@InProceedings{seeger_et_al:DagSemProc.09181.4,
  author =	{Seeger, Matthias and Nickisch, Hannes},
  title =	{{Large Scale Variational Inference and Experimental Design for Sparse Generalized Linear Models}},
  booktitle =	{Sampling-based Optimization in the Presence of Uncertainty},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2009},
  volume =	{9181},
  editor =	{J\"{u}rgen Branke and Barry L. Nelson and Warren Buckler Powell and Thomas J. Santner},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.09181.4},
  URN =		{urn:nbn:de:0030-drops-21148},
  doi =		{10.4230/DagSemProc.09181.4},
  annote =	{Keywords: Bayesian experimental design, variational inference, sparse estimation}
}