Sen Na
Title
Cited by
Cited by
Year
Estimating differential latent variable graphical models with applications to brain connectivity
S Na, M Kolar, O Koyejo
arXiv preprint arXiv:1909.05892, 2019
92019
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
52019
Sparse learning with semi-proximal-based strictly contractive Peaceman-Rachford splitting method
S Na, CJ Hsieh
arXiv preprint arXiv:1612.09357, 2016
42016
Exponential decay in the sensitivity analysis of nonlinear dynamic programming
S Na, M Anitescu
SIAM Journal on Optimization 30 (2), 1527-1554, 2020
32020
The graph-based broad behavior-aware recommendation system for interactive news
M Ma, S Na, C Xu, X Fan
arXiv preprint arXiv:1812.00002, 2018
32018
High-dimensional Index Volatility Models via Stein's Identity
S Na, M Kolar
arXiv preprint arXiv:1811.10790, 2018
32018
Overlapping Schwarz Decomposition for Nonlinear Optimal Control
S Na, S Shin, M Anitescu, VM Zavala
arXiv preprint arXiv:2005.06674, 2020
12020
Semiparametric Nonlinear Bipartite Graph Representation Learning with Provable Guarantees
S Na, Y Luo, Z Yang, Z Wang, M Kolar
arXiv preprint arXiv:2003.01013, 2020
12020
Superconvergence of Online Optimization for Model Predictive Control
S Na, M Anitescu
arXiv preprint arXiv:2001.03707, 2020
12020
Scalable Peaceman-Rachford Splitting Method with Proximal Terms
S Na, M Ma, M Kolar
arXiv preprint arXiv:1711.04955, 2017
2017
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Articles 1–10