We consider the task of heavy-tailed statistical estimation given stream...
Modern policy gradient algorithms, notably Proximal Policy Optimization
...
We obtain a robust and computationally efficient estimator for Linear
Re...
We consider the problem of designing minimax estimators for estimating t...
In this paper, we develop connections between two seemingly disparate, b...
In this work we formally define the notions of adversarial perturbations...
We provide a new computationally-efficient class of estimators for risk
...
To cope with the high level of ambiguity faced in domains such as Comput...