Maher Nouiehed

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 19

Top Topics

Critical Points

Convex Optimization

Top Venues

J. Appl. Probab.

Publications

Xiaoyang Song, Wenbo Sun, Maher Nouiehed, Raed Al Kontar, Judy Jin
SEE-OoD: Supervised Exploration For Enhanced Out-of-Distribution Detection. CoRR (2023)
Maher Nouiehed, Meisam Razaviyayn
Learning Deep Models: Critical Points and Local Openness. INFORMS J. Optim. 4 (2) (2022)
Qiyuan Chen, Raed Al Kontar, Maher Nouiehed, Jessie Yang, Corey Lester
Rethinking Cost-sensitive Classification in Deep Learning via Adversarial Data Augmentation. CoRR (2022)
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 (2021)
Xubo Yue, Maher Nouiehed, Raed Al Kontar
GIFAIR-FL: An Approach for Group and Individual Fairness in Federated Learning. CoRR (2021)
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 (2021)
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) (2020)
Meisam Razaviyayn, Tianjian Huang, Songtao Lu, Maher Nouiehed, Maziar Sanjabi, Mingyi Hong
Non-convex Min-Max Optimization: Applications, Challenges, and Recent Theoretical Advances. CoRR (2020)
Maher Nouiehed, Meisam Razaviyayn
A Trust Region Method for Finding Second-Order Stationarity in Linearly Constrained Nonconvex Optimization. SIAM J. Optim. 30 (3) (2020)
Sina Baharlouei, Maher Nouiehed, Ahmad Beirami, Meisam Razaviyayn
Rényi Fair Inference. ICLR (2020)
Xubo Yue, Maher Nouiehed, Raed Al Kontar
SALR: Sharpness-aware Learning Rates for Improved Generalization. CoRR (2020)
Maher Nouiehed, Jong-Shi Pang, Meisam Razaviyayn
Correction to: On the pervasiveness of difference-convexity in optimization and statistics. Math. Program. 174 (1-2) (2019)
Maher Nouiehed, Jong-Shi Pang, Meisam Razaviyayn
On the pervasiveness of difference-convexity in optimization and statistics. Math. Program. 174 (1-2) (2019)
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 (2019)
Sina Baharlouei, Maher Nouiehed, Meisam Razaviyayn
Rényi Fair Inference. CoRR (2019)
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)
Maher Nouiehed, Sheldon M. Ross
A conjecture on the Feldman bandit problem. J. Appl. Probab. 55 (1) (2018)
Maher Nouiehed, Meisam Razaviyayn
Learning Deep Models: Critical Points and Local Openness. ICLR (Workshop) (2018)
Abbas Alhakim, Maher Nouiehed
Stretching de Bruijn sequences. Des. Codes Cryptogr. 85 (2) (2017)