Sen Na

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 31

Top Topics

Constrained Optimization

Superlinear Convergence

Convolutional Network

Sequential Quadratic Programming

Top Venues

Publications

Yuchen Fang, Sen Na, Michael W. Mahoney, Mladen Kolar
Fully Stochastic Trust-Region Sequential Quadratic Programming for Equality-Constrained Optimization Problems. SIAM J. Optim. 34 (2) (2024)
Sen Na, Mihai Anitescu, Mladen Kolar
A Fast Temporal Decomposition Procedure for Long-Horizon Nonlinear Dynamic Programming. Math. Oper. Res. 49 (2) (2024)
Sen Na, Mihai Anitescu, Mladen Kolar
An adaptive stochastic sequential quadratic programming with differentiable exact augmented lagrangians. Math. Program. 199 (1) (2023)
Sen Na, Mihai Anitescu
Superconvergence of Online Optimization for Model Predictive Control. IEEE Trans. Autom. Control. 68 (3) (2023)
Sen Na, Mihai Anitescu, Mladen Kolar
Inequality constrained stochastic nonlinear optimization via active-set sequential quadratic programming. Math. Program. 202 (1) (2023)
Sen Na, Michal Derezinski, Michael W. Mahoney
Hessian averaging in stochastic Newton methods achieves superlinear convergence. Math. Program. 201 (1) (2023)
Ilgee Hong, Sen Na, Michael W. Mahoney, Mladen Kolar
Constrained Optimization via Exact Augmented Lagrangian and Randomized Iterative Sketching. ICML (2023)
Ilgee Hong, Sen Na, Michael W. Mahoney, Mladen Kolar
Constrained Optimization via Exact Augmented Lagrangian and Randomized Iterative Sketching. CoRR (2023)
Sen Na, Michael W. Mahoney
Asymptotic Convergence Rate and Statistical Inference for Stochastic Sequential Quadratic Programming. CoRR (2022)
Sungho Shin, Sen Na, Mihai Anitescu
Near-Optimal Performance of Stochastic Predictive Control. CoRR (2022)
Mingyuan Ma, Sen Na, Hongyu Wang, Congzhou Chen, Jin Xu
The graph-based behavior-aware recommendation for interactive news. Appl. Intell. 52 (2) (2022)
Sen Na, Michal Derezinski, Michael W. Mahoney
Hessian Averaging in Stochastic Newton Methods Achieves Superlinear Convergence. CoRR (2022)
Sen Na, Sungho Shin, Mihai Anitescu, Victor M. Zavala
On the Convergence of Overlapping Schwarz Decomposition for Nonlinear Optimal Control. IEEE Trans. Autom. Control. 67 (11) (2022)
Mingyuan Ma, Sen Na, Xiaolu Zhang, Congzhou Chen, Jin Xu
SFGAE: a self-feature-based graph autoencoder model for miRNA-disease associations prediction. Briefings Bioinform. 23 (5) (2022)
Sen Na
Global Convergence of Online Optimization for Nonlinear Model Predictive Control. NeurIPS (2021)
Mingyuan Ma, Sen Na, Hongyu Wang
AEGCN: An Autoencoder-Constrained Graph Convolutional Network. Neurocomputing 432 (2021)
Sen Na, Mihai Anitescu, Mladen Kolar
Inequality Constrained Stochastic Nonlinear Optimization via Active-Set Sequential Quadratic Programming. CoRR (2021)
Sen Na, Mihai Anitescu, Mladen Kolar
An Adaptive Stochastic Sequential Quadratic Programming with Differentiable Exact Augmented Lagrangians. CoRR (2021)
Sen Na, Sungho Shin, Mihai Anitescu, Victor M. Zavala
Overlapping Schwarz Decomposition for Nonlinear Optimal Control. CoRR (2020)
Mingyuan Ma, Sen Na, Hongyu Wang, Jin Xu
AEGCN: An Autoencoder-Constrained Graph Convolutional Network. CoRR (2020)
Sen Na, Yuwei Luo, Zhuoran Yang, Zhaoran Wang, Mladen Kolar
Semiparametric Nonlinear Bipartite Graph Representation Learning with Provable Guarantees. ICML (2020)
Sen Na, Yuwei Luo, Zhuoran Yang, Zhaoran Wang, Mladen Kolar
Semiparametric Nonlinear Bipartite Graph Representation Learning with Provable Guarantees. CoRR (2020)
Sen Na, Mihai Anitescu
Superconvergence of Online Optimization for Model Predictive Control. CoRR (2020)
Sen Na, Mihai Anitescu
Exponential Decay in the Sensitivity Analysis of Nonlinear Dynamic Programming. SIAM J. Optim. 30 (2) (2020)
Sen Na, Mihai Anitescu
Exponential Decay in the Sensitivity Analysis of Nonlinear Dynamic Programming. CoRR (2019)
Sen Na, Ruoyu Yan
A New Learning-Based One Shot Detection Framework for Natural Images. ICANN (3) (2019)
Sen Na, Zhuoran Yang, Zhaoran Wang, Mladen Kolar
High-dimensional Varying Index Coefficient Models via Stein's Identity. J. Mach. Learn. Res. 20 (2019)
Sen Na, Zhuoran Yang, Zhaoran Wang, Mladen Kolar
High-dimensional Varying Index Coefficient Models via Stein's Identity. CoRR (2018)
Mingyuan Ma, Sen Na, Cong Xu, Xin Fan
The Graph-based Broad Behavior-Aware Recommendation System for Interactive News. CoRR (2018)
Sen Na, Mladen Kolar
High-dimensional Index Volatility Models via Stein's Identity. CoRR (2018)
Sen Na, Mingyuan Ma, Shuming Ma, Guangju Peng
Stochastic Strictly Contractive Peaceman-Rachford Splitting Method. CoRR (2017)
Yunqing Xia, Xiaoshi Zhong, Peng Liu, Cheng Tan, Sen Na, Qinan Hu, Yaohai Huang
Combining MetaMap and cTAKES in Disorder Recognition: THCIB at CLEF eHealth Lab 2013 Task 1. CLEF (Working Notes) (2013)
Xiaoshi Zhong, Yunqing Xia, Zhongda Xie, Sen Na, Qinan Hu, Yaohai Huang
Concept-based Medical Document Retrieval: THCIB at CLEF eHealth Lab 2013 Task 3. CLEF (Working Notes) (2013)
Yunqing Xia, Xiaoshi Zhong, Peng Liu, Cheng Tan, Sen Na, Qinan Hu, Yaohai Huang
Normalization of Abbreviations/Acronyms: THCIB at CLEF eHealth 2013 Task 2. CLEF (Working Notes) (2013)
Yunqing Xia, Xiaoshi Zhong, Guoyu Tang, Junjun Wang, Qiang Zhou, Thomas Fang Zheng, Qinan Hu, Sen Na, Yaohai Huang
Ranking Search Intents Underlying a Query. NLDB (2013)
Junjun Wang, Guoyu Tang, Yunqing Xia, Qiang Zhou, Thomas Fang Zheng, Qinan Hu, Sen Na, Yaohai Huang
Understanding the Query: THCIB and THUIS at NTCIR-10 Intent Task. NTCIR (2013)