Jie Chen
Jie Chen
IBM Research
Verifierad e-postadress på us.ibm.com - Startsida
TitelCiteras avÅr
Fast approximate kNN graph construction for high dimensional data via recursive Lanczos bisection
J Chen, H Fang, Y Saad
Journal of Machine Learning Research 10 (Sep), 1989-2012, 2009
2132009
Dense subgraph extraction with application to community detection
J Chen, Y Saad
IEEE Transactions on Knowledge and Data Engineering 24 (7), 1216-1230, 2012
1732012
Trace optimization and eigenproblems in dimension reduction methods
E Kokiopoulou, J Chen, Y Saad
Numerical Linear Algebra with Applications 18 (3), 565-602, 2011
1342011
FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling
J Chen, T Ma, C Xiao
arXiv preprint arXiv:1801.10247, 2018
1142018
Architectural modeling from sparsely scanned range data
J Chen, B Chen
International Journal of Computer Vision 78 (2), 223-236, 2008
872008
On the tensor SVD and the optimal low rank orthogonal approximation of tensors
J Chen, Y Saad
SIAM Journal on Matrix Analysis and Applications 30 (4), 1709-1734, 2009
802009
A matrix-free approach for solving the parametric Gaussian process maximum likelihood problem
M Anitescu, J Chen, L Wang
SIAM Journal on Scientific Computing 34 (1), A240-A262, 2012
662012
Stochastic approximation of score functions for Gaussian processes
M Stein, J Chen, M Anitescu
Annals of Applied Statistics 7 (2), 1162--1191, 2013
642013
Algebraic distance on graphs
J Chen, I Safro
SIAM Journal on Scientific Computing 33 (6), 3468-3490, 2011
552011
Lanczos vectors versus singular vectors for effective dimension reduction
J Chen, Y Saad
IEEE Transactions on Knowledge and Data Engineering 21 (8), 1091-1103, 2009
542009
Computing f(A)b via Least Squares Polynomial Approximations
J Chen, M Anitescu, Y Saad
SIAM Journal on Scientific Computing 33 (1), 195-222, 2011
492011
Fast Estimation of via Stochastic Lanczos Quadrature
S Ubaru, J Chen, Y Saad
SIAM Journal on Matrix Analysis and Applications 38 (4), 1075-1099, 2017
342017
Revisiting random binning features: Fast convergence and strong parallelizability
L Wu, IEH Yen, J Chen, R Yan
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge …, 2016
272016
Efficient one-vs-one kernel ridge regression for speech recognition
J Chen, L Wu, K Audhkhasi, B Kingsbury, B Ramabhadrari
2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016
252016
A fast summation tree code for Matérn kernel
J Chen, L Wang, M Anitescu
SIAM Journal on Scientific Computing 36 (1), A289-A309, 2014
222014
Difference filter preconditioning for large covariance matrices
ML Stein, J Chen, M Anitescu
SIAM Journal on Matrix Analysis and Applications 33 (1), 52-72, 2012
212012
Constrained Generation of Semantically Valid Graphs via Regularizing Variational Autoencoders
T Ma, J Chen, C Xiao
Advances in Neural Information Processing Systems, 7113-7124, 2018
192018
An inversion-free estimating equations approach for gaussian process models
M Anitescu, J Chen, ML Stein
Journal of Computational and Graphical Statistics 26 (1), 98-107, 2017
172017
Analysis and practical use of flexible BiCGStab
J Chen, LC McInnes, H Zhang
Journal of Scientific Computing 68 (2), 803-825, 2016
172016
Hierarchically compositional kernels for scalable nonparametric learning
J Chen, H Avron, V Sindhwani
Journal of Machine Learning Research 18 (66), 1-42, 2017
112017
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Artiklar 1–20