Paper accepted at ICML!

  • O. Arenz, M. Zhong, and G. Neumann, “Efficient Gradient-Free Variational Inference using Policy Search,” in Proceedings of the International Conference on Machine Learning, 2018.
    [BibTeX] [Download PDF]
    @inproceedings{VIPS_and_supplement,
    added-at = {2018-06-28T12:55:36.000+0200},
    author = {Arenz, O. and Zhong, M. and Neumann, G.},
    biburl = {https://www.bibsonomy.org/bibtex/2b82a0dfe17060b859497bcd1099dc194/gerineumann},
    booktitle = {Proceedings of the International Conference on Machine Learning},
    crossref = {p11147},
    interhash = {7e1e7d618e6ef764ac3aa8e6d39efed3},
    intrahash = {b82a0dfe17060b859497bcd1099dc194},
    key = {variational inference, policy search, sampling},
    keywords = {imported},
    timestamp = {2018-06-28T12:55:36.000+0200},
    title = {Efficient Gradient-Free Variational Inference using Policy Search},
    url = {https://www.ias.informatik.tu-darmstadt.de/uploads/Team/OlegArenz/VIPS_and_supplement.pdf},
    year = 2018
    }