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Kun Dong
Kun Dong
Verified email at cornell.edu
Title
Cited by
Cited by
Year
Scalable log determinants for Gaussian process kernel learning
K Dong, D Eriksson, H Nickisch, D Bindel, AG Wilson
Advances in Neural Information Processing Systems, 2017
802017
Scaling Gaussian process regression with derivatives
D Eriksson, K Dong, EH Lee, D Bindel, AG Wilson
Advances in Neural Information Processing Systems, 2018
692018
Interpolative separable density fitting through centroidal voronoi tessellation with applications to hybrid functional electronic structure calculations
K Dong, W Hu, L Lin
Journal of Chemical Theory and Computation 14 (3), 1311-1320, 2018
322018
Network density of states
K Dong, AR Benson, D Bindel
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019
302019
Advising caution in studying seasonal oscillations in crime rates
K Dong, Y Cao, B Siercke, M Wilber, SG McCalla
PLoS one 12 (9), e0185432, 2017
82017
On-the-Fly Rectification for Robust Large-Vocabulary Topic Inference
M Lee, S Cho, K Dong, D Mimno, D Bindel
International Conference on Machine Learning, 6087-6097, 2021
2021
MODIFIED KERNEL POLYNOMIAL METHOD FOR ESTIMATING GRAPH SPECTRA
DS Bindel, K Dong
Stochastic Estimators in Gaussian Process Kernel Learning
D Bindel, K Dong, D Eriksson, A Wilson
HOUSEHOLDER SYMPOSIUM XX PROGRAM AND ABSTRACTS, 32, 0
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