Borgwardt, Karsten M.

14 publications

FnTML 2020 Graph Kernels: State-of-the-Art and Future Challenges Karsten M. Borgwardt, M. Elisabetta Ghisu, Felipe Llinares-López, Leslie O'Bray, Bastian Rieck

IJCAI 2019 Finding Statistically Significant Interactions Between Continuous Features Mahito Sugiyama, Karsten M. Borgwardt

MLJ 2019 Introduction to the Special Issue for the ECML PKDD 2019 Journal Track Karsten M. Borgwardt, Po-Ling Loh, Evimaria Terzi, Antti Ukkonen

ECML-PKDD 2017 Multi-View Spectral Clustering on Conflicting Views Xiao He, Limin Li, Damian Roqueiro, Karsten M. Borgwardt

IJCAI 2013 Measuring Statistical Dependence via the Mutual Information Dimension Mahito Sugiyama, Karsten M. Borgwardt

JMLR 2012 A Kernel Two-Sample Test Arthur Gretton, Karsten M. Borgwardt, Malte J. Rasch, Bernhard Schölkopf, Alexander Smola

MLJ 2011 Guest Editorial to the Special Issue on Inductive Logic Programming, Mining and Learning in Graphs and Statistical Relational Learning Hendrik Blockeel, Karsten M. Borgwardt, Luc De Raedt, Pedro M. Domingos, Kristian Kersting, Xifeng Yan

JMLR 2011 Weisfeiler-Lehman Graph Kernels Nino Shervashidze, Pascal Schweitzer, Erik Jan van Leeuwen, Kurt Mehlhorn, Karsten M. Borgwardt

JMLR 2010 Graph Kernels S.V.N. Vishwanathan, Nicol N. Schraudolph, Risi Kondor, Karsten M. Borgwardt

ICML 2009 The Graphlet Spectrum Risi Kondor, Nino Shervashidze, Karsten M. Borgwardt

ICML 2008 The Skew Spectrum of Graphs Risi Kondor, Karsten M. Borgwardt

ICML 2007 A Dependence Maximization View of Clustering Le Song, Alexander J. Smola, Arthur Gretton, Karsten M. Borgwardt

AAAI 2007 A Kernel Approach to Comparing Distributions Arthur Gretton, Karsten M. Borgwardt, Malte J. Rasch, Bernhard Schölkopf, Alexander J. Smola

ICML 2007 Supervised Feature Selection via Dependence Estimation Le Song, Alexander J. Smola, Arthur Gretton, Karsten M. Borgwardt, Justin Bedo