Mehdi Makni

According to our database, Mehdi Makni authored at least 9 papers between 2023 and 2026.

Collaborative distances:

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

2026

ADMM-Q: An Improved Hessian-based Weight Quantizer for Post-Training Quantization of Large Language Models.

Ryan Lucas, Mehdi Makni, Xiang Meng, Adam Deng, Rahul Mazumder

CoRR, May, 2026

2025

TSENOR: Highly-Efficient Algorithm for Finding Transposable N:M Sparse Masks.

Xiang Meng, Mehdi Makni, Rahul Mazumder

CoRR, May, 2025

An Optimization Framework for Differentially Private Sparse Fine-Tuning.

Mehdi Makni, Kayhan Behdin, Gabriel Afriat, Zheng Xu, Sergei Vassilvitskii, Natalia Ponomareva, Hussein Hazimeh, Rahul Mazumder

CoRR, March, 2025

HASSLE-free: A unified Framework for Sparse plus Low-Rank Matrix Decomposition for LLMs.

Mehdi Makni, Kayhan Behdin, Zheng Xu, Natalia Ponomareva, Rahul Mazumder

CoRR, February, 2025

TSENOR: Highly-Efficient Algorithm for Finding Transposable N: M Sparse Masks.

Xiang Meng, Mehdi Makni, Rahul Mazumder

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

3BASiL: An Algorithmic Framework for Sparse plus Low-Rank Compression of LLMs.

Mehdi Makni, Xiang Meng, Rahul Mazumder

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

SPARTA: An Optimization Framework for Differentially Private Sparse Fine-Tuning.

Mehdi Makni, Kayhan Behdin, Gabriel Afriat, Zheng Xu, Sergei Vassilvitskii, Natalia Ponomareva, Rahul Mazumder, Hussein Hazimeh

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

A unified framework for Sparse plus Low-Rank Matrix Decomposition for LLMs.

Mehdi Makni, Kayhan Behdin, Zheng Xu, Natalia Ponomareva, Rahul Mazumder

Proceedings of the Conference on Parsimony and Learning, 2025

2023

Conformal Prediction for Federated Uncertainty Quantification Under Label Shift.

Vincent Plassier, Mehdi Makni, Aleksandr Rubashevskii, Eric Moulines, Maxim Panov

Proceedings of the International Conference on Machine Learning, 2023