A sequential set generation method for predicting set-valued outputsTian GaoJie Chenet al.2019AAAI 2019
Constrained generation of semantically valid graphs via regularizing variational autoencodersTengfei MaJie Chenet al.2018NeurIPS 2018
Learning low-complexity autoregressive models via proximal alternating minimizationFu LinJie Chen2018Systems and Control Letters
FastGCN: Fast learning with graph convolu-tional networks via importance samplingJie ChenTengfei Maet al.2018ICLR 2018
A posteriori error estimate for computing tr(f(A)) by using the Lanczos methodJie ChenYousef Saad2018Numer. Linear Algebra. Appl.
Hierarchically compositional kernels for scalable nonparametric learningJie ChenHaim Avronet al.2017JMLR
Learning low-complexity autoregressive models with limited time sequence dataFu LinJie Chen2017ACC 2017
An Inversion-Free Estimating Equations Approach for Gaussian Process ModelsMihai AnitescuJie Chenet al.2017Journal of Computational and Graphical Statistics
Revisiting random binning features: Fast convergence and strong parallelizabilityLingfei WuIan En Hsu Yenet al.2016KDD 2016