Towards Constituting Mathematical Structures for Learning to Optimize

29 May 2023

Papers citing "Towards Constituting Mathematical Structures for Learning to Optimize"

5 / 5 papers shown

Title
A Learn-to-Optimize Approach for Coordinate-Wise Step Sizes for Quasi-Newton Methods Wei Lin Qingyu Song Hong Xu 94 1 0 25 Nov 2024
From Learning to Optimize to Learning Optimization Algorithms Camille Castera Peter Ochs 62 1 0 28 May 2024
A Closer Look at Learned Optimization: Stability, Robustness, and Inductive Biases James Harrison Luke Metz Jascha Narain Sohl-Dickstein 47 22 0 22 Sep 2022
Formal Mathematics Statement Curriculum Learning Stanislas Polu Jesse Michael Han Kunhao Zheng Mantas Baksys Igor Babuschkin Ilya Sutskever AIMat 84 116 0 03 Feb 2022
The Advantage of Conditional Meta-Learning for Biased Regularization and Fine-Tuning Giulia Denevi Massimiliano Pontil C. Ciliberto 34 39 0 25 Aug 2020