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Weijia Shao
Weijia Shao
Federal Institute for Occupational Safety and Health
Verified email at baua.bund.de
Title
Cited by
Cited by
Year
Tensor completion
W Shao
Universität des Saarlandes Saarbrücken, 2012
82012
When algorithm selection meets Bi-linear Learning to Rank: accuracy and inference time trade off with candidates expansion
J Yuan, C Geissler, W Shao, A Lommatzsch, B Jain
International Journal of Data Science and Analytics, 1-17, 2020
32020
Optimistic Optimisation of Composite Objective with Exponentiated Update
W Shao, F Sivrikaya, S Albayrak
22022
Adaptive online learning for the autoregressive integrated moving average models
W Shao, LF Radke, F Sivrikaya, S Albayrak
Mathematics 9 (13), 1523, 2021
22021
Graduated optimization of black-box functions
W Shao, C Geißler, F Sivrikaya
arXiv preprint arXiv:1906.01279, 2019
22019
Adaptive Optimisation of Composite Objectives with Exponentiated Gradient: A Family of Algorithms for High-dimensional and Sparse Targets
W Shao
Technische Universität Berlin, 2023
2023
Adaptive optimisation of composite objectives with exponentiated gradient
W Shao
2023
Adaptive Stochastic Optimisation of Nonconvex Composite Objectives
W Shao, F Sivrikaya, S Albayrak
arXiv preprint arXiv:2211.11710, 2022
2022
Adaptive Zeroth-Order Optimisation of Nonconvex Composite Objectives
W Shao, S Albayrak
International Conference on Machine Learning, Optimization, and Data Science …, 2022
2022
Optimistic optimisation of composite objective with exponentiated update
W Shao, F Sivrikaya, S Albayrak
Machine Learning, 2022
2022
Adaptive Online Learning for the Autoregressive Integrated Moving Average Models. Mathematics 2021, 9, 1523
W Shao, LF Radke, F Sivrikaya, S Albayrak
s Note: MDPI stays neutral with regard to jurisdictional claims in published …, 2021
2021
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Articles 1–11