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 32, 2019 | 348 | 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 | 103 | 2020 |
R\'enyi fair inference S Baharlouei, M Nouiehed, A Beirami, M Razaviyayn arXiv preprint arXiv:1906.12005, 2019 | 93 | 2019 |
The internet of federated things (IoFT) R Kontar, N Shi, X Yue, S Chung, E Byon, M Chowdhury, J Jin, W Kontar, ... IEEE Access 9, 156071-156113, 2021 | 57 | 2021 |
Gifair-fl: A framework for group and individual fairness in federated learning X Yue, M Nouiehed, R Al Kontar INFORMS Journal on Data Science 2 (1), 10-23, 2023 | 51 | 2023 |
Learning deep models: Critical points and local openness M Nouiehed, M Razaviyayn INFORMS Journal on Optimization 4 (2), 148-173, 2022 | 47 | 2022 |
Convergence to second-order stationarity for constrained non-convex optimization M Nouiehed, JD Lee, M Razaviyayn arXiv preprint arXiv:1810.02024, 2018 | 40 | 2018 |
On the pervasiveness of difference-convexity in optimization and statistics M Nouiehed, JS Pang, M Razaviyayn Mathematical Programming 174 (1), 195-222, 2019 | 30 | 2019 |
Salr: Sharpness-aware learning rate scheduler for improved generalization X Yue, M Nouiehed, R Al Kontar IEEE Transactions on Neural Networks and Learning Systems, 2023 | 16* | 2023 |
A trust region method for finding second-order stationarity in linearly constrained nonconvex optimization M Nouiehed, M Razaviyayn SIAM Journal on Optimization 30 (3), 2501-2529, 2020 | 15 | 2020 |
Stretching de Bruijn sequences A Alhakim, M Nouiehed Designs, Codes and Cryptography 85, 381-394, 2017 | 11 | 2017 |
An Optimization-Based Order-and-Cut Approach for Fair Clustering of Data Sets S Li, H Aprahamian, M Nouiehed, H El-Amine INFORMS Journal on Data Science, 2023 | 1 | 2023 |
A conjecture on the Feldman bandit problem M Nouiehed, SM Ross Journal of Applied Probability 55 (1), 318-324, 2018 | 1 | 2018 |
Rethinking Cost-Sensitive Classification in Deep Learning via Adversarial Data Augmentation Q Chen, R Al Kontar, M Nouiehed, XJ Yang, C Lester INFORMS Journal on Data Science, 2024 | | 2024 |
SEE-OoD: Supervised Exploration For Enhanced Out-of-Distribution Detection X Song, W Sun, M Nouiehed, RA Kontar, J Jin arXiv preprint arXiv:2310.08040, 2023 | | 2023 |