Huang, Kejun

9 publications

ICLR 2025 Global Identifiability of Overcomplete Dictionary Learning via L1 and Volume Minimization Yuchen Sun, Kejun Huang
NeurIPS 2023 Global Identifiability of $\ell_1$-Based Dictionary Learning via Matrix Volume Optimization Jingzhou Hu, Kejun Huang
TMLR 2022 Stochastic Douglas-Rachford Splitting for Regularized Empirical Risk Minimization: Convergence, Mini-Batch, and Implementation Aysegul Bumin, Kejun Huang
NeurIPS 2020 Finding Second-Order Stationary Points Efficiently in Smooth Nonconvex Linearly Constrained Optimization Problems Songtao Lu, Meisam Razaviyayn, Bo Yang, Kejun Huang, Mingyi Hong
NeurIPS 2019 Crowdsourcing via Pairwise Co-Occurrences: Identifiability and Algorithms Shahana Ibrahim, Xiao Fu, Nikolaos Kargas, Kejun Huang
ICML 2019 Detecting Overlapping and Correlated Communities Without Pure Nodes: Identifiability and Algorithm Kejun Huang, Xiao Fu
ICML 2018 Learning Hidden Markov Models from Pairwise Co-Occurrences with Application to Topic Modeling Kejun Huang, Xiao Fu, Nicholas Sidiropoulos
AAAI 2018 On Convergence of Epanechnikov Mean Shift Kejun Huang, Xiao Fu, Nicholas D. Sidiropoulos
NeurIPS 2016 Anchor-Free Correlated Topic Modeling: Identifiability and Algorithm Kejun Huang, Xiao Fu, Nikolaos D. Sidiropoulos