Thiesson, Bo

15 publications

UAI 2013 The Bregman Variational Dual-Tree Framework Saeed Amizadeh, Bo Thiesson, Milos Hauskrecht

AISTATS 2012 Fast Variational Mode-Seeking Bo Thiesson, Jingu Kim

UAI 2012 Variational Dual-Tree Framework for Large-Scale Transition Matrix Approximation Saeed Amizadeh, Bo Thiesson, Milos Hauskrecht

NeurIPS 2010 Fast Large-Scale Mixture Modeling with Component-Specific Data Partitions Bo Thiesson, Chong Wang

AISTATS 2009 Markov Topic Models Chong Wang, Bo Thiesson, Chris Meek, David Blei

AISTATS 2005 Efficient Gradient Computation for Conditional Gaussian Models Bo Thiesson, Chris Meek

UAI 2004 ARMA Time-Series Modeling with Graphical Models Bo Thiesson, David Maxwell Chickering, David Heckerman, Christopher Meek

ECCV 2004 Image and Video Segmentation by Anisotropic Kernel Mean Shift Jue Wang, Bo Thiesson, Yingqing Xu, Michael F. Cohen

AISTATS 2003 Discriminative Model Selection for Density Models Bo Thiesson, Christopher Meek

UAI 2002 Staged Mixture Modelling and Boosting Christopher Meek, Bo Thiesson, David Heckerman

JMLR 2002 The Learning-Curve Sampling Method Applied to Model-Based Clustering Christopher Meek, Bo Thiesson, David Heckerman

MLJ 2001 Accelerating EM for Large Databases Bo Thiesson, Christopher Meek, David Heckerman

AISTATS 2001 The Learning Curve Method Applied to Clustering Christopher Meek, Bo Thiesson, David Heckerman

UAI 1998 Learning Mixtures of DAG Models Bo Thiesson, Christopher Meek, David Maxwell Chickering, David Heckerman

UAI 1997 Score and Information for Recursive Exponential Models with Incomplete Data Bo Thiesson