Karsten M. Borgwardt

Barbara Rakitsch, Christoph Lippert, Oliver Stegle, Karsten M. Borgwardt: A Lasso multi-marker mixed model for association mapping with population structure correction. Bioinformatics 29(2): 206-214 (2013)

Aasa Feragen, Jens Petersen, Dominik Grimm, Asger Dirksen, Jesper Johannes Holst Pedersen, Karsten M. Borgwardt, Marleen de Bruijne: Geometric tree kernels: Classification of COPD from airway tree geometry. CoRR abs/1303.7390 (2013)

Theofanis Karaletsos, Oliver Stegle, Christine Dreyer, John M. Winn, Karsten M. Borgwardt: ShapePheno: unsupervised extraction of shape phenotypes from biological image collections. Bioinformatics 28(7): 1001-1008 (2012)

Arthur Gretton, Karsten M. Borgwardt, Malte J. Rasch, Bernhard Schölkopf, Alexander J. Smola: A Kernel Two-Sample Test. Journal of Machine Learning Research 13: 723-773 (2012)

Dominik Grimm, Bastian Greshake, Stefan Kleeberger, Christoph Lippert, Oliver Stegle, Bernhard Schölkopf, Detlef Weigel, Karsten M. Borgwardt: easyGWAS: An integrated interspecies platform for performing genome-wide association studies. CoRR abs/1212.4788 (2012)

Tony Kam-Thong, Benno Pütz, Nazanin Karbalai, Bertram Müller-Myhsok, Karsten M. Borgwardt: Epistasis detection on quantitative phenotypes by exhaustive enumeration using GPUs. Bioinformatics [ISMB/ECCB] 27(13): 214-221 (2011)

Limin Li, Barbara Rakitsch, Karsten M. Borgwardt: ccSVM: correcting Support Vector Machines for confounding factors in biological data classification. Bioinformatics [ISMB/ECCB] 27(13): 342-348 (2011)

Karin Klotzbücher, Yasushi Kobayashi, Nino Shervashidze, Oliver Stegle, Bertram Müller-Myhsok, Detlef Weigel, Karsten M. Borgwardt: Efficient branch-and-bound techniques for two-locus association mapping. BMC Bioinformatics 12(S-11): A3 (2011)

Nino Shervashidze, Pascal Schweitzer, Erik Jan van Leeuwen, Kurt Mehlhorn, Karsten M. Borgwardt: Weisfeiler-Lehman Graph Kernels. Journal of Machine Learning Research 12: 2539-2561 (2011)

Hendrik Blockeel, Karsten M. Borgwardt, Luc De Raedt, Pedro Domingos, Kristian Kersting, Xifeng Yan: Guest editorial to the special issue on inductive logic programming, mining and learning in graphs and statistical relational learning. Machine Learning 83(2): 133-135 (2011)

Panagiotis Achlioptas, Bernhard Schölkopf, Karsten M. Borgwardt: Two-locus association mapping in subquadratic time. KDD 2011: 726-734

Oliver Stegle, Christoph Lippert, Joris M. Mooij, Neil D. Lawrence, Karsten M. Borgwardt: Efficient inference in matrix-variate Gaussian models with \iid observation noise. NIPS 2011: 630-638

Karsten M. Borgwardt: Kernel Methods in Bioinformatics. Handbook of Statistical Bioinformatics 2011: 317-334

Christoph Lippert, Zoubin Ghahramani, Karsten M. Borgwardt: Gene function prediction from synthetic lethality networks via ranking on demand. Bioinformatics 26(7): 912-918 (2010)

Oliver Stegle, Katherine J. Denby, Emma J. Cooke, David L. Wild, Zoubin Ghahramani, Karsten M. Borgwardt: A Robust Bayesian Two-Sample Test for Detecting Intervals of Differential Gene Expression in Microarray Time Series. Journal of Computational Biology 17(3): 355-367 (2010)

S. V. N. Vishwanathan, Nicol N. Schraudolph, Risi Kondor, Karsten M. Borgwardt: Graph Kernels. Journal of Machine Learning Research 11: 1201-1242 (2010)

Marisa Thoma, Hong Cheng, Arthur Gretton, Jiawei Han, Hans-Peter Kriegel, Alexander J. Smola, Le Song, Philip S. Yu, Xifeng Yan, Karsten M. Borgwardt: Discriminative frequent subgraph mining with optimality guarantees. Statistical Analysis and Data Mining 3(5): 302-318 (2010)

Christoph Lippert, Oliver Stegle, Zoubin Ghahramani, Karsten M. Borgwardt: A kernel method for unsupervised structured network inference. Journal of Machine Learning Research - Proceedings Track 5: 368-375 (2009)

Nino Shervashidze, S. V. N. Vishwanathan, Tobias Petri, Kurt Mehlhorn, Karsten M. Borgwardt: Efficient graphlet kernels for large graph comparison. Journal of Machine Learning Research - Proceedings Track 5: 488-495 (2009)

Oliver Stegle, Katherine J. Denby, David L. Wild, Stuart McHattie, Andrew Meade, Zoubin Ghahramani, Karsten M. Borgwardt: Discovering Temporal Patterns of Differential Gene Expression in Microarray Time Series. GCB 2009: 133-142

Risi Kondor, Nino Shervashidze, Karsten M. Borgwardt: The graphlet spectrum. ICML 2009: 67

Nino Shervashidze, Karsten M. Borgwardt: Fast subtree kernels on graphs. NIPS 2009: 1660-1668

Oliver Stegle, Katherine J. Denby, David L. Wild, Zoubin Ghahramani, Karsten M. Borgwardt: A Robust Bayesian Two-Sample Test for Detecting Intervals of Differential Gene Expression in Microarray Time Series. RECOMB 2009: 201-216

Marisa Thoma, Hong Cheng, Arthur Gretton, Jiawei Han, Hans-Peter Kriegel, Alexander J. Smola, Le Song, Philip S. Yu, Xifeng Yan, Karsten M. Borgwardt: Near-optimal Supervised Feature Selection among Frequent Subgraphs. SDM 2009: 1075-1086

Karsten M. Borgwardt, Zoubin Ghahramani: Bayesian two-sample tests. CoRR abs/0906.4032 (2009)

Christian Hübler, Hans-Peter Kriegel, Karsten M. Borgwardt, Zoubin Ghahramani: Metropolis Algorithms for Representative Subgraph Sampling. ICDM 2008: 283-292

Risi Kondor, Karsten M. Borgwardt: The skew spectrum of graphs. ICML 2008: 496-503

Arthur Gretton, Karsten M. Borgwardt, Malte J. Rasch, Bernhard Schölkopf, Alexander J. Smola: A Kernel Method for the Two-Sample Problem. CoRR abs/0805.2368 (2008)

S. V. N. Vishwanathan, Karsten M. Borgwardt, Imre Risi Kondor, Nicol N. Schraudolph: Graph Kernels. CoRR abs/0807.0093 (2008)

Hans-Peter Kriegel, Karsten M. Borgwardt, Peer Kröger, Alexey Pryakhin, Matthias Schubert, Arthur Zimek: Future trends in data mining. Data Min. Knowl. Discov. 15(1): 87-97 (2007)

Arthur Gretton, Karsten M. Borgwardt, Malte J. Rasch, Bernhard Schölkopf, Alexander J. Smola: A Kernel Approach to Comparing Distributions. AAAI 2007: 1637-1641

Le Song, Alexander J. Smola, Arthur Gretton, Karsten M. Borgwardt: A dependence maximization view of clustering. ICML 2007: 815-822

Le Song, Alex J. Smola, Arthur Gretton, Karsten M. Borgwardt, Justin Bedo: Supervised feature selection via dependence estimation. ICML 2007: 823-830

Le Song, Justin Bedo, Karsten M. Borgwardt, Arthur Gretton, Alexander J. Smola: Gene selection via the BAHSIC family of algorithms. ISMB/ECCB (Supplement of Bioinformatics) 2007: 490-498

Karsten M. Borgwardt, Tobias Petri, S. V. N. Vishwanathan, Hans-Peter Kriegel: An Efficient Sampling Scheme For Comparison of Large Graphs. MLG 2007

Le Song, Alex J. Smola, Karsten M. Borgwardt, Arthur Gretton: Colored Maximum Variance Unfolding. NIPS 2007

Karsten M. Borgwardt, Hans-Peter Kriegel: Graph Kernels For Disease Outcome Prediction From Protein-Protein Interaction Networks. Pacific Symposium on Biocomputing 2007: 4-15

Le Song, Alexander J. Smola, Arthur Gretton, Karsten M. Borgwardt, Justin Bedo: Supervised Feature Selection via Dependence Estimation. CoRR abs/0704.2668 (2007)

S. V. N. Vishwanathan, Karsten M. Borgwardt, Omri Guttman, Alexander J. Smola: Kernel extrapolation. Neurocomputing 69(7-9): 721-729 (2006)

Johannes Aßfalg, Karsten M. Borgwardt, Hans-Peter Kriegel: 3DString: a feature string kernel for 3D object classification on voxelized data. CIKM 2006: 198-207

Karsten M. Borgwardt, Hans-Peter Kriegel, Peter Wackersreuther: Pattern Mining in Frequent Dynamic Subgraphs. ICDM 2006: 818-822

Karsten M. Borgwardt, Arthur Gretton, Malte J. Rasch, Hans-Peter Kriegel, Bernhard Schölkopf, Alexander J. Smola: Integrating structured biological data by Kernel Maximum Mean Discrepancy. ISMB (Supplement of Bioinformatics) 2006: 49-57

Arthur Gretton, Karsten M. Borgwardt, Malte J. Rasch, Bernhard Schölkopf, Alexander J. Smola: A Kernel Method for the Two-Sample-Problem. NIPS 2006: 513-520

Jiayuan Huang, Alexander J. Smola, Arthur Gretton, Karsten M. Borgwardt, Bernhard Schölkopf: Correcting Sample Selection Bias by Unlabeled Data. NIPS 2006: 601-608

S. V. N. Vishwanathan, Karsten M. Borgwardt, Nicol N. Schraudolph: Fast Computation of Graph Kernels. NIPS 2006: 1449-1456

Karsten M. Borgwardt, S. V. N. Vishwanathan, Hans-Peter Kriegel: Class Prediction from Time Series Gene Expression Profiles Using Dynamical Systems Kernels. Pacific Symposium on Biocomputing 2006: 547-558

Karsten M. Borgwardt, Sebastian Böttger, Hans-Peter Kriegel: VGM: visual graph mining. SIGMOD Conference 2006: 733-735

Karsten M. Borgwardt, Omri Guttman, S. V. N. Vishwanathan, Alexander J. Smola: Joint Regularization. ESANN 2005: 455-460

Karsten M. Borgwardt, Hans-Peter Kriegel: Shortest-Path Kernels on Graphs. ICDM 2005: 74-81

Karsten M. Borgwardt, Cheng Soon Ong, Stefan Schönauer, S. V. N. Vishwanathan, Alexander J. Smola, Hans-Peter Kriegel: Protein function prediction via graph kernels. ISMB (Supplement of Bioinformatics) 2005: 47-56