2 papers
math.OC2026
An Optimal Second-Order Algorithm for Finite-Sum Optimization under Average Smoothness and Convexity
Artem Tsedenov, Dmitry Kovalev
In this paper, we consider a finite-sum optimization problem, where the objective function is convex, the component functions are twice continuously differentiable and their He…
cs.LG2026
Rethinking the Role of Tensor Decompositions in Post-Training LLM Compression
Artur Zagitov, Alexander Miasnikov, Maxim Krutikov +5
Post-training compression is essential for deploying large language models (LLMs) under tight resource constraints. Tensor decompositions have emerged as a promising direction, off…