Maher Nouiehed

Orcid: 0000-0001-8089-7011

According to our database1, Maher Nouiehed authored at least 17 papers between 2017 and 2023.

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Bibliography

2023
SEE-OoD: Supervised Exploration For Enhanced Out-of-Distribution Detection.
CoRR, 2023

2022
Learning Deep Models: Critical Points and Local Openness.
INFORMS J. Optim., April, 2022

Rethinking Cost-sensitive Classification in Deep Learning via Adversarial Data Augmentation.
CoRR, 2022

2021
The Internet of Federated Things (IoFT): A Vision for the Future and In-depth Survey of Data-driven Approaches for Federated Learning.
CoRR, 2021

GIFAIR-FL: An Approach for Group and Individual Fairness in Federated Learning.
CoRR, 2021

The Internet of Federated Things (IoFT).
IEEE Access, 2021

2020
Nonconvex Min-Max Optimization: Applications, Challenges, and Recent Theoretical Advances.
IEEE Signal Process. Mag., 2020

A Trust Region Method for Finding Second-Order Stationarity in Linearly Constrained Nonconvex Optimization.
SIAM J. Optim., 2020

SALR: Sharpness-aware Learning Rates for Improved Generalization.
CoRR, 2020

Non-convex Min-Max Optimization: Applications, Challenges, and Recent Theoretical Advances.
CoRR, 2020

Rényi Fair Inference.
Proceedings of the 8th International Conference on Learning Representations, 2020

2019
Correction to: On the pervasiveness of difference-convexity in optimization and statistics.
Math. Program., 2019

On the pervasiveness of difference-convexity in optimization and statistics.
Math. Program., 2019

Rényi Fair Inference.
CoRR, 2019

Solving a Class of Non-Convex Min-Max Games Using Iterative First Order Methods.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018
A conjecture on the Feldman bandit problem.
J. Appl. Probab., 2018

2017
Stretching de Bruijn sequences.
Des. Codes Cryptogr., 2017


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