Towards Robust Learning to Optimize with Theoretical Guarantees

Towards Robust Learning to Optimize with Theoretical Guarantees

17 June 2025

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Papers citing "Towards Robust Learning to Optimize with Theoretical Guarantees"

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Title
Towards Constituting Mathematical Structures for Learning to Optimize Jialin Liu Xiaohan Chen Zhangyang Wang W. Yin HanQin Cai 96 13 0 29 May 2023
Learning to Generalize Provably in Learning to Optimize Junjie Yang Tianlong Chen Mingkang Zhu Fengxiang He Dacheng Tao Yitao Liang Zhangyang Wang 54 7 0 22 Feb 2023
Towards Out-Of-Distribution Generalization: A Survey Jiashuo Liu Zheyan Shen Yue He Xingxuan Zhang Renzhe Xu Han Yu Peng Cui CML OOD 149 535 0 31 Aug 2021
A Generalizable Approach to Learning Optimizers Diogo Almeida Clemens Winter Jie Tang Wojciech Zaremba AI4CE 82 29 0 02 Jun 2021
Learning to Optimize: A Primer and A Benchmark Tianlong Chen Xiaohan Chen Wuyang Chen Howard Heaton Jialin Liu Zhangyang Wang W. Yin 243 235 0 23 Mar 2021
Learning to Beamform in Heterogeneous Massive MIMO Networks Minghe Zhu Tsung-Hui Chang Mingyi Hong 46 23 0 08 Nov 2020
Graph Neural Networks for Scalable Radio Resource Management: Architecture Design and Theoretical Analysis Yifei Shen Yuanming Shi Jun Zhang Khaled B. Letaief GNN 37 264 0 15 Jul 2020
Iterative Algorithm Induced Deep-Unfolding Neural Networks: Precoding Design for Multiuser MIMO Systems Qiyu Hu Yunlong Cai Qingjiang Shi Kaidi Xu Guanding Yu Z. Ding 40 174 0 15 Jun 2020
Safeguarded Learned Convex Optimization Howard Heaton Xiaohan Chen Zhangyang Wang W. Yin 61 22 0 04 Mar 2020
Ada-LISTA: Learned Solvers Adaptive to Varying Models Aviad Aberdam Alona Golts Michael Elad 55 40 0 23 Jan 2020
Learned Optimizers that Scale and Generalize Olga Wichrowska Niru Maheswaranathan Matthew W. Hoffman Sergio Gomez Colmenarejo Misha Denil Nando de Freitas Jascha Narain Sohl-Dickstein AI4CE 60 284 0 14 Mar 2017
Online Learning Rate Adaptation with Hypergradient Descent A. G. Baydin R. Cornish David Martínez-Rubio Mark Schmidt Frank Wood ODL 80 250 0 14 Mar 2017
Learning Gradient Descent: Better Generalization and Longer Horizons Kaifeng Lyu Shunhua Jiang Jian Li 76 114 0 10 Mar 2017
An overview of gradient descent optimization algorithms Sebastian Ruder ODL 206 6,199 0 15 Sep 2016
Learning to learn by gradient descent by gradient descent Marcin Andrychowicz Misha Denil Sergio Gomez Colmenarejo Matthew W. Hoffman David Pfau Tom Schaul Brendan Shillingford Nando de Freitas 115 2,008 0 14 Jun 2016
Practical Bayesian Optimization of Machine Learning Algorithms Jasper Snoek Hugo Larochelle Ryan P. Adams 359 7,954 0 13 Jun 2012