Nonparametric Bayesian Readings Spring 2009
Thursdays 4-5pm in CS 7331. Papers: 1/22, 1/29 Tutorial on Bayesian Machine Learning Zoubin Ghahramani ICML 2004 tutorial Bayesian Inference: An Introduction to Principles and Practice in Machine Learning Michael E. Tipping In O. Bousquet, U. von Luxburg, and G. Ratsch (Eds.), Advanced Lectures on Machine Learning, pp. 41-62. Springer. 2/5 (Gaussian Processes), 2/12 (Dirichlet Processes) Nonparametric Bayesian Methods Zoubin Ghahramani UAI 2005 Tutorial Dirichlet Processes---MLSS 2007 Y.W. Teh. Machine Learning Summer School 2007 Tutorial and Practical Course. 2/19, 2/26, 3/6 (DPMM) Volker Tresp Dirichlet Processes and Nonparametric Bayesian Modelling Neal, R.M. (2000). Markov chain sampling methods for Dirichlet process mixture models. Journal of Computational and Graphical Statistics, 9, 249-265. Rasmussen, C.E. (2000). The infinite gaussian mixture model. In Advances in Neural Information Processing Systems 12. Cambridge, MA: MIT Press. 3/13 1:15pm Room 4310 (HDP) (note the date/time/room change) Hierarchical Dirichlet Processes Teh, Jordan, Beal and Blei, 2006 3/19, 3/27 (IBP) Bayesian nonparametric latent feature models Griffiths and Ghahramani, 2006 4/2 No meeting. 4/9 Structured Bayesian nonparametric models with variational inference (tutorial). Percy Liang, Dan Klein. Association for Computational Linguistics (ACL), 2007. An Introduction to MCMC for Machine Learning Andrieu, de Freitas, Doucet and Jordan, 2003 Nonparametric Bayes Workshop at ICML/UAI/COLT 2008