Articles with public access mandates - Yun Yang - US National Science FoundationLearn more
NoteFor this mandate, articles should be available from specific locations.
Not available based on mandate: 4
Implicit regularization via Hadamard product over-parametrization in high-dimensional linear regression
P Zhao, Y Yang, QC He
arXiv preprint arXiv:1903.09367 2 (4), 8, 2019
High-dimensional linear regression via implicit regularization
P Zhao, Y Yang, QC He
Biometrika 109 (4), 1033-1046, 2022
Minimax rate of distribution estimation on unknown submanifolds under adversarial losses
R Tang, Y Yang
The Annals of Statistics 51 (3), 1282-1308, 2023
Propagation-aware temporal verification for parallel business cloud workflows
H Luo, X Liu, J Liu, Y Yang
2017 IEEE International Conference on Web Services (ICWS), 106-113, 2017
Available based on mandate: 14
Hanson–Wright inequality in Hilbert spaces with application to -means clustering for non-Euclidean data
X Chen, Y Yang
Distributed estimation for principal component analysis: An enlarged eigenspace analysis
X Chen, JD Lee, H Li, Y Yang
Journal of the American Statistical Association 117 (540), 1775-1786, 2022
Skyformer: Remodel self-attention with gaussian kernel and nystr\" om method
Y Chen, Q Zeng, H Ji, Y Yang
Advances in Neural Information Processing Systems 34, 2122-2135, 2021
Cutoff for exact recovery of gaussian mixture models
X Chen, Y Yang
IEEE Transactions on Information Theory 67 (6), 4223-4238, 2021
Wasserstein -means for clustering probability distributions
Y Zhuang, X Chen, Y Yang
Advances in Neural Information Processing Systems 35, 11382-11395, 2022
Fast statistical leverage score approximation in kernel ridge regression
Y Chen, Y Yang
International Conference on Artificial Intelligence and Statistics, 2935-2943, 2021
Diffusion k-means clustering on manifolds: provable exact recovery via semidefinite relaxations
X Chen, Y Yang
Applied and Computational Harmonic Analysis 52, 303-347, 2021
Mean-field nonparametric estimation of interacting particle systems
R Yao, X Chen, Y Yang
Conference on Learning Theory, 2242-2275, 2022
Accumulations of projections—a unified framework for random sketches in kernel ridge regression
Y Chen, Y Yang
International Conference on Artificial Intelligence and Statistics, 2953-2961, 2021
A Gromov-Wasserstein geometric view of spectrum-preserving graph coarsening
Y Chen, R Yao, Y Yang, J Chen
International Conference on Machine Learning, 5257-5281, 2023
Gaussian processes with errors in variables: Theory and computation
S Zhou, D Pati, T Wang, Y Yang, RJ Carroll
Journal of Machine Learning Research 24 (87), 1-53, 2023
Computationally efficient Bayesian sequential function monitoring
W Shamp, R Varbanov, E Chicken, A Linero, Y Yang
Journal of Quality Technology 54 (1), 1-19, 2021
Likelihood adjusted semidefinite programs for clustering heterogeneous data
Y Zhuang, X Chen, Y Yang
International Conference on Machine Learning, 43326-43346, 2023
Nonparametric testing under randomized sketching
M Liu, Z Shang, Y Yang, G Cheng
IEEE transactions on pattern analysis and machine intelligence 44 (8), 4280-4290, 2021
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