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Journal/Conference paper
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Date
2024
2023
2022
2021
2020
2019
1
.
Distributed Sequential Quadratic Programming with Overlapping Graph Decomposition and Exact Augmented Lagrangian
Runxin Ni
,
Sen Na
,
Sungho Shin
,
Mihai Anitescu
arXiv preprint arXiv:2402.17170
, 2024.
Cite
arXiv
2
.
Fully Stochastic Trust-Region Sequential Quadratic Programming for Equality-Constrained Optimization Problems
Yuchen Fang
,
Sen Na
,
Michael W. Mahoney
,
Mladen Kolar
SIAM Journal on Optimization
, 2024.
Cite
DOI
arXiv
3
.
An Asymptotically Optimal Method for Constrained Stochastic Optimization
Sen Na
,
Yihang Gao
,
Michael K. Ng
,
Michael W. Mahoney
in submission
, 2024.
Cite
PDF
4
.
Online Covariance Matrix Estimation in Stochastic Inexact Newton Methods
Wei Kuang
,
Sen Na
,
Michael W. Mahoney
,
Mihai Anitescu
A short note is accepted by 2023 NeurIPS Optimization for Machine Learning (OPT) workshop
, 2023.
5
.
Convergence Analysis of Accelerated Stochastic Gradient Descent under the Growth Condition
You-Lin Chen
,
Sen Na
,
Mladen Kolar
Mathematics of Operations Research
, 2023.
Cite
DOI
arXiv
6
.
Constrained Optimization via Exact Augmented Lagrangian and Randomized Iterative Sketching
Ilgee Hong
,
Sen Na
,
Michael W. Mahoney
,
Mladen Kolar
International Conference on Machine Learning
, 2023.
Cite
arXiv
7
.
A Fast Temporal Decomposition Procedure for Long-horizon Nonlinear Dynamic Programming
Sen Na
,
Mihai Anitescu
,
Mladen Kolar
Mathematics of Operations Research
, 2023.
Cite
DOI
arXiv
8
.
Inequality Constrained Stochastic Nonlinear Optimization via Active-Set Sequential Quadratic Programming
Sen Na
,
Mihai Anitescu
,
Mladen Kolar
Mathematical Programming
, 2023.
Cite
DOI
arXiv
9
.
Superconvergence of Online Optimization for Model Predictive Control
Sen Na
,
Mihai Anitescu
IEEE Transactions on Automatic Control
, 2023.
Cite
DOI
arXiv
10
.
Trust-Region Sequential Quadratic Programming for Stochastic Optimization with Random Models
Yuchen Fang
,
Sen Na
,
Michael W. Mahoney
,
Mladen Kolar
A short note is accepted by 2022 NeurIPS Higher-Order Optimization in Machine Learning (HOO) workshop
, 2023.
11
.
Hessian Averaging in Stochastic Newton Methods Achieves Superlinear Convergence
Sen Na
,
Michał Dereziński
,
Michael W. Mahoney
Mathematical Programming
, 2022.
Cite
DOI
arXiv
12
.
On the Convergence of Overlapping Schwarz Decomposition for Nonlinear Optimal Control
Sen Na
,
Sungho Shin
,
Mihai Anitescu
,
Victor M. Zavala
IEEE Transactions on Automatic Control
, 2022.
Cite
DOI
arXiv
13
.
Near-Optimal Performance of Stochastic Predictive Control
Sungho Shin
,
Sen Na
,
Mihai Anitescu
arXiv preprint arXiv:2210.08599
, 2022.
Cite
arXiv
14
.
SFGAE: a Self-feature-based Graph Autoencoder Model for miRNA--disease Associations Prediction
Mingyuan Ma
,
Sen Na
,
Xiaolu Zhang
,
Congzhou Chen
,
Jin Xu
Briefings in Bioinformatics
, 2022.
Cite
DOI
15
.
An Adaptive Stochastic Sequential Quadratic Programming with Differentiable Exact Augmented Lagrangians
Sen Na
,
Mihai Anitescu
,
Mladen Kolar
Mathematical Programming
, 2022.
Cite
DOI
arXiv
16
.
Statistical Inference of Constrained Stochastic Optimization via Sketched Sequential Quadratic Programming
Sen Na
,
Michael W. Mahoney
arXiv preprint arXiv:2205.13687
, 2022.
Cite
arXiv
17
.
Global Convergence of Online Optimization for Nonlinear Model Predictive Control
Sen Na
Advances in Neural Information Processing Systems
, 2021.
Cite
URL
18
.
The Graph-Based Behavior-Aware Recommendation for Interactive News
Mingyuan Ma
,
Sen Na
,
Hongyu Wang
,
Congzhou Chen
,
Jin Xu
Applied Intelligence
, 2021.
Cite
DOI
arXiv
19
.
High-dimensional Index Volatility Models via Stein's Identity
Sen Na
,
Mladen Kolar
Bernoulli
, 2021.
Cite
DOI
arXiv
20
.
AEGCN: An Autoencoder-Constrained Graph Convolutional Network
Mingyuan Ma
,
Sen Na
,
Hongyu Wang
Neurocomputing
, 2021.
Cite
DOI
arXiv
21
.
Estimating Differential Latent Variable Graphical Models with Applications to Brain Connectivity
Sen Na
,
Mladen Kolar
,
Oluwasanmi Koyejo
Biometrika
, 2020.
Cite
DOI
arXiv
22
.
Semiparametric Nonlinear Bipartite Graph Representation Learning with Provable Guarantees
Sen Na
,
Yuwei Luo
,
Zhuoran Yang
,
Zhaoran Wang
,
Mladen Kolar
International Conference on Machine Learning
, 2020.
Cite
URL
arXiv
23
.
Exponential Decay in the Sensitivity Analysis of Nonlinear Dynamic Programming
Sen Na
,
Mihai Anitescu
SIAM Journal on Optimization
, 2020.
Cite
DOI
arXiv
24
.
High-dimensional Varying Index Coefficient Models via Stein's Identity
Sen Na
,
Zhuoran Yang
,
Zhaoran Wang
,
Mladen Kolar
Journal of Machine Learning Research
, 2019.
Cite
URL
arXiv
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