This paper considers an empirical risk minimization problem under
heavy-...
Instance-wise feature selection and ranking methods can achieve a good
s...
Given a traversal algorithm, cover time is the expected number of steps
...
We study an important variant of the stochastic multi-armed bandit (MAB)...
In this paper, we provide an extension of confidence sequences for setti...
Best subset selection is considered the `gold standard' for many sparse
...
The assumption that response and predictor belong to the same statistica...
In this work, we propose a non-parametric and robust change detection
al...
The bifactor model and its extensions are multidimensional latent variab...
A common goal in network modeling is to uncover the latent community
str...
In this work, we study the event occurrences of user activities on onlin...
We propose a latent topic model with a Markovian transition for process ...
Process data, temporally ordered categorical observations, are of recent...