Sen Na

51 papers A* 4C 1Journal 41Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Trust-Region Interior-Point Stochastic Sequential Quadratic Programming Method.
CoRR
Yuchen Fang, Jihun Kim, Sen Na, James Demmel, Javad Lavaei
2025 J jnl
Derivative-Free Sequential Quadratic Programming for Equality-Constrained Stochastic Optimization.
CoRR
Sen Na
2025 J jnl
High Probability Complexity Bounds of Trust-Region Stochastic Sequential Quadratic Programming with Heavy-Tailed Noise.
CoRR
Yuchen Fang, Javad Lavaei, Katya Scheinberg, Sen Na
2025 J jnl
Kwai Keye-VL 1.5 Technical Report.
CoRR
Biao Yang, Bin Wen, Boyang Ding, Changyi Liu, Chenglong Chu, Chengru Song, Chongling Rao, Chuan Yi, Da Li, Dunju Zang, Fan Yang, Guorui Zhou, Guowang Zhang, Han Shen, Hao Peng, Haojie Ding, Hao Wang, Haonan Fan, Hengrui Ju, Jiaming Huang, Jiangxia Cao, Jiankang Chen, Jingyun Hua, Kaibing Chen, Kaiyu Jiang, Kaiyu Tang, Kun Gai, Muhao Wei, Qiang Wang, Ruitao Wang, Sen Na, Shengnan Zhang, Siyang Mao, Sui Huang, Tianke Zhang, Tingting Gao, Wei Chen, Wei Yuan, Xiangyu Wu, Xiao Hu, Xingyu Lu, Yifan Zhang, Yiping Yang, Yulong Chen, Zeyi Lu, Zhenhua Wu, Zhixin Ling, Zhuoran Yang, Ziming Li, Di Xu, Haixuan Gao, Hang Li, Jing Wang, Lejian Ren, Qigen Hu, Qianqian Wang, Shiyao Wang, Xinchen Luo, Yan Li, Yuhang Hu, Zixing Zhang
2025 A* conf
Online Covariance Estimation in Nonsmooth Stochastic Approximation.
COLT
Liwei Jiang, Abhishek Roy, Krishna Balasubramanian, Damek Davis, Dmitriy Drusvyatskiy, Sen Na
2025 J jnl
Online Covariance Estimation in Nonsmooth Stochastic Approximation.
CoRR
Liwei Jiang, Abhishek Roy, Krishna Balasubramanian, Damek Davis, Dmitriy Drusvyatskiy, Sen Na
2025 J jnl
Online Covariance Matrix Estimation in Sketched Newton Methods.
CoRR
Wei Kuang, Mihai Anitescu, Sen Na
2025 J jnl
Online Inference of Constrained Optimization: Primal-Dual Optimality and Sequential Quadratic Programming.
CoRR
Yihang Gao, Michael K. Ng, Michael W. Mahoney, Sen Na
2025 J jnl
Online Statistical Inference of Constrained Stochastic Optimization via Random Scaling.
CoRR
Xinchen Du, Wanrong Zhu, Wei Biao Wu, Sen Na
2025 J jnl
Overlapping Schwarz Scheme for Linear-Quadratic Programs in Continuous Time.
CoRR
Hongli Zhao, Mihai Anitescu, Sen Na
2025 J jnl
Panda: partially approximate newton methods for distributed minimax optimization with unbalanced dimensions.
Mach. Learn.
Minheng Xiao, Chengchang Liu, Cheng Chen, John C. S. Lui, Sen Na
2025 J jnl
Statistical Inference of Constrained Stochastic Optimization via Sketched Sequential Quadratic Programming.
J. Mach. Learn. Res.
Sen Na, Michael W. Mahoney
2024 J jnl
A Fast Temporal Decomposition Procedure for Long-Horizon Nonlinear Dynamic Programming.
Math. Oper. Res.
Sen Na, Mihai Anitescu, Mladen Kolar
2024 J jnl
Convergence Analysis of Accelerated Stochastic Gradient Descent Under the Growth Condition.
Math. Oper. Res.
You-Lin Chen, Sen Na, Mladen Kolar
2024 J jnl
Fully Stochastic Trust-Region Sequential Quadratic Programming for Equality-Constrained Optimization Problems.
SIAM J. Optim.
Yuchen Fang, Sen Na, Michael W. Mahoney, Mladen Kolar
2024 J jnl
Physics-Informed Neural Networks with Trust-Region Sequential Quadratic Programming.
CoRR
Xiaoran Cheng, Sen Na
2024 J jnl
Trust-Region Sequential Quadratic Programming for Stochastic Optimization with Random Models.
CoRR
Yuchen Fang, Sen Na, Michael W. Mahoney, Mladen Kolar
2023 J jnl
An adaptive stochastic sequential quadratic programming with differentiable exact augmented lagrangians.
Math. Program.
Sen Na, Mihai Anitescu, Mladen Kolar
2023 A* conf
Constrained Optimization via Exact Augmented Lagrangian and Randomized Iterative Sketching.
ICML
Ilgee Hong, Sen Na, Michael W. Mahoney, Mladen Kolar
2023 J jnl
Constrained Optimization via Exact Augmented Lagrangian and Randomized Iterative Sketching.
CoRR
Ilgee Hong, Sen Na, Michael W. Mahoney, Mladen Kolar
2023 J jnl
Hessian averaging in stochastic Newton methods achieves superlinear convergence.
Math. Program.
Sen Na, Michal Derezinski, Michael W. Mahoney
2023 J jnl
Inequality constrained stochastic nonlinear optimization via active-set sequential quadratic programming.
Math. Program.
Sen Na, Mihai Anitescu, Mladen Kolar
2023 J jnl
Superconvergence of Online Optimization for Model Predictive Control.
IEEE Trans. Autom. Control.
Sen Na, Mihai Anitescu
2022 J jnl
Asymptotic Convergence Rate and Statistical Inference for Stochastic Sequential Quadratic Programming.
CoRR
Sen Na, Michael W. Mahoney
2022 J jnl
Hessian Averaging in Stochastic Newton Methods Achieves Superlinear Convergence.
CoRR
Sen Na, Michal Derezinski, Michael W. Mahoney
2022 J jnl
Near-Optimal Performance of Stochastic Predictive Control.
CoRR
Sungho Shin, Sen Na, Mihai Anitescu
2022 J jnl
On the Convergence of Overlapping Schwarz Decomposition for Nonlinear Optimal Control.
IEEE Trans. Autom. Control.
Sen Na, Sungho Shin, Mihai Anitescu, Victor M. Zavala
2022 J jnl
SFGAE: a self-feature-based graph autoencoder model for miRNA-disease associations prediction.
Briefings Bioinform.
Mingyuan Ma, Sen Na, Xiaolu Zhang, Congzhou Chen, Jin Xu
2022 J jnl
The graph-based behavior-aware recommendation for interactive news.
Appl. Intell.
Mingyuan Ma, Sen Na, Hongyu Wang, Congzhou Chen, Jin Xu
2021 J jnl
AEGCN: An Autoencoder-Constrained Graph Convolutional Network.
Neurocomputing
Mingyuan Ma, Sen Na, Hongyu Wang
2021 J jnl
An Adaptive Stochastic Sequential Quadratic Programming with Differentiable Exact Augmented Lagrangians.
CoRR
Sen Na, Mihai Anitescu, Mladen Kolar
2021 A* conf
Global Convergence of Online Optimization for Nonlinear Model Predictive Control.
NeurIPS
Sen Na
2021 J jnl
Inequality Constrained Stochastic Nonlinear Optimization via Active-Set Sequential Quadratic Programming.
CoRR
Sen Na, Mihai Anitescu, Mladen Kolar
2020 J jnl
AEGCN: An Autoencoder-Constrained Graph Convolutional Network.
CoRR
Mingyuan Ma, Sen Na, Hongyu Wang, Jin Xu
2020 J jnl
Exponential Decay in the Sensitivity Analysis of Nonlinear Dynamic Programming.
SIAM J. Optim.
Sen Na, Mihai Anitescu
2020 J jnl
Overlapping Schwarz Decomposition for Nonlinear Optimal Control.
CoRR
Sen Na, Sungho Shin, Mihai Anitescu, Victor M. Zavala
2020 A* conf
Semiparametric Nonlinear Bipartite Graph Representation Learning with Provable Guarantees.
ICML
Sen Na, Yuwei Luo, Zhuoran Yang, Zhaoran Wang, Mladen Kolar
2020 J jnl
Semiparametric Nonlinear Bipartite Graph Representation Learning with Provable Guarantees.
CoRR
Sen Na, Yuwei Luo, Zhuoran Yang, Zhaoran Wang, Mladen Kolar
2020 J jnl
Superconvergence of Online Optimization for Model Predictive Control.
CoRR
Sen Na, Mihai Anitescu
2019 — conf
A New Learning-Based One Shot Detection Framework for Natural Images.
ICANN (3)
Sen Na, Ruoyu Yan
2019 J jnl
Exponential Decay in the Sensitivity Analysis of Nonlinear Dynamic Programming.
CoRR
Sen Na, Mihai Anitescu
2019 J jnl
High-dimensional Varying Index Coefficient Models via Stein's Identity.
J. Mach. Learn. Res.
Sen Na, Zhuoran Yang, Zhaoran Wang, Mladen Kolar
2018 J jnl
High-dimensional Index Volatility Models via Stein's Identity.
CoRR
Sen Na, Mladen Kolar
2018 J jnl
High-dimensional Varying Index Coefficient Models via Stein's Identity.
CoRR
Sen Na, Zhuoran Yang, Zhaoran Wang, Mladen Kolar
2018 J jnl
The Graph-based Broad Behavior-Aware Recommendation System for Interactive News.
CoRR
Mingyuan Ma, Sen Na, Cong Xu, Xin Fan
2017 J jnl
Stochastic Strictly Contractive Peaceman-Rachford Splitting Method.
CoRR
Sen Na, Mingyuan Ma, Shuming Ma, Guangju Peng
2013 — conf
Combining MetaMap and cTAKES in Disorder Recognition: THCIB at CLEF eHealth Lab 2013 Task 1.
CLEF (Working Notes)
Yunqing Xia, Xiaoshi Zhong, Peng Liu, Cheng Tan, Sen Na, Qinan Hu, Yaohai Huang
2013 — conf
Concept-based Medical Document Retrieval: THCIB at CLEF eHealth Lab 2013 Task 3.
CLEF (Working Notes)
Xiaoshi Zhong, Yunqing Xia, Zhongda Xie, Sen Na, Qinan Hu, Yaohai Huang
2013 — conf
Normalization of Abbreviations/Acronyms: THCIB at CLEF eHealth 2013 Task 2.
CLEF (Working Notes)
Yunqing Xia, Xiaoshi Zhong, Peng Liu, Cheng Tan, Sen Na, Qinan Hu, Yaohai Huang
2013 C conf
Ranking Search Intents Underlying a Query.
NLDB
Yunqing Xia, Xiaoshi Zhong, Guoyu Tang, Junjun Wang, Qiang Zhou, Thomas Fang Zheng, Qinan Hu, Sen Na, Yaohai Huang
2013 — conf
Understanding the Query: THCIB and THUIS at NTCIR-10 Intent Task.
NTCIR
Junjun Wang, Guoyu Tang, Yunqing Xia, Qiang Zhou, Thomas Fang Zheng, Qinan Hu, Sen Na, Yaohai Huang