P. Zhao

发表

Grouped and Hierarchical Model Selection through Composite Absolute Penalties

P. Zhao, Guilherme V. Rocha, Bin Yu, 2007 .

The composite absolute penalties family for grouped and hierarchical variable selection

P. Zhao, Guilherme V. Rocha, Bin Yu, 2009, 0909.0411.

On Model Selection Consistency of Lasso

Peng Zhao, Bin Yu, P. Zhao, 2006, J. Mach. Learn. Res..

P. Zhao, 2004 .

GROUPED AND HIERARCHICAL VARIABLE SELECTION

P. Zhao, Guilherme V. Rocha, Bin Yu, 2007 .

Implicit regularization via hadamard product over-parametrization in high-dimensional linear regression

P. Zhao, Yun Yang, Qiaochu He, 2019 .

A path following algorithm for Sparse Pseudo-Likelihood Inverse Covariance Estimation (SPLICE)

P. Zhao, Guilherme V. Rocha, Bin Yu, 2008, 0807.3734.

Stagewise Lasso

Peng Zhao, Bin Yu, P. Zhao, 2007, J. Mach. Learn. Res..

Matrix Quantile Factor Model

P. Zhao, Y. Liu, Xinbing Kong, 2022, 2208.08693.

DOMAIN SPLITTING IN REGRESSION ANALYSIS

P. Zhao, H. Müller, 2003 .

On a Semiparametric Variance Function Model and a Test for Heteroscedasticity

Hans-Georg Müller, P. Zhao, H. Müller, 1995 .

Matrix Quantile Factor Model

P. Zhao, Y. Liu, Xinbing Kong, 2022, 2208.08693.

Semiparametric inference in a partial linear model

P. K. Bhattacharya, P. Zhao, Peng-Liang Zhao, 1997 .

Almost sure uniform convergence rates for M-smoothers with non-monotone score functions

P. K. Bhattacharya, P. Zhao, 1993 .

Asymptotics of kernel estimators based on local maximum likelihood

P. Zhao, Peng-Liang Zhao, 1994 .

Implicit regularization via hadamard product over-parametrization in high-dimensional linear regression

P. Zhao, Yun Yang, Qiaochu He, 2019 .

High-Dimensional Linear Regression via Implicit Regularization

P. Zhao, Qiaochu He, Yun Yang, 2019, 1903.09367.

Submitted to the Annals of Statistics THE COMPOSITE ABSOLUTE PENALTIES FAMILY FOR GROUPED AND HIERARCHICAL VARIABLE SELECTION By Peng

P. Zhao, Guilherme V. Rocha, Bin Yu, 2007 .

On Model Selection Consistency of Lasso On Model Selection Consistency of Lasso

P. Zhao, 2006 .