Shuoguang Yang
Title
Cited by
Cited by
Year
A bounded degree SOS hierarchy for polynomial optimization
JB Lasserre, KC Toh, S Yang
EURO Journal on Computational Optimization 5 (1-2), 87-117, 2017
802017
Multilevel stochastic gradient methods for nested composition optimization
S Yang, M Wang, EX Fang
SIAM Journal on Optimization 29 (1), 616-659, 2019
272019
Simultaneous clustering and model selection: Algorithm, theory and applications
Z Li, LF Cheong, S Yang, KC Toh
IEEE transactions on pattern analysis and machine intelligence 40 (8), 1964-1978, 2017
102017
Robust optimization of power network operation: storage devices and the role of forecast errors in renewable energies
C Matke, D Bienstock, G Munoz, S Yang, D Kleinhans, S Sager
International Workshop on Complex Networks and their Applications, 809-820, 2016
102016
Robust linear control of storage in transmission systems, and extensions to robust network control problems
D Bienstock, G Muņoz, S Yang, C Matke
2017 IEEE 56th Annual Conference on Decision and Control (CDC), 799-806, 2017
82017
Simultaneous clustering and model selection for tensor affinities
Z Li, S Yang, LF Cheong, KC Toh
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016
62016
Robust linear control of nonconvex battery operation in transmission systems
D Bienstock, C Matke, G Munoz, S Yang
arXiv preprint arXiv:1610.09432, 2016
52016
Fast thompson sampling algorithm with cumulative oversampling: Application to budgeted influence maximization
S Wang, S Yang, Z Xu, VA Truong
32020
Revenue maximization and learning in products ranking
N Chen, A Li, S Yang
Proceedings of the 22nd ACM Conference on Economics and Computation, 316-317, 2021
22021
Online learning and optimization under a new linear-threshold model with negative influence
S Yang, S Wang, VA Truong
arXiv preprint arXiv:1911.03276, 2019
22019
Machine learning with PMU data
D Bienstock, A Shukla, M Escobar, S Yang, S Yun, A Lokhov, D Deka, ...
2017 NASPI Work Group Meeting, Gaithersburg, MD 9, 2017
22017
Online Learning of Independent Cascade Models with Node-level Feedback
S Yang, VA Truong
arXiv preprint arXiv:2109.02519, 2021
2021
Online Learning with Cumulative Oversampling: Application to Budgeted Influence Maximization
S Wang, S Yang, Z Xu, VA Truong
arXiv preprint arXiv:2004.11963, 2020
2020
Fast Thompson Sampling with Cumulative Oversampling: Application to Budgeted Influence Maximization
S Wang, S Yang, Z Xu, VA Truong
arXiv e-prints, arXiv: 2004.11963, 2020
2020
Optimization and Revenue Management in Complex Networks
S Yang
Columbia University, 2020
2020
Supplementary material for” Simultaneous Clustering and Model Selection: Algorithm, Theory and Applications”
Z Li, LF Cheong, S Yang, KC Toh
Supplementary material for “Simultaneous Clustering and Model Selection for Tensor Affinities”
Z Li, S Yang, LF Cheong, KC Toh
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Articles 1–17