873 citations · 5.4k across the 120 of their papers we have counts for
5 papers · 1 filter
A Human-on-the-Loop Optimization Autoformalism Approach for Sustainability
Ming Jin, Bilgehan Sel, Fnu Hardeep +1
This paper outlines a natural conversational approach to solving personalized energy-related problems using large language models (LLMs). We focus on customizable optimization prob…
MindOpt Tuner: Boost the Performance of Numerical Software by Automatic Parameter Tuning
Mengyuan Zhang, Wotao Yin, Mengchang Wang +7
Numerical software is usually shipped with built-in hyperparameters. By carefully tuning those hyperparameters, significant performance enhancements can be achieved for specific ap…
DSGD-CECA: Decentralized SGD with Communication-Optimal Exact Consensus Algorithm
Lisang Ding, Kexin Jin, Bicheng Ying +2
Decentralized Stochastic Gradient Descent (SGD) is an emerging neural network training approach that enables multiple agents to train a model collaboratively and simultaneously. Ra…
Towards Constituting Mathematical Structures for Learning to Optimize
Jialin Liu, Xiaohan Chen, Zhangyang Wang +2
Learning to Optimize (L2O), a technique that utilizes machine learning to learn an optimization algorithm automatically from data, has gained arising attention in recent years. A g…
Lower Bounds and Accelerated Algorithms in Distributed Stochastic Optimization with Communication Compression
Yutong He, Xinmeng Huang, Yiming Chen +2
Communication compression is an essential strategy for alleviating communication overhead by reducing the volume of information exchanged between computing nodes in large-scale dis…