Learning to Warm-Start Fixed-Point Optimization Algorithms

14 September 2023

Papers citing "Learning to Warm-Start Fixed-Point Optimization Algorithms"

7 / 7 papers shown

Title
WARP-LCA: Efficient Convolutional Sparse Coding with Locally Competitive Algorithm Geoffrey Kasenbacher Felix Ehret Gerrit Ecke Sebastian Otte 49 0 0 24 Oct 2024
From Learning to Optimize to Learning Optimization Algorithms Camille Castera Peter Ochs 62 1 0 28 May 2024
Graph-based Neural Acceleration for Nonnegative Matrix Factorization Jens Sjölund Maria Bånkestad GNN 32 9 0 01 Feb 2022
Tutorial on amortized optimization Brandon Amos OffRL 75 43 0 01 Feb 2022
A Simple Guard for Learned Optimizers Isabeau Prémont-Schwarz Jaroslav Vítkru Jan Feyereisl 49 7 0 28 Jan 2022
Acceleration Methods Alexandre d’Aspremont Damien Scieur Adrien B. Taylor 137 97 0 23 Jan 2021
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 317 11,681 0 09 Mar 2017