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Maher Nouiehed
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2020 – today
- 2024
- [j9]Xubo Yue, Maher Nouiehed, Raed Al Kontar:
SALR: Sharpness-Aware Learning Rate Scheduler for Improved Generalization. IEEE Trans. Neural Networks Learn. Syst. 35(9): 12518-12527 (2024) - 2023
- [i8]Xiaoyang Song, Wenbo Sun, Maher Nouiehed, Raed Al Kontar, Judy Jin:
SEE-OoD: Supervised Exploration For Enhanced Out-of-Distribution Detection. CoRR abs/2310.08040 (2023) - 2022
- [j8]Maher Nouiehed, Meisam Razaviyayn:
Learning Deep Models: Critical Points and Local Openness. INFORMS J. Optim. 4(2): 148-173 (2022) - [i7]Qiyuan Chen, Raed Al Kontar, Maher Nouiehed, Xi Jessie Yang, Corey A. Lester:
Rethinking Cost-sensitive Classification in Deep Learning via Adversarial Data Augmentation. CoRR abs/2208.11739 (2022) - 2021
- [j7]Raed Kontar, Naichen Shi, Xubo Yue, Seokhyun Chung, Eunshin Byon, Mosharaf Chowdhury, Jionghua Jin, Wissam Kontar, Neda Masoud, Maher Nouiehed, Chinedum Emmanuel Okwudire, Garvesh Raskutti, Romesh Saigal, Karandeep Singh, Zhi-Sheng Ye:
The Internet of Federated Things (IoFT). IEEE Access 9: 156071-156113 (2021) - [i6]Xubo Yue, Maher Nouiehed, Raed Al Kontar:
GIFAIR-FL: An Approach for Group and Individual Fairness in Federated Learning. CoRR abs/2108.02741 (2021) - [i5]Raed Kontar, Naichen Shi, Xubo Yue, Seokhyun Chung, Eunshin Byon, Mosharaf Chowdhury, Judy Jin, Wissam Kontar, Neda Masoud, Maher Nouiehed, Chinedum Emmanuel Okwudire, Garvesh Raskutti, Romesh Saigal, Karandeep Singh, Zhisheng Ye:
The Internet of Federated Things (IoFT): A Vision for the Future and In-depth Survey of Data-driven Approaches for Federated Learning. CoRR abs/2111.05326 (2021) - 2020
- [j6]Maher Nouiehed, Meisam Razaviyayn:
A Trust Region Method for Finding Second-Order Stationarity in Linearly Constrained Nonconvex Optimization. SIAM J. Optim. 30(3): 2501-2529 (2020) - [j5]Meisam Razaviyayn, Tianjian Huang, Songtao Lu, Maher Nouiehed, Maziar Sanjabi, Mingyi Hong:
Nonconvex Min-Max Optimization: Applications, Challenges, and Recent Theoretical Advances. IEEE Signal Process. Mag. 37(5): 55-66 (2020) - [c3]Sina Baharlouei, Maher Nouiehed, Ahmad Beirami, Meisam Razaviyayn:
Rényi Fair Inference. ICLR 2020 - [i4]Meisam Razaviyayn, Tianjian Huang, Songtao Lu, Maher Nouiehed, Maziar Sanjabi, Mingyi Hong:
Non-convex Min-Max Optimization: Applications, Challenges, and Recent Theoretical Advances. CoRR abs/2006.08141 (2020) - [i3]Xubo Yue, Maher Nouiehed, Raed Al Kontar:
SALR: Sharpness-aware Learning Rates for Improved Generalization. CoRR abs/2011.05348 (2020)
2010 – 2019
- 2019
- [j4]Maher Nouiehed, Jong-Shi Pang, Meisam Razaviyayn:
On the pervasiveness of difference-convexity in optimization and statistics. Math. Program. 174(1-2): 195-222 (2019) - [j3]Maher Nouiehed, Jong-Shi Pang, Meisam Razaviyayn:
Correction to: On the pervasiveness of difference-convexity in optimization and statistics. Math. Program. 174(1-2): 223-224 (2019) - [c2]Maher Nouiehed, Maziar Sanjabi, Tianjian Huang, Jason D. Lee, Meisam Razaviyayn:
Solving a Class of Non-Convex Min-Max Games Using Iterative First Order Methods. NeurIPS 2019: 14905-14916 - [i2]Maher Nouiehed, Maziar Sanjabi, Tianjian Huang, Jason D. Lee, Meisam Razaviyayn:
Solving a Class of Non-Convex Min-Max Games Using Iterative First Order Methods. CoRR abs/1902.08297 (2019) - [i1]Sina Baharlouei, Maher Nouiehed, Meisam Razaviyayn:
Rényi Fair Inference. CoRR abs/1906.12005 (2019) - 2018
- [j2]Maher Nouiehed, Sheldon M. Ross:
A conjecture on the Feldman bandit problem. J. Appl. Probab. 55(1): 318-324 (2018) - [c1]Maher Nouiehed, Meisam Razaviyayn:
Learning Deep Models: Critical Points and Local Openness. ICLR (Workshop) 2018 - 2017
- [j1]Abbas Alhakim, Maher Nouiehed:
Stretching de Bruijn sequences. Des. Codes Cryptogr. 85(2): 381-394 (2017)
Coauthor Index
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last updated on 2024-09-21 02:35 CEST by the dblp team
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