Guanyi Wang
Guanyi Wang
Department of Industrial and Systems Engineering, Georgia Institute of Technology
Verified email at gatech.edu - Homepage
Title
Cited by
Cited by
Year
A convex integer programming approach for optimal sparse PCA
SS Dey, R Mazumder, G Wang
arXiv preprint arXiv:1810.09062, 2018
142018
Approximation algorithms for training one-node relu neural networks
SS Dey, G Wang, Y Xie
IEEE Transactions on Signal Processing 68, 6696-6706, 2020
92020
Mixed-integer linear representability, disjunctions, and variable elimination
A Basu, K Martin, CT Ryan, G Wang
International Conference on Integer Programming and Combinatorial …, 2017
92017
Orthant Based Proximal Stochastic Gradient Method for -Regularized Optimization
T Chen, T Ding, B Ji, G Wang, J Tian, Y Shi, S Yi, X Tu, Z Zhu
arXiv preprint arXiv:2004.03639, 2020
52020
Upper bounds for model-free row-sparse principal component analysis
G Wang, S Dey
International Conference on Machine Learning, 9868-9875, 2020
42020
Solving row-sparse principal component analysis via convex integer programs
SS Dey, M Molinaro, G Wang
arXiv preprint arXiv:2010.11152, 2020
42020
The strength of multi-row aggregation cuts for sign-pattern integer programs
SS Dey, A Iroume, G Wang
Operations Research Letters 46 (6), 611-615, 2018
22018
Relu regression: Complexity exact and approximation algorithms
SS Dey, G Wang, Y Xie
arXiv preprint arXiv:1810.03592, 2018
22018
A Half-Space Stochastic Projected Gradient Method for Group Sparsity Regularization
T Chen, G Wang, D Tianyu, B Ji, S Yi, Z Zhu
12020
Half-space proximal stochastic gradient method for group-sparsity regularized problem
T Chen, G Wang, T Ding, B Ji, S Yi, Z Zhu
arXiv preprint arXiv:2009.12078, 2020
12020
Mixed-integer linear representability, disjunctions, and Chvátal functions—modeling implications
A Basu, K Martin, CT Ryan, G Wang
Mathematics of Operations Research 44 (4), 1264-1285, 2019
12019
Sparse principal component analysis and its -relaxation
SS Dey, R Mazumder, M Molinaro, G Wang
arXiv preprint arXiv:1712.00800, 2017
12017
Only Train Once: A One-Shot Neural Network Training And Pruning Framework
T Chen, B Ji, T Ding, B Fang, G Wang, Z Zhu, L Liang, Y Shi, S Yi, X Tu
arXiv preprint arXiv:2107.07467, 2021
2021
Approximation Algorithms for Mixed Integer Non-Linear Optimization Problems
G Wang
Georgia Institute of Technology, 2021
2021
Orthant Based Proximal Stochastic Gradient Method for -Regularized Optimization
T Chen, T Ding, B Ji, G Wang, Y Shi, J Tian, S Yi, X Tu, Z Zhu
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2021
2021
Row-sparse principal component analysis with guarantees
SS Dey, M Molinaro, G Wang
Mixed-integer linear representability, disjunctions, and Chvátal
A Basu, K Martin, CT Ryan, G Wang
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Articles 1–17