| Solving a class of non-convex min-max games using iterative first order methods M Nouiehed, M Sanjabi, T Huang, JD Lee, M Razaviyayn Advances in Neural Information Processing Systems, 14934-14942, 2019 | 342 | 2019 |
| Nonconvex min-max optimization: Applications, challenges, and recent theoretical advances M Razaviyayn, T Huang, S Lu, M Nouiehed, M Sanjabi, M Hong IEEE Signal Processing Magazine 37 (5), 55-66, 2020 | 101 | 2020 |
| A rigorous study of integrated gradients method and extensions to internal neuron attributions DD Lundstrom, T Huang, M Razaviyayn International Conference on Machine Learning, 14485-14508, 2022 | 49 | 2022 |
| Robustness through data augmentation loss consistency T Huang, S Halbe, C Sankar, P Amini, S Kottur, A Geramifard, ... arXiv preprint arXiv:2110.11205, 2021 | 15* | 2021 |
| Alternating direction method of multipliers for quantization T Huang, P Singhania, M Sanjabi, P Mitra, M Razaviyayn International Conference on Artificial Intelligence and Statistics, 208-216, 2021 | 10 | 2021 |
| Optimal differentially private learning with public data A Lowy, Z Li, T Huang, M Razaviyayn arXiv preprint arXiv:2306.15056, 2023 | 7 | 2023 |
| A decentralized adaptive momentum method for solving a class of min-max optimization problems B Barazandeh, T Huang, G Michailidis Signal Processing 189, 108245, 2021 | 7 | 2021 |
| Optimal Differentially Private Model Training with Public Data A Lowy, Z Li, T Huang, M Razaviyayn Forty-first International Conference on Machine Learning, 0 | | |
Meisam RazaviyaynUniversity of Southern California在 usc.edu 的电子邮件经过验证
Meisam RazaviyaynUniversity of Southern California在 usc.edu 的电子邮件经过验证
Maziar SanjabiMeta AI在 fb.com 的电子邮件经过验证
Jason D. LeeAssociate Professor of Electrical Engineering and Computer Science, Princeton University在 princeton.edu 的电子邮件经过验证