N-Body Methods: Publications

Conference papers

• [1]

  Fast particle smoothing: if I had a million particles

  Mike Klaas‚ Mark Briers‚ Nando de Freitas‚ Arnaud Doucet‚ Simon Maskell and Dustin Lang

  In International Conference on Machine Learning (ICML). Pages 481–488. New York‚ NY‚ USA. 2006. ACM.

  Details about Fast particle smoothing: if I had a million particles | BibTeX data for Fast particle smoothing: if I had a million particles | DOI (10.1145/1143844.1143905) | Link to Fast particle smoothing: if I had a million particles

• [2]

  Fast maximum a posteriori inference in Monte Carlo state spaces

  Mike Klaas‚ Dustin Lang and Nando de Freitas

  In Artificial Intelligence and Statistics (AISTATS). 2005.

  Details about Fast maximum a posteriori inference in Monte Carlo state spaces | BibTeX data for Fast maximum a posteriori inference in Monte Carlo state spaces | Download (pdf) of Fast maximum a posteriori inference in Monte Carlo state spaces

• [3]

  N−Body Games

  Albert Jiang‚ Kevin Leyton−Brown and Nando de Freitas

  In NIPS workshop on Game Theory‚ Machine Learning and Reasoning under Uncertainty. 2005.

  Details about N−Body Games | BibTeX data for N−Body Games | Download (pdf) of N−Body Games

• [4]

  Toward Practical N² Monte Carlo: the Marginal Particle Filter

  Mike Klaas‚ Nando de Freitas and Arnaud Doucet

  In Uncertainty in Artificial Intelligence (UAI). Pages 308–315. Arlington‚ Virginia. 2005. AUAI Press.

  Details about Toward Practical N² Monte Carlo: the Marginal Particle Filter | BibTeX data for Toward Practical N² Monte Carlo: the Marginal Particle Filter | Download (pdf) of Toward Practical N² Monte Carlo: the Marginal Particle Filter

• [5]

  Fast Computational Methods for Visually Guided Robots

  M. Mahdaviani‚ N. de Freitas‚ B. Fraser and F. Hamze

  In IEEE International Conference on Robotics & Automation (ICRA). Pages 138–143. 2005.

  Details about Fast Computational Methods for Visually Guided Robots | BibTeX data for Fast Computational Methods for Visually Guided Robots | DOI (10.1109/ROBOT.2005.1570109) | Download (pdf) of Fast Computational Methods for Visually Guided Robots

• [6]

  Fast Krylov Methods for N−Body Learning

  Nando De Freitas‚ Yang Wang‚ Maryam Mahdaviani and Dustin Lang

  In Y. Weiss‚ B. Schölkopf and J. Platt, editors, Advances in Neural Information Processing Systems (NIPS). Pages 251–258. Cambridge‚ MA. 2005. MIT Press.

  Details about Fast Krylov Methods for N−Body Learning | BibTeX data for Fast Krylov Methods for N−Body Learning | Download (pdf) of Fast Krylov Methods for N−Body Learning

Technical reports

• [1]

  Empirical Testing of Fast Kernel Density Estimation Algorithms

  Dustin Lang‚ Mike Klaas and Nando de Freitas

  No. UBC TR−2005−03. University of British Columbia‚ Department of Computer Science. 2005.

  Details about Empirical Testing of Fast Kernel Density Estimation Algorithms | BibTeX data for Empirical Testing of Fast Kernel Density Estimation Algorithms | Download (pdf) of Empirical Testing of Fast Kernel Density Estimation Algorithms