Spremljaj
Guanyi Wang
Naslov
Navedeno
Navedeno
Leto
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
Advances in Neural Information Processing Systems 34, 19637-19651, 2021
1402021
Approximation algorithms for training one-node ReLU neural networks
SS Dey, G Wang, Y Xie
IEEE Transactions on Signal Processing 68, 6696-6706, 2020
352020
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
302021
Using -Relaxation and Integer Programming to Obtain Dual Bounds for Sparse PCA
SS Dey, R Mazumder, G Wang
Operations Research 70 (3), 1914-1932, 2022
272022
A convex integer programming approach for optimal sparse pca
SS Dey, R Mazumder, G Wang
arXiv preprint arXiv:1810.09062, 2018
252018
Solving sparse principal component analysis with global support
SS Dey, M Molinaro, G Wang
Mathematical Programming 199 (1), 421-459, 2023
122023
A framework for fair decision-making over time with time-invariant utilities
A Lodi, S Sankaranarayanan, G Wang
European Journal of Operational Research 319 (2), 456-467, 2024
92024
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
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
82020
An adaptive half-space projection method for stochastic optimization problems with group sparse regularization
Y Dai, T Chen, G Wang, DP Robinson
Transactions on machine learning research, 2023
72023
Upper bounds for model-free row-sparse principal component analysis
G Wang, S Dey
International Conference on Machine Learning, 9868-9875, 2020
62020
Sparse principal component analysis and its -relaxation
SS Dey, R Mazumder, M Molinaro, G Wang
arXiv preprint arXiv:1712.00800, 2017
42017
Solving row-sparse principal component analysis via convex integer programs
SS Dey, M Molinaro, G Wang
arXiv preprint arXiv:2010.11152, 2020
32020
A Half-Space Stochastic Projected Gradient Method for Group Sparsity Regularization
T Chen, G Wang, D Tianyu, B Ji, S Yi, Z Zhu
32020
Do algorithms and barriers for sparse principal component analysis extend to other structured settings?
G Wang, M Lou, A Pananjady
IEEE Transactions on Signal Processing, 2024
22024
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 Variance-Reduced and Stabilized Proximal Stochastic Gradient Method with Support Identification Guarantees for Structured Optimization
Y Dai, G Wang, FE Curtis, DP Robinson
International Conference on Artificial Intelligence and Statistics, 5107-5133, 2023
12023
A simple algorithm for online decision making
R Chen, O Gunluk, A Lodi, G Wang
arXiv preprint arXiv:2211.03997, 2022
12022
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
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