402 citations
- Alibaba Group (China)CN60 papers
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- Bellevue Hospital CenterUS30 papers
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- Nanyang Technological UniversitySG21 papers
- Tsinghua UniversityCN15 papers
- Chinese Academy of SciencesCN14 papers
- Renmin University of ChinaCN13 papers
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- Alibaba Group (Cayman Islands)KY10 papers
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14 papers · 1 filter
An ADMM-based Distributed Optimization Method for Solving Security-Constrained AC Optimal Power Flow
Amin Gholami, Kaizhao Sun, Shixuan Zhang +1
In this paper, we study efficient and robust computational methods for solving the security-constrained alternating current optimal power flow (SC-ACOPF) problem, a two-stage nonli…
Curvature-Aware Derivative-Free Optimization
Bumsu Kim, HanQin Cai, Daniel McKenzie +1
The paper discusses derivative-free optimization (DFO), which involves minimizing a function without access to gradients or directional derivatives, only function evaluations. Clas…
Removing Data Heterogeneity Influence Enhances Network Topology Dependence of Decentralized SGD
Kun Yuan, Sulaiman A. Alghunaim, Xinmeng Huang
We consider the decentralized stochastic optimization problems, where a network of nodes, each owning a local cost function, cooperate to find a minimizer of the globally-avera…
Hessian Estimation via Stein's Identity in Black-Box Problems
Jingyi Zhu
When the available information is noisy zeroth-order (ZO) oracle, stochastic approximation methods are popular for estimating the root of the multivariate gradient equation. Inspir…
Learning to Optimize: A Primer and A Benchmark
Tianlong Chen, Xiaohan Chen, Wuyang Chen +4
Learning to optimize (L2O) is an emerging approach that leverages machine learning to develop optimization methods, aiming at reducing the laborious iterations of hand engineering.…
Decomposition Methods for Global Solutions of Mixed-Integer Linear Programs
Kaizhao Sun, Mou Sun, Wotao Yin
This paper introduces two decomposition-based methods for two-block mixed-integer linear programs (MILPs), which aim to take advantage of separable structures of the original probl…