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Biography

I am currently an Assistant Professor in the H. Milton Stewart School of Industrial and Systems Engineering (ISyE) at Georgia Tech. Prior to joining ISyE, I was a postdoctoral researcher in the Department of Statistics and International Computer Science Institute (ICSI) at UC Berkeley, working with Michael W. Mahoney.

I received my Ph.D. degree in statistics from the University of Chicago in 2021, under the supervision of Mihai Anitescu and Mladen Kolar. Before attending UChicago, I received my B.S. degree in mathematics from Nanjing University in 2016.

I am broadly interested in the mathematical foundations of data science, with topics including high-dimensional statistics, graphical models, semiparametric models, optimal control, and large-scale and stochastic nonlinear optimization. I am also interested in the applications of machine learning methods in biology, neuroscience, and engineering.

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Employment (3)

Georgia Institute of Technology: Atlanta, US

2024-08-01 to present | Assistant Professor (School of Industrial and Systems Engineering)
Employment
Source: Self-asserted source
Sen Na

University of California, Berkeley: Berkeley, US

2021-09-15 to 2024-07-31 | Postdoctoral Researcher (ICSI and Department of Statistics)
Employment
Source: Self-asserted source
Sen Na

The University of Chicago: Chicago, IL, US

2016-09-01 to 2021-08-28 | PhD Student (Department of Statistics)
Employment
Source: Self-asserted source
Sen Na

Education and qualifications (4)

University of California at Berkeley: Berkeley, US

2021-09-15 to 2024-07-31 | Postdoc (ICSI and Department of Statistics)
Education
Source: Self-asserted source
Sen Na

University of Chicago: Chicago, US

2016-08-15 to 2021-08-08 | Ph.D. (Department of Statistics)
Education
Source: Self-asserted source
Sen Na

Nanjing University: Nanjing, CN

2012-09-01 to 2016-06-01 | B.S. (Department of Mathematics)
Education
Source: Self-asserted source
Sen Na

University of California, Davis: Davis, US

2015-03-01 to 2015-09-01 | Exchange Student (Department of Statistics)
Education
Source: Self-asserted source
Sen Na

Works (18)

Convergence Analysis of Accelerated Stochastic Gradient Descent Under the Growth Condition

Mathematics of Operations Research
2024-11 | Journal article
DOI: 10.1287/moor.2021.0293
Contributors: You-Lin Chen; Sen Na; Mladen Kolar
Source: check_circle
Crossref

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

SIAM Journal on Optimization
2024-06-30 | Journal article
DOI: 10.1137/22M1537862
Contributors: Yuchen Fang; Sen Na; Michael W. Mahoney; Mladen Kolar
Source: check_circle
Crossref

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

Mathematics of Operations Research
2024-05 | Journal article
DOI: 10.1287/moor.2023.1378
Contributors: Sen Na; Mihai Anitescu; Mladen Kolar
Source: check_circle
Crossref

Constrained Optimization via Exact Augmented Lagrangian and Randomized Iterative Sketching

Proceedings of the 40th International Conference on Machine Learning
2023 | Conference paper
URI:

https://proceedings.mlr.press/v202/hong23b.html
Contributors: Hong, Ilgee; Na, Sen; Mahoney, Michael W.; Kolar, Mladen; Krause, Andreas; Brunskill, Emma; Cho, Kyunghyun; Engelhardt, Barbara; Sabato, Sivan; Scarlett, Jonathan
Source: Self-asserted source
Sen Na

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

Mathematical Programming
2023-11 | Journal article
DOI: 10.1007/s10107-023-01935-7
Contributors: Sen Na; Mihai Anitescu; Mladen Kolar
Source: check_circle
Crossref

Hessian averaging in stochastic Newton methods achieves superlinear convergence

Mathematical Programming
2023-09 | Journal article
DOI: 10.1007/s10107-022-01913-5
Contributors: Sen Na; Michał Dereziński; Michael W. Mahoney
Source: check_circle
Crossref

An adaptive stochastic sequential quadratic programming with differentiable exact augmented lagrangians

Mathematical Programming
2023-05 | Journal article
DOI: 10.1007/s10107-022-01846-z
Contributors: Sen Na; Mihai Anitescu; Mladen Kolar
Source: check_circle
Crossref

Superconvergence of Online Optimization for Model Predictive Control

IEEE Transactions on Automatic Control
2023-03 | Journal article
DOI: 10.1109/TAC.2022.3223323
Contributors: Sen Na; Mihai Anitescu
Source: check_circle
Crossref

On the Convergence of Overlapping Schwarz Decomposition for Nonlinear Optimal Control

IEEE Transactions on Automatic Control
2022-11 | Journal article
DOI: 10.1109/TAC.2022.3194087
Contributors: Sen Na; Sungho Shin; Mihai Anitescu; Victor M. Zavala
Source: check_circle
Crossref

SFGAE: a Self-feature-based Graph Autoencoder Model for miRNA--disease Associations Prediction

Briefings in Bioinformatics
2022-09-20 | Journal article
DOI: 10.1093/bib/bbac340
Part of ISSN: 1467-5463
Part of ISSN: 1477-4054
Contributors: Mingyuan Ma; Sen Na; Xiaolu Zhang; Congzhou Chen; Jin Xu
Source: Self-asserted source
Sen Na

The graph-based behavior-aware recommendation for interactive news

Applied Intelligence
2022-01 | Journal article
DOI: 10.1007/s10489-021-02497-x
Part of ISSN: 0924-669X
Part of ISSN: 1573-7497
Contributors: Mingyuan Ma; Sen Na; Hongyu Wang; Congzhou Chen; Jin Xu
Source: Self-asserted source
Sen Na

Global Convergence of Online Optimization for Nonlinear Model Predictive Control

Advances in Neural Information Processing Systems
2021 | Conference paper
URI:

https://proceedings.neurips.cc/paper_files/paper/2021/file/67d16d00201083a2b118dd5128dd6f59-Paper.pdf
Contributors: Na, Sen; M. Ranzato; A. Beygelzimer; Y. Dauphin; P.S. Liang; J. Wortman Vaughan
Source: Self-asserted source
Sen Na

Estimating differential latent variable graphical models with applications to brain connectivity

Biometrika
2021-05-15 | Journal article
DOI: 10.1093/biomet/asaa066
Part of ISSN: 0006-3444
Part of ISSN: 1464-3510
Contributors: S Na; Mladen Kolar; O Koyejo
Source: Self-asserted source
Sen Na

High-dimensional index volatility models via Stein’s identity

Bernoulli
2021-05-01 | Journal article
DOI: 10.3150/20-bej1238
Part of ISSN: 1350-7265
Contributors: Sen Na; Mladen Kolar
Source: Self-asserted source
Sen Na

AEGCN: An Autoencoder-Constrained Graph Convolutional Network

Neurocomputing
2021-04 | Journal article
DOI: 10.1016/j.neucom.2020.12.061
Part of ISSN: 0925-2312
Contributors: Mingyuan Ma; Sen Na; Hongyu Wang
Source: Self-asserted source
Sen Na
grade
Preferred source (of 2)‎

Semiparametric Nonlinear Bipartite Graph Representation Learning with Provable Guarantees

Proceedings of the 37th International Conference on Machine Learning
2020 | Conference paper
URI:

https://proceedings.mlr.press/v119/na20a.html
Contributors: Na, Sen; Luo, Yuwei; Yang, Zhuoran; Wang, Zhaoran; Kolar, Mladen; III, Hal Daumé; Singh, Aarti
Source: Self-asserted source
Sen Na

Exponential Decay in the Sensitivity Analysis of Nonlinear Dynamic Programming

SIAM Journal on Optimization
2020-01 | Journal article
DOI: 10.1137/19m1265065
Part of ISSN: 1052-6234
Part of ISSN: 1095-7189
Contributors: Sen Na; Mihai Anitescu
Source: Self-asserted source
Sen Na

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

Journal of Machine Learning Research
2019 | Journal article
URI:

http://jmlr.org/papers/v20/18-705.html
Contributors: Sen Na; Zhuoran Yang; Zhaoran Wang; Mladen Kolar
Source: Self-asserted source
Sen Na

Peer review (2 reviews for 2 publications/grants)

Review activity for Computational optimization and applications. (1)
Review activity for Journal of scientific computing. (1)
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