Sen Na

According to our database, Sen Na authored at least 30 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Fully Stochastic Trust-Region Sequential Quadratic Programming for Equality-Constrained Optimization Problems.

Yuchen Fang, Sen Na, Michael W. Mahoney, Mladen Kolar

SIAM J. Optim., 2024

A Fast Temporal Decomposition Procedure for Long-Horizon Nonlinear Dynamic Programming.

Sen Na, Mihai Anitescu, Mladen Kolar

Math. Oper. Res., 2024

Trust-Region Sequential Quadratic Programming for Stochastic Optimization with Random Models.

Yuchen Fang, Sen Na, Michael W. Mahoney, Mladen Kolar

CoRR, 2024

Physics-Informed Neural Networks with Trust-Region Sequential Quadratic Programming.

Xiaoran Cheng, Sen Na

CoRR, 2024

2023

Inequality constrained stochastic nonlinear optimization via active-set sequential quadratic programming.

Sen Na, Mihai Anitescu, Mladen Kolar

Math. Program., November, 2023

An adaptive stochastic sequential quadratic programming with differentiable exact augmented lagrangians.

Sen Na, Mihai Anitescu, Mladen Kolar

Math. Program., May, 2023

Superconvergence of Online Optimization for Model Predictive Control.

Sen Na, Mihai Anitescu

IEEE Trans. Autom. Control., March, 2023

Hessian averaging in stochastic Newton methods achieves superlinear convergence.

Sen Na, Michal Derezinski, Michael W. Mahoney

Math. Program., 2023

Constrained Optimization via Exact Augmented Lagrangian and Randomized Iterative Sketching.

Ilgee Hong, Sen Na, Michael W. Mahoney, Mladen Kolar

Proceedings of the International Conference on Machine Learning, 2023

2022

On the Convergence of Overlapping Schwarz Decomposition for Nonlinear Optimal Control.

Sen Na, Sungho Shin, Mihai Anitescu, Victor M. Zavala

IEEE Trans. Autom. Control., 2022

Near-Optimal Performance of Stochastic Predictive Control.

Sungho Shin, Sen Na, Mihai Anitescu

CoRR, 2022

Asymptotic Convergence Rate and Statistical Inference for Stochastic Sequential Quadratic Programming.

Sen Na, Michael W. Mahoney

CoRR, 2022

SFGAE: a self-feature-based graph autoencoder model for miRNA-disease associations prediction.

Mingyuan Ma, Sen Na, Xiaolu Zhang, Congzhou Chen, Jin Xu

Briefings Bioinform., 2022

The graph-based behavior-aware recommendation for interactive news.

Mingyuan Ma, Sen Na, Hongyu Wang, Congzhou Chen, Jin Xu

Appl. Intell., 2022

2021

AEGCN: An Autoencoder-Constrained Graph Convolutional Network.

Mingyuan Ma, Sen Na, Hongyu Wang

Neurocomputing, 2021

Global Convergence of Online Optimization for Nonlinear Model Predictive Control.

Sen Na

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Exponential Decay in the Sensitivity Analysis of Nonlinear Dynamic Programming.

Sen Na, Mihai Anitescu

SIAM J. Optim., 2020

AEGCN: An Autoencoder-Constrained Graph Convolutional Network.

Mingyuan Ma, Sen Na, Hongyu Wang, Jin Xu

CoRR, 2020

Overlapping Schwarz Decomposition for Nonlinear Optimal Control.

Sen Na, Sungho Shin, Mihai Anitescu, Victor M. Zavala

CoRR, 2020

Semiparametric Nonlinear Bipartite Graph Representation Learning with Provable Guarantees.

Sen Na, Yuwei Luo, Zhuoran Yang, Zhaoran Wang, Mladen Kolar

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

High-dimensional Varying Index Coefficient Models via Stein's Identity.

Sen Na, Zhuoran Yang, Zhaoran Wang, Mladen Kolar

J. Mach. Learn. Res., 2019

A New Learning-Based One Shot Detection Framework for Natural Images.

Sen Na, Ruoyu Yan

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Image Processing, 2019

2018

The Graph-based Broad Behavior-Aware Recommendation System for Interactive News.

Mingyuan Ma, Sen Na, Cong Xu, Xin Fan

CoRR, 2018

High-dimensional Index Volatility Models via Stein's Identity.

Sen Na, Mladen Kolar

CoRR, 2018

2017

Stochastic Strictly Contractive Peaceman-Rachford Splitting Method.

Sen Na, Mingyuan Ma, Shuming Ma, Guangju Peng

CoRR, 2017

2013

Understanding the Query: THCIB and THUIS at NTCIR-10 Intent Task.

Junjun Wang, Guoyu Tang, Yunqing Xia, Qiang Zhou, Thomas Fang Zheng, Qinan Hu, Sen Na, Yaohai Huang

Proceedings of the 10th NTCIR Conference on Evaluation of Information Access Technologies, 2013

Ranking Search Intents Underlying a Query.

Yunqing Xia, Xiaoshi Zhong, Guoyu Tang, Junjun Wang, Qiang Zhou, Thomas Fang Zheng, Qinan Hu, Sen Na, Yaohai Huang

Proceedings of the Natural Language Processing and Information Systems, 2013

Concept-based Medical Document Retrieval: THCIB at CLEF eHealth Lab 2013 Task 3.

Xiaoshi Zhong, Yunqing Xia, Zhongda Xie, Sen Na, Qinan Hu, Yaohai Huang

Proceedings of the Working Notes for CLEF 2013 Conference , 2013

Normalization of Abbreviations/Acronyms: THCIB at CLEF eHealth 2013 Task 2.

Yunqing Xia, Xiaoshi Zhong, Peng Liu, Cheng Tan, Sen Na, Qinan Hu, Yaohai Huang

Proceedings of the Working Notes for CLEF 2013 Conference , 2013

Combining MetaMap and cTAKES in Disorder Recognition: THCIB at CLEF eHealth Lab 2013 Task 1.

Yunqing Xia, Xiaoshi Zhong, Peng Liu, Cheng Tan, Sen Na, Qinan Hu, Yaohai Huang

Proceedings of the Working Notes for CLEF 2013 Conference , 2013