Divide and Conquer in High-dimensional Statistical Models
Project: Research
Research Output
- 2023
- Published
On Optimal Learning With Random Features
Liu, J. & Lian, H., Nov 2023, In: IEEE Transactions on Neural Networks and Learning Systems. 34, 11, p. 9536-9541Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 4 - Published
SPARSE AND LOW-RANK MATRIX QUANTILE ESTIMATION WITH APPLICATION TO QUADRATIC REGRESSION
Lu, W., Zhu, Z. & Lian, H., Apr 2023, In: Statistica Sinica. 33, 2, p. 945-959Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 7 - Published
Sketched approximation of regularized canonical correlation analysis
Liu, J., Xu, W., Lin, H. & Lian, H., 2023, In: Communications in Statistics - Theory and Methods. 52, 19, p. 6960-6971Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
- 2022
- Published
PARTIALLY LINEAR ADDITIVE FUNCTIONAL REGRESSION
Liu, X., Lu, W., Lian, H., Liu, Y. & Zhu, Z., Oct 2022, In: Statistica Sinica. 32, 4, p. 2199-2216Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 3 - Published
High-dimensional quantile varying-coefficient models with dimension reduction
Zhao, W., Li, R. & Lian, H., Jan 2022, In: Metrika. 85, 1, p. 1–19Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 2 - Published
Debiased Distributed Learning for Sparse Partial Linear Models in High Dimensions
Lv, S. & Lian, H., 2022, In: Journal of Machine Learning Research. 23, 2.Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 13 - Published
Statistical Rates of Convergence for Functional Partially Linear Support Vector Machines for Classification
Zhang, Y., Zhao, Y.-Y. & Lian, H., 2022, In: Journal of Machine Learning Research. 23, p. 1-24Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 4 - 2021
- Published
Distributed learning for sketched kernel regression
Lian, H., Liu, J. & Fan, Z., Nov 2021, In: Neural Networks. 143, p. 368-376Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 10 - Published
Sketched quantile additive functional regression
Zhang, Y. & Lian, H., 21 Oct 2021, In: Neurocomputing. 461, p. 17-26Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
- Published
Optimal prediction for high-dimensional functional quantile regression in reproducing kernel Hilbert spaces
Yang, G., Liu, X. & Lian, H., Oct 2021, In: Journal of Complexity. 66, 101568.Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 5 - Published
Learning Rate for Convex Support Tensor Machines
Lian, H., Aug 2021, In: IEEE Transactions on Neural Networks and Learning Systems. 32, 8, p. 3755-3760 9174817.Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 5 - Published
A semiparametric model for matrix regression
Zhao, W., Zhang, X. & Lian, H., Apr 2021, In: Random Matrices: Theory and Application. 10, 2, 2250001.Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
- Published
Optimal prediction of quantile functional linear regression in reproducing kernel Hilbert spaces
Li, R., Lu, W., Zhu, Z. & Lian, H., Mar 2021, In: Journal of Statistical Planning and Inference. 211, p. 162-170Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 8 - Published
Approximate nonparametric quantile regression in reproducing kernel Hilbert spaces via random projection
Zhang, F., Li, R. & Lian, H., 8 Feb 2021, In: Information Sciences. 547, p. 244-254Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 9 - 2020
- Published
Nonlinear functional canonical correlation analysis via distance covariance
Zhu, H., Li, R., Zhang, R. & Lian, H., Nov 2020, In: Journal of Multivariate Analysis. 180, 15 p., 104662.Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 3 - Published
High-dimensional Quantile Tensor Regression
Lu, W., Zhu, Z. & Lian, H., Oct 2020, In: Journal of Machine Learning Research. 21, 250.Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 17 - Published
Partially functional linear regression in reproducing kernel Hilbert spaces
Cui, X., Lin, H. & Lian, H., Oct 2020, In: Computational Statistics and Data Analysis. 150, 106978.Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 13 - Published
Randomized sketches for kernel CCA
Lian, H., Zhang, F. & Lu, W., Jul 2020, In: Neural Networks. 127, p. 29-37Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 5 - Published
Asymptotics of the Non-parametric Function for B-splines-based Estimation in Partially Linear Models
Lian, H., Apr 2020, In: International Statistical Review. 88, 1, p. 142-154Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 4 - Published
FUNCTIONAL SLICED INVERSE REGRESSION IN A REPRODUCING KERNEL HILBERT SPACE: A THEORETICAL CONNECTION TO FUNCTIONAL LINEAR REGRESSION
Wang, G. & Lian, H., Jan 2020, In: Statistica Sinica. 30, 1, p. 17-33Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
