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Sen Na
Sen Na
Assistant Professor in Industrial and Systems Engineering, Georgia Tech
Adresă de e-mail confirmată pe gatech.edu - Pagina de pornire
Titlu
Citat de
Citat de
Anul
An adaptive stochastic sequential quadratic programming with differentiable exact augmented lagrangians
S Na, M Anitescu, M Kolar
Mathematical Programming, 1-71, 2022
462022
Inequality constrained stochastic nonlinear optimization via active-set sequential quadratic programming
S Na, M Anitescu, M Kolar
Mathematical Programming 202 (1), 279-353, 2023
382023
AEGCN: An autoencoder-constrained graph convolutional network
M Ma, S Na, H Wang
Neurocomputing 432, 21-31, 2021
332021
The graph-based behavior-aware recommendation for interactive news
M Ma, S Na, H Wang, C Chen, J Xu
Applied Intelligence 52 (2), 1913-1929, 2022
272022
Estimating differential latent variable graphical models with applications to brain connectivity
S Na, M Kolar, O Koyejo
Biometrika 108 (2), 425-442, 2021
272021
Exponential decay in the sensitivity analysis of nonlinear dynamic programming
S Na, M Anitescu
SIAM Journal on Optimization 30 (2), 1527-1554, 2020
232020
Fully stochastic trust-region sequential quadratic programming for equality-constrained optimization problems
Y Fang, S Na, MW Mahoney, M Kolar
SIAM Journal on Optimization 34 (2), 2007-2037, 2024
212024
High-dimensional varying index coefficient models via Stein's identity
S Na, Z Yang, Z Wang, M Kolar
Journal of Machine Learning Research 20 (152), 1-44, 2019
212019
Statistical Inference of Constrained Stochastic Optimization via Sketched Sequential Quadratic Programming
S Na, MW Mahoney
Journal of Machine Learning Research, 2025
19*2025
Hessian averaging in stochastic Newton methods achieves superlinear convergence
S Na, M Dereziński, MW Mahoney
Mathematical Programming 201 (1), 473-520, 2023
192023
SFGAE: a self-feature-based graph autoencoder model for miRNA–disease associations prediction
M Ma, S Na, X Zhang, C Chen, J Xu
Briefings in Bioinformatics 23 (5), bbac340, 2022
172022
On the convergence of overlapping Schwarz decomposition for nonlinear optimal control
S Na, S Shin, M Anitescu, VM Zavala
IEEE Transactions on Automatic Control, 2020
172020
Superconvergence of online optimization for model predictive control
S Na, M Anitescu
IEEE Transactions on Automatic Control, 2020
152020
High-dimensional index volatility models via stein’s identity
S Na, M Kolar
Bernoulli 27 (2), 794-817, 2021
142021
Convergence analysis of accelerated stochastic gradient descent under the growth condition
YL Chen, S Na, M Kolar
Mathematics of Operations Research, 2021
9*2021
A fast temporal decomposition procedure for long-horizon nonlinear dynamic programming
S Na, M Anitescu, M Kolar
Mathematics of Operations Research, 2021
92021
Global convergence of online optimization for nonlinear model predictive control
S Na
Advances in Neural Information Processing Systems 34, 12441-12453, 2021
72021
Semiparametric nonlinear bipartite graph representation learning with provable guarantees
S Na, Y Luo, Z Yang, Z Wang, M Kolar
International Conference on Machine Learning, 7141-7152, 2020
72020
Constrained optimization via exact augmented lagrangian and randomized iterative sketching
I Hong, S Na, MW Mahoney, M Kolar
International Conference on Machine Learning, 13174-13198, 2023
42023
Sparse learning with semi-proximal-based strictly contractive Peaceman-Rachford splitting method
S Na, CJ Hsieh
arXiv preprint arXiv:1612.09357, 2016
42016
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Articole 1–20