Topic: learning-to-optimize Goto Github
Some thing interesting about learning-to-optimize
Some thing interesting about learning-to-optimize
learning-to-optimize,TF2 implementation of Learning to learn by gradient descent by gradient descent
User: akshaykiranjose
learning-to-optimize,L2O/NCO codes from CIAM Group at SUSTech, Shenzhen, China
Organization: ciam-group
learning-to-optimize,MetaBox: A Benchmark Platform for Meta-Black-Box Optimization with Reinforcement Learning (https://arxiv.org/abs/2310.08252)
Organization: gmc-drl
Home Page: https://gmc-drl.github.io/MetaBox/
learning-to-optimize,Operator splitting can be used to design easy-to-train models for predict-and-optimize tasks, which scale effortlessly to problems with thousands of variables.
Organization: mines-opt-ml
Home Page: http://fpo-dys.research.typal.academy
learning-to-optimize,[ICML 2023] "Towards Omni-generalizable Neural Methods for Vehicle Routing Problems"
User: royalskye
Home Page: https://openreview.net/forum?id=PlFBOnVOFg
learning-to-optimize,Optim4RL is a Jax framework of learning to optimize for reinforcement learning.
Organization: sail-sg
learning-to-optimize,[ICLR 2022] "Bayesian Modeling and Uncertainty Quantification for Learning to Optimize: What, Why, and How" by Yuning You, Yue Cao, Tianlong Chen, Zhangyang Wang, Yang Shen
User: shen-lab
learning-to-optimize,[NeurIPS 2020 Spotlight Oral] "Training Stronger Baselines for Learning to Optimize", Tianlong Chen*, Weiyi Zhang*, Jingyang Zhou, Shiyu Chang, Sijia Liu, Lisa Amini, Zhangyang Wang
Organization: vita-group
Home Page: https://tianlong-chen.github.io/about/
learning-to-optimize,[ICML 2023] "Learning to Optimize Differentiable Games" by Xuxi Chen, Nelson Vadori, Tianlong Chen, Zhangyang Wang
Organization: vita-group
learning-to-optimize,[ICLR 2023] "M-L2O: Towards Generalizable Learning-to-Optimize by Test-Time Fast Self-Adaptation" by Junjie Yang, Xuxi Chen, Tianlong Chen, Zhangyang Wang, Yingbin Liang
Organization: vita-group
learning-to-optimize,Open-L2O: A Comprehensive and Reproducible Benchmark for Learning to Optimize Algorithms
Organization: vita-group
learning-to-optimize,[ICLR 2022] "Optimizer Amalgamation" by Tianshu Huang, Tianlong Chen, Sijia Liu, Shiyu Chang, Lisa Amini, Zhangyang Wang
Organization: vita-group
learning-to-optimize,[ECCV 2022] "Scalable Learning to Optimize: A Learned Optimizer Can Train Big Models" by Xuxi Chen, Tianlong Chen, Yu Cheng, Weizhu Chen, Ahmed Awadallah, and Zhangyang Wang
Organization: vita-group
learning-to-optimize,This repo implements our paper, "Learning to Search Feasible and Infeasible Regions of Routing Problems with Flexible Neural k-Opt", which has been accepted at NeurIPS 2023.
User: yining043
Home Page: https://arxiv.org/abs/2310.18264
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