897 citations · 2.2k across the 55 of their papers we have counts for
4 papers · 1 filter
Analyzing the Variance of Policy Gradient Estimators for the Linear-Quadratic Regulator
James A. Preiss, Sébastien M. R. Arnold, Chen-Yu Wei +1
We study the variance of the REINFORCE policy gradient estimator in environments with continuous state and action spaces, linear dynamics, quadratic cost, and Gaussian noise. These…
Two-sample Testing Using Deep Learning
Matthias Kirchler, Shahryar Khorasani, Marius Kloft +1
We propose a two-sample testing procedure based on learned deep neural network representations. To this end, we define two test statistics that perform an asymptotic location test…
Deep Semi-Supervised Anomaly Detection
Lukas Ruff, Robert A. Vandermeulen, Nico Görnitz +4
Deep approaches to anomaly detection have recently shown promising results over shallow methods on large and complex datasets. Typically anomaly detection is treated as an unsuperv…
Norm-based generalisation bounds for multi-class convolutional neural networks
Antoine Ledent, Waleed Mustafa, Yunwen Lei +1
We show generalisation error bounds for deep learning with two main improvements over the state of the art. (1) Our bounds have no explicit dependence on the number of classes exce…