Guanyi Wang

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Santanu S. DeyGeorgia Institute of TechnologyEmail yang diverifikasi di isye.gatech.edu
Tianyi ChenSenior Research Lead, Microsoft, Johns Hopkins UniversityEmail yang diverifikasi di microsoft.com
Sheng YiSimplegenEmail yang diverifikasi di simplegen.ai
Zhihui ZhuAssistant Professor, Ohio State UniversityEmail yang diverifikasi di osu.edu
Tianyu Ding, Ph.D.Principal Researcher, Microsoft | Johns Hopkins UniversityEmail yang diverifikasi di microsoft.com
Xiao TuMicrosoftEmail yang diverifikasi di microsoft.com
Rahul MazumderMassachusetts Institute of TechnologyEmail yang diverifikasi di mit.edu
Biyi FangMicrosoftEmail yang diverifikasi di microsoft.com
Luming Liang (梁鹿鸣)Applied Sciences Group, Microsoft, Past: Uber, Mines, CSUEmail yang diverifikasi di microsoft.com
Marco MolinaroMicrosoft Research and PUC-RioEmail yang diverifikasi di microsoft.com
Yao XieCoca-Cola Foundation Chair and Professor, Georgia Institute of TechnologyEmail yang diverifikasi di isye.gatech.edu
Amitabh BasuJohns Hopkins UniversityEmail yang diverifikasi di jhu.edu
Andrea LodiCornell Tech and Technion -- IITEmail yang diverifikasi di cornell.edu
Christopher Thomas RyanOperations and Logistics, University of British ColumbiaEmail yang diverifikasi di sauder.ubc.ca
Yutong DaiSalesforce; Lehigh University (graduated on 2023)Email yang diverifikasi di salesforce.com
Daniel P. RobinsonAssociate Professor, Lehigh UniversityEmail yang diverifikasi di lehigh.edu
Sriram SankaranarayananIndian Institute of Management, AhmedabadEmail yang diverifikasi di iima.ac.in
Oktay GünlükGeorgia Tech, ISyEEmail yang diverifikasi di gatech.edu
Frank E. CurtisLehigh UniversityEmail yang diverifikasi di lehigh.edu

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Guanyi Wang

Assistant Professor, National University of Singapore

Email yang diverifikasi di nus.edu.sg - Beranda

mixed integer programming nonconvex optimization statistical learning machine learning


Judul Urutkan menurut kutipan Urutkan menurut tahun Urutkan menurut judul	Dikutip oleh Dikutip oleh	Tahun
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	140	2021
Approximation algorithms for training one-node ReLU neural networks SS Dey, G Wang, Y Xie IEEE Transactions on Signal Processing 68, 6696-6706, 2020	35	2020
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	30	2021
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	27	2022
A convex integer programming approach for optimal sparse pca SS Dey, R Mazumder, G Wang arXiv preprint arXiv:1810.09062, 2018	25	2018
Solving sparse principal component analysis with global support SS Dey, M Molinaro, G Wang Mathematical Programming 199 (1), 421-459, 2023	12	2023
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	9	2024
Mixed-integer linear representability, disjunctions, and variable elimination A Basu, K Martin, CT Ryan, G Wang International Conference on Integer Programming and Combinatorial …, 2017	9	2017
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	8	2020
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	7	2023
Upper bounds for model-free row-sparse principal component analysis G Wang, S Dey International Conference on Machine Learning, 9868-9875, 2020	6	2020
Sparse principal component analysis and its -relaxation SS Dey, R Mazumder, M Molinaro, G Wang arXiv preprint arXiv:1712.00800, 2017	4	2017
Solving row-sparse principal component analysis via convex integer programs SS Dey, M Molinaro, G Wang arXiv preprint arXiv:2010.11152, 2020	3	2020
A Half-Space Stochastic Projected Gradient Method for Group Sparsity Regularization T Chen, G Wang, D Tianyu, B Ji, S Yi, Z Zhu	3	2020
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	2	2024
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	2	2018
Relu regression: Complexity, exact and approximation algorithms SS Dey, G Wang, Y Xie arXiv preprint arXiv:1810.03592, 2018	2	2018
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	1	2023
A simple algorithm for online decision making R Chen, O Gunluk, A Lodi, G Wang arXiv preprint arXiv:2211.03997, 2022	1	2022
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	1	2019

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