1 citations · 1 across the 4 of their papers we have counts for
4 papers
A stronger Sylvester's criterion for positive semidefinite matrices
Mingrui Zhang, Peng Ding
Sylvester's criterion characterizes positive definite (PD) and positive semidefinite (PSD) matrices without the need of eigendecomposition. It states that a symmetric matrix is PD…
When is it worthwhile to jackknife? Breaking the quadratic barrier for Z-estimators
Licong Lin, Fangzhou Su, Wenlong Mou +2
Resampling methods are especially well-suited to inference with estimators that provide only "black-box'' access. Jackknife is a form of resampling, widely used for bias correction…
A decorrelation method for general regression adjustment in randomized experiments
Fangzhou Su, Wenlong Mou, Peng Ding +1
We study regression adjustment with general function class approximations for estimating the average treatment effect in the design-based setting. Standard regression adjustment in…
Benign overfitting beyond prediction: The ordinary least squares interpolator
Dennis Shen, Dogyoon Song, Peng Ding +1
Recent advances in deep learning have highlighted the phenomenon of benign overfitting in overparameterized statistical models, sparking significant interest in understanding its f…