi, T Pethick, V Cevher International Conference on Learning Representations, 2023 | | 2023 |
| A Process Calculus for Design and Modeling of Retro-Synthesis G Broholm, M Hammeken, MS Hansen, A Juhl, MS Larsen, JF Nilsson, ... Information Modelling and Knowledge Bases XXX, 20-31, 2019 | | 2019 |
| A Simulation-based Framework for Robust Federated Learning to Training-time Attacks W Xie, T Pethick, A Ramezani-Kebrya, V Cevher | | |
| Handling Covariate Shifts in Federated Learning with Generalization Guarantees A Ramezani-Kebrya, F Liu, T Pethick, G Chrysos, V Cevher | | |
| Protect the weak: Class focused online learning for adversarial training T Pethick, G Chrysos, V Cevher | | |
