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On Performance Estimation in Automatic Algorithm Configuration

On Performance Estimation in Automatic Algorithm Configuration

19 November 2019
Shengcai Liu
K. Tang
Yunwen Lei
Xin Yao
ArXivPDFHTML

Papers citing "On Performance Estimation in Automatic Algorithm Configuration"

5 / 5 papers shown
Title
Neural Influence Estimator: Towards Real-time Solutions to Influence Blocking Maximization
Neural Influence Estimator: Towards Real-time Solutions to Influence Blocking Maximization
Wen-Jing Chen
Shengcai Liu
Yew-Soon Ong
Jiaheng Zhang
K. Tang
20
5
0
27 Aug 2023
Chance-Constrained Multiple-Choice Knapsack Problem: Model, Algorithms,
  and Applications
Chance-Constrained Multiple-Choice Knapsack Problem: Model, Algorithms, and Applications
Xuanfeng Li
Shengcai Liu
J. Wang
Xiao Chen
Yew-Soon Ong
Jiaheng Zhang
14
5
0
26 Jun 2023
A Survey of Methods for Automated Algorithm Configuration
A Survey of Methods for Automated Algorithm Configuration
Elias Schede
Jasmin Brandt
Alexander Tornede
Marcel Wever
Viktor Bengs
Eyke Hüllermeier
Kevin Tierney
31
48
0
03 Feb 2022
Training Quantized Deep Neural Networks via Cooperative Coevolution
Training Quantized Deep Neural Networks via Cooperative Coevolution
Fu Peng
Shengcai Liu
Ning Lu
Ke Tang
MQ
26
1
0
23 Dec 2021
Effective and Imperceptible Adversarial Textual Attack via
  Multi-objectivization
Effective and Imperceptible Adversarial Textual Attack via Multi-objectivization
Shengcai Liu
Ning Lu
W. Hong
Chao Qian
Ke Tang
AAML
22
15
0
02 Nov 2021
1