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All publications by Joachim M. Buhmann
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Fast and Robust Least Squares Estimation in Corrupted Linear Models
Brian Mcwilliams, Gabriel Krummenacher, Mario Lucic and Joachim M. Buhmann
Advances in Neural Information Processing Systems 27, 2014


Information Theoretic Model Validation for Spectral Clustering
Morteza H. Chehreghani, Alberto G. Busetto and Joachim M. Buhmann
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Multi-assignment clustering for Boolean data
Andreas P. Streich, Mario Frank, David A. Basin and Joachim M. Buhmann
Proceedings of the 26th International Conference on Machine Learning (ICML-09), 2009


Optimized expected information gain for nonlinear dynamical systems
Alberto G. Busetto, Cheng S. Ong and Joachim M. Buhmann
Proceedings of the 26th International Conference on Machine Learning (ICML-09), 2009


Spanning Tree Approximations for Conditional Random Fields
Patrick Pletscher, Cheng S. Ong and Joachim M. Buhmann
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS-09), 2009


Structure Identification by Optimized Interventions
Alberto G. Busetto and Joachim M. Buhmann
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS-09), 2009


Expectation-maximization for sparse and non-negative PCA
Christian D. Sigg and Joachim M. Buhmann
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


On Relevant Dimensions in Kernel Feature Spaces
Mikio L. Braun, Joachim M. Buhmann and Klaus-robert Müller
Journal of Machine Learning Research, 2008


Cluster analysis of heterogeneous rank data
Ludwig M. Busse, Peter Orbanz and Joachim M. Buhmann
Proceedings of the 24th International Conference on Machine Learning (ICML-07), 2007


Denoising and Dimension Reduction in Feature Space
Mikio L. Braun, Klaus-robert Müller and Joachim M. Buhmann
Advances in Neural Information Processing Systems 19, 2006


A Hidden Markov Model for de Novo Peptide Sequencing
Bernd Fischer, Volker Roth, Jonas Grossmann, Sacha Baginsky, Wilhelm Gruissem, Franz Roos, Peter Widmayer and Joachim M. Buhmann
Advances in Neural Information Processing Systems 17, 2004


Clustering with the Connectivity Kernel
Bernd Fischer, Volker Roth and Joachim M. Buhmann
Advances in Neural Information Processing Systems 16, 2003


Coupled Clustering: A Method for Detecting Structural Correspondence
Zvika Marx, Ido Dagan, Joachim M. Buhmann and Eli Shamir
Journal of Machine Learning Research, 2002


Going Metric: Denoising Pairwise Data
Volker Roth, Julian Laub, Klaus-robert Müller and Joachim M. Buhmann
Advances in Neural Information Processing Systems 15, 2002


Stability-Based Model Selection
Tilman Lange, Mikio L. Braun, Volker Roth and Joachim M. Buhmann
Advances in Neural Information Processing Systems 15, 2002


The Noisy Euclidean Traveling Salesman Problem and Learning
Mikio L. Braun and Joachim M. Buhmann
Advances in Neural Information Processing Systems 14, 2001