We propose , a preconditioned gradient descent
method to tackle the low-...
Empirical Bayes (EB) is a popular framework for large-scale inference th...
The Convex Gaussian Min-Max Theorem (CGMT) has emerged as a prominent
th...
The Gaussian-smoothed optimal transport (GOT) framework, pioneered in
Go...
The Bradley-Terry-Luce (BTL) model is a benchmark model for pairwise
com...
Distance covariance is a popular dependence measure for two random vecto...
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...
In the Gaussian sequence model Y= θ_0 + ε in R^n,
we study the fundament...
We establish exponential inequalities for a class of V-statistics under
...
Consider the heteroscedastic nonparametric regression model with random
...
We establish exponential inequalities and Cramer-type moderate deviation...