Unifying Divergence Minimization and Statistical Inference Via Convex Duality

Yasemin Altun, Alexander J. Smola. Unifying Divergence Minimization and Statistical Inference Via Convex Duality. In Gábor Lugosi, Hans-Ulrich Simon, editors, Learning Theory, 19th Annual Conference on Learning Theory, COLT 2006, Pittsburgh, PA, USA, June 22-25, 2006, Proceedings. Volume 4005 of Lecture Notes in Computer Science, pages 139-153, Springer, 2006. [doi]

@inproceedings{AltunS06,
  title = {Unifying Divergence Minimization and Statistical Inference Via Convex Duality},
  author = {Yasemin Altun and Alexander J. Smola},
  year = {2006},
  doi = {10.1007/11776420_13},
  url = {http://dx.doi.org/10.1007/11776420_13},
  researchr = {https://researchr.org/publication/AltunS06},
  cites = {0},
  citedby = {0},
  pages = {139-153},
  booktitle = {Learning Theory, 19th Annual Conference on Learning Theory, COLT 2006, Pittsburgh, PA, USA, June 22-25, 2006, Proceedings},
  editor = {Gábor Lugosi and Hans-Ulrich Simon},
  volume = {4005},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {3-540-35294-5},
}