1.2k citations
- Centre National de la Recherche ScientifiqueFR14 papers
- Institut national de recherche en sciences et technologies du numériqueFR14 papers
- National Institute of InformaticsJP13 papers
- SupélecFR13 papers
- University of Illinois ChicagoUS10 papers
- Technical University of MunichDE9 papers
- Laboratoire Informatique d'AvignonFR8 papers
- University College LondonGB8 papers
- University of EdinburghGB8 papers
- Sorbonne UniversitéFR7 papers
- Université Côte d'AzurFR7 papers
- University of Eastern FinlandFI7 papers
Showing 2016 · stat.MLShow all
3 papers · 2 filters
stat.ML2016★ 83 cited
Random Feature Expansions for Deep Gaussian Processes
Kurt Cutajar, Edwin V. Bonilla, Pietro Michiardi +1
The composition of multiple Gaussian Processes as a Deep Gaussian Process (DGP) enables a deep probabilistic nonparametric approach to flexibly tackle complex machine learning prob…
stat.ML2016★ 1 cited
Mini-Batch Spectral Clustering
Yufei Han, Maurizio Filippone
The cost of computing the spectrum of Laplacian matrices hinders the application of spectral clustering to large data sets. While approximations recover computational tractability,…
stat.ML2016★ 20 cited
Preconditioning Kernel Matrices
Kurt Cutajar, Michael A. Osborne, John P. Cunningham +1
The computational and storage complexity of kernel machines presents the primary barrier to their scaling to large, modern, datasets. A common way to tackle the scalability issue i…