229 citations · 279 across the 5 of their papers we have counts for
5 papers
Memory Lens: How Much Memory Does an Agent Use?
Christoph Dann, Katja Hofmann, Sebastian Nowozin
We propose a new method to study the internal memory used by reinforcement learning policies. We estimate the amount of relevant past information by estimating mutual information b…
Probabilistic Duality for Parallel Gibbs Sampling without Graph Coloring
Lars Mescheder, Sebastian Nowozin, Andreas Geiger
We present a new notion of probabilistic duality for random variables involving mixture distributions. Using this notion, we show how to implement a highly-parallelizable Gibbs sam…
DeepCoder: Learning to Write Programs
Matej Balog, Alexander L. Gaunt, Marc Brockschmidt +2
We develop a first line of attack for solving programming competition-style problems from input-output examples using deep learning. The approach is to train a neural network to pr…
A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems
Jörg H. Kappes, Bjoern Andres, Fred A. Hamprecht +10
Szeliski et al. published an influential study in 2006 on energy minimization methods for Markov Random Fields (MRF). This study provided valuable insights in choosing the best opt…
Improved Information Gain Estimates for Decision Tree Induction
Sebastian Nowozin
Ensembles of classification and regression trees remain popular machine learning methods because they define flexible non-parametric models that predict well and are computationall…