Na, Sen

9 publications

COLT 2025 Online Covariance Estimation in Nonsmooth Stochastic Approximation Liwei Jiang, Abhishek Roy, Krishnakumar Balasubramanian, Damek Davis, Dmitriy Drusvyatskiy, Sen Na

MLJ 2025 Panda: Partially Approximate Newton Methods for Distributed Minimax Optimization with Unbalanced Dimensions Minheng Xiao, Chengchang Liu, Cheng Chen, John C. S. Lui, Sen Na

JMLR 2025 Statistical Inference of Constrained Stochastic Optimization via Sketched Sequential Quadratic Programming Sen Na, Michael Mahoney

ICML 2023 Constrained Optimization via Exact Augmented Lagrangian and Randomized Iterative Sketching Ilgee Hong, Sen Na, Michael W. Mahoney, Mladen Kolar

NeurIPSW 2023 Online Covariance Matrix Estimation in Stochastic Inexact Newton Methods Wei Kuang, Sen Na, Mihai Anitescu

NeurIPSW 2022 Adaptive Inexact Sequential Quadratic Programming via Iterative Randomized Sketching Ilgee Hong, Sen Na, Mladen Kolar

NeurIPS 2021 Global Convergence of Online Optimization for Nonlinear Model Predictive Control Sen Na

ICML 2020 Semiparametric Nonlinear Bipartite Graph Representation Learning with Provable Guarantees Sen Na, Yuwei Luo, Zhuoran Yang, Zhaoran Wang, Mladen Kolar

JMLR 2019 High-Dimensional Varying Index Coefficient Models via Stein's Identity Sen Na, Zhuoran Yang, Zhaoran Wang, Mladen Kolar