2 papers
cs.LG2026
An Efficient Newton Algorithm for Nonnegative Matrix Factorization with the Kullback-Leibler Divergence
Damien Lesens, Jérémy E. Cohen, Bora Uçar
Nonnegative Matrix Factorization (NMF) is a fundamental tool in unsupervised learning, which approximates a nonnegative matrix by the product of two low-rank nonnegative factors. T…
cs.LG2025
KQ-SVD: Compressing the KV Cache with Provable Guarantees on Attention Fidelity
Damien Lesens, Beheshteh T. Rakhshan, Guillaume Rabusseau
The Key-Value (KV) cache is central to the efficiency of transformer-based large language models (LLMs), storing previously computed vectors to accelerate inference. Yet, as sequen…