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Maher Nouiehed
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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
3482019
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
1032020
R\'enyi fair inference
S Baharlouei, M Nouiehed, A Beirami, M Razaviyayn
arXiv preprint arXiv:1906.12005, 2019
932019
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
572021
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
512023
Learning deep models: Critical points and local openness
M Nouiehed, M Razaviyayn
INFORMS Journal on Optimization 4 (2), 148-173, 2022
472022
Convergence to second-order stationarity for constrained non-convex optimization
M Nouiehed, JD Lee, M Razaviyayn
arXiv preprint arXiv:1810.02024, 2018
402018
On the pervasiveness of difference-convexity in optimization and statistics
M Nouiehed, JS Pang, M Razaviyayn
Mathematical Programming 174 (1), 195-222, 2019
302019
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
152020
Stretching de Bruijn sequences
A Alhakim, M Nouiehed
Designs, Codes and Cryptography 85, 381-394, 2017
112017
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
12023
A conjecture on the Feldman bandit problem
M Nouiehed, SM Ross
Journal of Applied Probability 55 (1), 318-324, 2018
12018
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
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