Nidham Gazagnadou

According to our database, Nidham Gazagnadou authored at least 8 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

On Adaptivity in Zeroth-Order Optimization.

Hassan Dbouk, Nidham Gazagnadou, Matthias Reisser, Christos Louizos

CoRR, May, 2026

2024

FedP3: Federated Personalized and Privacy-friendly Network Pruning under Model Heterogeneity.

Kai Yi, Nidham Gazagnadou, Peter Richtárik, Lingjuan Lyu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

On the Hardness of Robustness Transfer: A Perspective from Rademacher Complexity over Symmetric Difference Hypothesis Space.

Yuyang Deng, Nidham Gazagnadou, Junyuan Hong, Mehrdad Mahdavi, Lingjuan Lyu

CoRR, 2023

Privacy Assessment on Reconstructed Images: Are Existing Evaluation Metrics Faithful to Human Perception?

Xiaoxiao Sun, Nidham Gazagnadou, Vivek Sharma, Lingjuan Lyu, Hongdong Li, Liang Zheng

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

RidgeSketch: A Fast Sketching Based Solver for Large Scale Ridge Regression.

Nidham Gazagnadou, Mark Ibrahim, Robert M. Gower

SIAM J. Matrix Anal. Appl., September, 2022

Cutting Some Slack for SGD with Adaptive Polyak Stepsizes.

Robert M. Gower, Mathieu Blondel, Nidham Gazagnadou, Fabian Pedregosa

CoRR, 2022

2019

Towards closing the gap between the theory and practice of SVRG.

Othmane Sebbouh, Nidham Gazagnadou, Samy Jelassi, Francis R. Bach, Robert M. Gower

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Optimal Mini-Batch and Step Sizes for SAGA.

Nidham Gazagnadou, Robert M. Gower, Joseph Salmon

Proceedings of the 36th International Conference on Machine Learning, 2019