78 citations · 173 across the 35 of their papers we have counts for
40 papers
HeatKV: Head-tuned KV-cache Compression for Visual Autoregressive Modeling
Jonathan Cederlund, Axel Berg, William Isaksson +3
Visual Autoregressive (VAR) models have recently demonstrated impressive image generation quality while maintaining low latency. However, they suffer from severe KV-cache memory co…
Extending Douglas-Rachford Splitting for Convex Optimization
Max Nilsson, Anton Åkerman, Pontus Giselsson
The Douglas-Rachford splitting method is a classical and widely used algorithm for solving monotone inclusions involving the sum of two maximally monotone operators. It was recentl…
The AutoLyap software suite for computer-assisted Lyapunov analyses of first-order methods
Manu Upadhyaya, Shuvomoy Das Gupta, Adrien B. Taylor +2
We introduce AutoLyap, a software suite that assists with Lyapunov analyses of a wide class of first-order methods for structured optimization and inclusion problems. Lyapunov anal…
The Symmetry Coefficient of Positively Homogeneous Functions
Max Nilsson, Pontus Giselsson
The Bregman distance is a central tool in convex optimization, particularly in first-order gradient descent and proximal-based algorithms. Such methods enable optimization of funct…
Splitting the Forward-Backward Algorithm: A Full Characterization
Anton Åkerman, Enis Chenchene, Pontus Giselsson +1
We study frugal splitting algorithms with minimal lifting for solving monotone inclusion problems involving sums of maximal monotone and cocoercive operators. Building on a foundat…
A Lyapunov analysis of Korpelevich's extragradient method with fast and flexible extensions
Manu Upadhyaya, Puya Latafat, Pontus Giselsson
We develop a Lyapunov-based analysis of Korpelevich's extragradient method and show that it achieves an last-iterate convergence rate of the constructed Lyapunov function.…