Publications
Preprints
Rui Chen, Oktay Gunluk, Andrea Lodi, Guanyi Wang. A Simple Algorithm for Online Decision Making.
Tianyi Chen, Guanyi Wang, Tianyu Ding, Bo Ji, Sheng Yi, Zhihui Zhu. Half-Space Proximal Stochastic Gradient Method for Group-Sparsity Regularized Problem.
Journal Papers
Guanyi Wang, Mengqi Lou, Ashwin Pananjady. Do algorithms and barriers for sparse principal component analysis extend to other structured settings? Accepted by IEEE Transactions on Signal Processing.
Andrea Lodi, Sriram Sankaranarayanan, and Guanyi Wang. "A Framework for Fair Decision-Making Over Time with Time-Invariant Utilities." European Journal of Operational Research (2023).
Yutong Dai, Tianyi Chen, Guanyi Wang, Daniel P. Robinson. An Adaptive Half-Space Projection Method for Stochastic Optimization Problems with Group Sparse Regularization. Transactions on Machine Learning Research, (2023).
Santanu S. Dey, Marco Molinaro, Guanyi Wang. Solving row-sparse principal component analysis via convex integer programs. Mathematical Programming, (2022): 1-39.
Santanu S. Dey, Rahul Mazumder, Guanyi Wang. Using ℓ1-Relaxation and Integer Programming to Obtain Dual Bounds for Sparse PCA. Operations Research, 2021, INFORMS.
Santanu S. Dey, Guanyi Wang, Yao Xie. An Approximation Algorithm for Training One-Node ReLU Neural Network. IEEE Transactions on Signal Processing 68, 6696-6706, 2020.
Amitabh Basu, Kipp Martin, Christopher Thomas Ryan, Guanyi Wang. Mixed-Integer Linear Representability, Disjunctions, and Chvátal Functions—Modeling Implications. Mathematics of Operations Research, 2019, INFORMS.
Santanu S.Dey, Andres Iroume, Guanyi Wang. The Strength of Multi-Row Aggregation Cuts for Sign-Pattern Integer Programs. Operations Research Letters, Vol.46, No.20, 611–615, 2018, Elsevier.
Conference Papers
Yutong Dai, Guanyi Wang, Frank E. Curtis, and Daniel P. Robinson. A Variance-Reduced and Stabilized Proximal Stochastic Gradient Method with Support Identification Guarantees for Structured Optimization. The 25th International Conference on Artificial Intelligence and Statistics (AISTATS 2023).
Chen, Tianyi, Bo Ji, Tianyu Ding, Biyi Fang, Guanyi Wang, Zhihui Zhu, Luming Liang, Yixin Shi, Sheng Yi, and Xiao Tu. Only train once: A one-shot neural network training and pruning framework. Advances in Neural Information Processing Systems 34 (2021): 19637-19651.
Guanyi Wang, Santanu Dey. Upper bounds for Model-Free Row-Sparse Principal Component Analysis. International Conference on Machine Learning (ICML' 2020).
Amitabh Basu, Kipp Martin, Christopher Thomas Ryan, Guanyi Wang. Mixed-Integer Linear Representability, Disjunctions, and Variable Elimination. International Conference on Integer Programming and Combinatorial Optimization, 75–85, 2017, Springer.