Publications

1. Fully Stochastic Trust-Region Sequential Quadratic Programming for Equality-Constrained Optimization Problems
Yuchen Fang, Sen Na, Michael W. Mahoney, Mladen Kolar
To appear in SIAM Journal on Optimization, 2024.
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2. An Asymptotically Optimal Method for Constrained Stochastic Optimization
Sen Na, Yihang Gao, Michael K. Ng, Michael W. Mahoney
In submission to Annals of Statistics, 2024.
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3. 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.
4. Convergence Analysis of Accelerated Stochastic Gradient Descent under the Growth Condition
You-Lin Chen, Sen Na, Mladen Kolar
To appear in Mathematics of Operations Research, 2023.
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5. 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.
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6. A Fast Temporal Decomposition Procedure for Long-horizon Nonlinear Dynamic Programming
Sen Na, Mihai Anitescu, Mladen Kolar
Mathematics of Operations Research, 2023.
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7. Inequality Constrained Stochastic Nonlinear Optimization via Active-Set Sequential Quadratic Programming
Sen Na, Mihai Anitescu, Mladen Kolar
Mathematical Programming, 2023.
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8. Superconvergence of Online Optimization for Model Predictive Control
Sen Na, Mihai Anitescu
IEEE Transactions on Automatic Control, 2023.
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9. 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.
10. Hessian Averaging in Stochastic Newton Methods Achieves Superlinear Convergence
Sen Na, Michał Dereziński, Michael W. Mahoney
Mathematical Programming, 2022.
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11. 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.
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12. Near-Optimal Performance of Stochastic Predictive Control
Sungho Shin, Sen Na, Mihai Anitescu
arXiv preprint arXiv:2210.08599, 2022.
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13. 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.
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14. An Adaptive Stochastic Sequential Quadratic Programming with Differentiable Exact Augmented Lagrangians
Sen Na, Mihai Anitescu, Mladen Kolar
Mathematical Programming, 2022.
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15. Statistical Inference of Constrained Stochastic Optimization via Sketched Sequential Quadratic Programming
Sen Na, Michael W. Mahoney
arXiv preprint arXiv:2205.13687, 2022.
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16. Global Convergence of Online Optimization for Nonlinear Model Predictive Control
Sen Na
Advances in Neural Information Processing Systems, 2021.
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17. The Graph-Based Behavior-Aware Recommendation for Interactive News
Mingyuan Ma, Sen Na, Hongyu Wang, Congzhou Chen, Jin Xu
Applied Intelligence, 2021.
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18. High-dimensional Index Volatility Models via Stein's Identity
Sen Na, Mladen Kolar
Bernoulli, 2021.
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19. AEGCN: An Autoencoder-Constrained Graph Convolutional Network
Mingyuan Ma, Sen Na, Hongyu Wang
Neurocomputing, 2021.
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20. Estimating Differential Latent Variable Graphical Models with Applications to Brain Connectivity
Sen Na, Mladen Kolar, Oluwasanmi Koyejo
Biometrika, 2020.
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21. 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
22. Exponential Decay in the Sensitivity Analysis of Nonlinear Dynamic Programming
Sen Na, Mihai Anitescu
SIAM Journal on Optimization, 2020.
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23. 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