Qihang Lin
University of Iowa
H-index: 28
North America-United States
Top articles of Qihang Lin
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Oracle Complexity of Single-Loop Switching Subgradient Methods for Non-Smooth Weakly Convex Functional Constrained Optimization | Advances in Neural Information Processing Systems | Yankun Huang Qihang Lin | 2024/2/13 |
Single-loop switching subgradient methods for non-smooth weakly convex optimization with non-smooth convex constraints | ArXiv. org | Yankun Huang Qihang Lin | 2023/1/30 |
Deterministic and Stochastic Accelerated Gradient Method for Convex Semi-Infinite Optimization | arXiv preprint arXiv:2310.10993 | Yao Yao Qihang Lin Tianbao Yang | 2023/10/17 |
First-order Methods for Affinely Constrained Composite Non-convex Non-smooth Problems: Lower Complexity Bound and Near-optimal Methods | arXiv preprint arXiv:2307.07605 | Wei Liu Qihang Lin Yangyang Xu | 2023/7/14 |
Stochastic Methods for AUC Optimization subject to AUC-based Fairness Constraints | Yao Yao Qihang Lin Tianbao Yang | 2023/4/11 | |
Reducing the Complexity of Two Classes of Optimization Problems by Inexact Accelerated Proximal Gradient Method | SIAM journal on optimization | Qihang Lin Yangyang Xu | 2023/3/31 |
Protox: Explaining a reinforcement learning agent via prototyping | Advances in Neural Information Processing Systems | Ronilo Ragodos Tong Wang Qihang Lin Xun Zhou | 2022/12/6 |
Large-scale optimization of partial auc in a range of false positive rates | Advances in Neural Information Processing Systems | Yao Yao Qihang Lin Tianbao Yang | 2022/12/6 |
Federated learning on adaptively weighted nodes by bilevel optimization | arXiv preprint arXiv:2207.10751 | Yankun Huang Qihang Lin Nick Street Stephen Baek | 2022/7/21 |
Complexity of an inexact proximal-point penalty method for constrained smooth non-convex optimization | Computational optimization and applications | Qihang Lin Runchao Ma Yangyang Xu | 2022/5 |
Distributionally robust optimization with confidence bands for probability density functions | INFORMS journal on optimization | Xi Chen Qihang Lin Guanglin Xu | 2022/1 |
Weakly-convex–concave min–max optimization: provable algorithms and applications in machine learning | Optimization Methods and Software | Hassan Rafique Mingrui Liu Qihang Lin Tianbao Yang | 2022/5/4 |
First-order convergence theory for weakly-convex-weakly-concave min-max problems | Journal of Machine Learning Research | Mingrui Liu Hassan Rafique Qihang Lin Tianbao Yang | 2021 |
Hybrid predictive models: When an interpretable model collaborates with a black-box model | Journal of machine learning research | Tong Wang Qihang Lin | 2021 |
A Parameter-free and Projection-free Restarting Level Set Method for Adaptive Constrained Convex Optimization Under the Error Bound Condition | arXiv preprint arXiv:2010.15267 | Qihang Lin Runchao Ma Selvaprabu Nadarajah Negar Soheili | 2020/10/28 |
Optimal epoch stochastic gradient descent ascent methods for min-max optimization | Advances in Neural Information Processing Systems | Yan Yan Yi Xu Qihang Lin Wei Liu Tianbao Yang | 2020 |
High-dimensional model recovery from random sketched data by exploring intrinsic sparsity | Machine learning | Tianbao Yang Lijun Zhang Qihang Lin Shenghuo Zhu Rong Jin | 2020/5 |
Bayesian Decision Process for Budget-efficient Crowdsourced Clustering | Xiaozhou Wang Xi Chen Qihang Lin Weidong Liu | 2020 | |
Revisiting approximate linear programming: Constraint-violation learning with applications to inventory control and energy storage | Management science | Qihang Lin Selvaprabu Nadarajah Negar Soheili | 2020/4 |
A data efficient and feasible level set method for stochastic convex optimization with expectation constraints | Journal of machine learning research | Qihang Lin Selvaprabu Nadarajah Negar Soheili Tianbao Yang | 2020 |
Co-Authors
