538 citations
- University College LondonGB83 papers
- University of CambridgeGB12 papers
- University of OxfordGB12 papers
- Institut national de recherche en sciences et technologies du numériqueFR8 papers
- Max Planck Institute for Intelligent SystemsDE7 papers
- University of LondonGB7 papers
- Gatsby Charitable FoundationGB6 papers
- The Institute of Statistical MathematicsJP6 papers
- University of BristolGB6 papers
- Google DeepMind (United Kingdom)GB4 papers
- Princeton UniversityUS4 papers
- University of California, BerkeleyUS4 papers
Showing 2020 · cs.LGShow all
3 papers · 2 filters
cs.LG2020★ 1 cited
Efficient Wasserstein Natural Gradients for Reinforcement Learning
Ted Moskovitz, Michael Arbel, Ferenc Huszar +1
A novel optimization approach is proposed for application to policy gradient methods and evolution strategies for reinforcement learning (RL). The procedure uses a computationally…
cs.LG2020★ 18 cited
Neural Ensemble Search for Uncertainty Estimation and Dataset Shift
Sheheryar Zaidi, Arber Zela, Thomas Elsken +3
Ensembles of neural networks achieve superior performance compared to stand-alone networks in terms of accuracy, uncertainty calibration and robustness to dataset shift. \emph{Deep…
cs.LG2020★ 4 cited
Model Reuse with Reduced Kernel Mean Embedding Specification
Xi-Zhu Wu, Wenkai Xu, Song Liu +1
Given a publicly available pool of machine learning models constructed for various tasks, when a user plans to build a model for her own machine learning application, is it possibl…