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 | 60 | 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 | 31 | 2021 |
Solving stochastic weak minty variational inequalities without increasing batch size T Pethick, O Fercoq, P Latafat, P Patrinos, V Cevher International Conference on Learning Representations, 2023 | 27 | 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 Transactions on Machine Learning Research, 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 |
SAMPa: Sharpness-aware Minimization Parallelized W Xie, T Pethick, V Cevher Advances in Neural Information Processing Systems, 2024 | 1 | 2024 |
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 |
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 | | |