In non-asymptotic statistical inferences, variance-type parameters of
su...
Despite the great interest in the bandit problem, designing efficient
al...
The Maximum Likelihood Estimator (MLE) serves an important role in stati...
This paper studies the consistency and statistical inference of simulate...
For the differential privacy under the sub-Gamma noise, we derive the
as...
This paper studies the non-asymptotic merits of the double
ℓ_1-regulariz...
Arising in high-dimensional probability, non-asymptotic concentration
in...
Computed tomography is widely used to examine internal structures in a
n...
This paper aims to build an estimate of an unknown density of the data w...