The Ridgeless minimum ℓ_2-norm interpolator in overparametrized linear
r...
Understanding the stochastic behavior of random projections of geometric...
Let X_1,…,X_n be i.i.d. centered Gaussian vectors in ℝ^p
with covariance...
The Convex Gaussian Min-Max Theorem (CGMT) has emerged as a prominent
th...
In the standard Gaussian linear measurement model Y=Xμ_0+ξ∈ℝ^m with a fi...
We consider the nonparametric estimation of an S-shaped regression funct...
Distance covariance is a popular dependence measure for two random vecto...
The theory for multiplier empirical processes has been one of the centra...
Covariance matrix testing for high dimensional data is a fundamental pro...
In the Gaussian sequence model Y=μ+ξ, we study the likelihood ratio
test...
We consider the problem of inference for local parameters of a convex
re...
In the Gaussian sequence model Y= θ_0 + ε in R^n,
we study the fundament...
We consider the problem of constructing pointwise confidence intervals i...
This paper derives Berry-Esseen bounds for an important class of non-sta...
We study limit distributions for the tuning-free max-min block estimator...
In this paper, we develop a general approach to proving global and local...
Entropy integrals are widely used as a powerful tool to obtain upper bou...
Classical least squares estimators are well-known to be robust with resp...
The Stochastic Block Model (SBM) is a widely used random graph model for...