Learning to Optimize in Swarms

9 November 2019

Papers citing "Learning to Optimize in Swarms"

32 / 32 papers shown

Title
Make Optimization Once and for All with Fine-grained Guidance Mingjia Shi Ruihan Lin Xuxi Chen Yuhao Zhou Zezhen Ding ... Tong Wang Kai Wang Zhangyang Wang Jun Zhang Tianlong Chen 55 1 0 14 Mar 2025
Learning Evolution via Optimization Knowledge Adaptation Chao Wang Licheng Jiao Jiaxuan Zhao Lingling Li Fang Liu Steve Yang 43 1 0 04 Jan 2025
DRED: Zero-Shot Transfer in Reinforcement Learning via Data-Regularised Environment Design Samuel Garcin James Doran Shangmin Guo Christopher G. Lucas Stefano V. Albrecht 35 7 0 05 Feb 2024
Symbol: Generating Flexible Black-Box Optimizers through Symbolic Equation Learning Jiacheng Chen Zeyuan Ma Hongshu Guo Yining Ma Jie Zhang Yue-jiao Gong 35 12 0 04 Feb 2024
Algorithm Evolution Using Large Language Model Fei Liu Xialiang Tong Mingxuan Yuan Qingfu Zhang 30 39 0 26 Nov 2023
Stochastic Unrolled Federated Learning Samar Hadou Navid Naderializadeh Alejandro Ribeiro FedML 30 5 0 24 May 2023
B2Opt: Learning to Optimize Black-box Optimization with Little Budget Xiaobin Li K. Wu Xiaoyu Zhang Handing Wang Jiaheng Liu 27 9 0 24 Apr 2023
M-L2O: Towards Generalizable Learning-to-Optimize by Test-Time Fast Self-Adaptation Junjie Yang Xuxi Chen Tianlong Chen Zhangyang Wang Yitao Liang 18 2 0 28 Feb 2023
Learning to Generalize Provably in Learning to Optimize Junjie Yang Tianlong Chen Mingkang Zhu Fengxiang He Dacheng Tao Yitao Liang Zhangyang Wang 31 6 0 22 Feb 2023
Mnemosyne: Learning to Train Transformers with Transformers Deepali Jain K. Choromanski Kumar Avinava Dubey Sumeet Singh Vikas Sindhwani Tingnan Zhang Jie Tan OffRL 39 9 0 02 Feb 2023
VeLO: Training Versatile Learned Optimizers by Scaling Up Luke Metz James Harrison C. Freeman Amil Merchant Lucas Beyer ... Naman Agrawal Ben Poole Igor Mordatch Adam Roberts Jascha Narain Sohl-Dickstein 35 60 0 17 Nov 2022
Towards Multi-Agent Reinforcement Learning driven Over-The-Counter Market Simulations N. Vadori Leo Ardon Sumitra Ganesh Thomas Spooner Selim Amrouni Jared Vann Mengda Xu Zeyu Zheng T. Balch Manuela Veloso 18 16 0 13 Oct 2022
Practical tradeoffs between memory, compute, and performance in learned optimizers Luke Metz C. Freeman James Harrison Niru Maheswaranathan Jascha Narain Sohl-Dickstein 38 32 0 22 Mar 2022
Symbolic Learning to Optimize: Towards Interpretability and Scalability Wenqing Zheng Tianlong Chen Ting-Kuei Hu Zhangyang Wang 45 19 0 13 Mar 2022
Optimizer Amalgamation Tianshu Huang Tianlong Chen Sijia Liu Shiyu Chang Lisa Amini Zhangyang Wang MoMe 28 4 0 12 Mar 2022
Exploring hyper-parameter spaces of neuroscience models on high performance computers with Learning to Learn Alper Yegenoglu Anand Subramoney T. Hater Cristian Jimenez-Romero W. Klijn Aarn Pérez Martín Michiel A. van der Vlag Michael Herty A. Morrison Sandra Díaz-Pier 27 7 0 28 Feb 2022
Learning Proximal Operators to Discover Multiple Optima Lingxiao Li Noam Aigerman Vladimir G. Kim Jiajin Li Kristjan Greenewald Mikhail Yurochkin Justin Solomon 47 1 0 28 Jan 2022
Learning for Robust Combinatorial Optimization: Algorithm and Application Zhihui Shao Jianyi Yang Cong Shen Shaolei Ren 38 6 0 20 Dec 2021
ModelPred: A Framework for Predicting Trained Model from Training Data Yingyan Zeng Jiachen T. Wang Si-An Chen H. Just Ran Jin R. Jia TDI MU 33 2 0 24 Nov 2021
Bootstrapped Meta-Learning Sebastian Flennerhag Yannick Schroecker Tom Zahavy Hado van Hasselt David Silver Satinder Singh 38 59 0 09 Sep 2021
Learning to Optimize: A Primer and A Benchmark Tianlong Chen Xiaohan Chen Wuyang Chen Howard Heaton Jialin Liu Zhangyang Wang W. Yin 52 225 0 23 Mar 2021
Meta Learning Black-Box Population-Based Optimizers H. Gomes B. Léger Christian Gagné 42 13 0 05 Mar 2021
Training Stronger Baselines for Learning to Optimize Tianlong Chen Weiyi Zhang Jingyang Zhou Shiyu Chang Sijia Liu Lisa Amini Zhangyang Wang OffRL 25 51 0 18 Oct 2020
Swarm Intelligence for Next-Generation Wireless Networks: Recent Advances and Applications Viet Quoc Pham Dinh C. Nguyen S. Mirjalili D. Hoang Diep N. Nguyen P. Pathirana W. Hwang 26 15 0 30 Jul 2020
Automated Synthetic-to-Real Generalization Wuyang Chen Zhiding Yu Zhangyang Wang Anima Anandkumar 17 68 0 14 Jul 2020
Calibration of Shared Equilibria in General Sum Partially Observable Markov Games N. Vadori Sumitra Ganesh P. Reddy Manuela Veloso 14 15 0 23 Jun 2020
A Primer on Zeroth-Order Optimization in Signal Processing and Machine Learning Sijia Liu Pin-Yu Chen B. Kailkhura Gaoyuan Zhang A. Hero III P. Varshney 24 224 0 11 Jun 2020
Focus Longer to See Better:Recursively Refined Attention for Fine-Grained Image Classification Prateek Shroff Tianlong Chen Yunchao Wei Zhangyang Wang 14 12 0 22 May 2020
Meta-Learning in Neural Networks: A Survey Timothy M. Hospedales Antreas Antoniou P. Micaelli Amos Storkey OOD 76 1,935 0 11 Apr 2020
L $^2$ -GCN: Layer-Wise and Learned Efficient Training of Graph Convolutional Networks Yuning You Tianlong Chen Zhangyang Wang Yang Shen GNN 101 82 0 30 Mar 2020
DAVID: Dual-Attentional Video Deblurring Junru Wu Xiang Yu Ding Liu Manmohan Chandraker Zhangyang Wang 24 19 0 07 Dec 2019
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 271 5,327 0 05 Nov 2016