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All publications by Bernhard Schölkopf
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Removing systematic errors for exoplanet search via latent causes
Bernhard Schölkopf, David Hogg, Dun Wang, Dan Foreman-mackey, Dominik Janzing, Carl-johann Simon-gabriel and Jonas Peters
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Kernel Mean Estimation and Stein Effect
Krikamol Muandet, Kenji Fukumizu, Bharath Sriperumbudur, Arthur Gretton and Bernhard Schölkopf
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Kernel Mean Estimation via Spectral Filtering
Krikamol Muandet, Bharath Sriperumbudur and Bernhard Schölkopf
Advances in Neural Information Processing Systems 27, 2014


The Randomized Dependence Coefficient
David Lopez-paz, Philipp Hennig and Bernhard Schölkopf
Advances in Neural Information Processing Systems 26, 2013


Statistical analysis of coupled time series with Kernel Cross-Spectral Density operators
Michel Besserve, Nikos K. Logothetis and Bernhard Schölkopf
Advances in Neural Information Processing Systems 26, 2013


Causal Inference on Time Series using Restricted Structural Equation Models
Jonas Peters, Dominik Janzing and Bernhard Schölkopf
Advances in Neural Information Processing Systems 26, 2013


Domain Generalization via Invariant Feature Representation
Krikamol Muandet, David Balduzzi and Bernhard Schölkopf
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Semi-Supervised Domain Adaptation with Non-Parametric Copulas
David Lopez-paz, Jose M. Hernández-lobato and Bernhard Schölkopf
Advances in Neural Information Processing Systems 25, 2012


The representer theorem for Hilbert spaces: a necessary and sufficient condition
Francesco Dinuzzo and Bernhard Schölkopf
Advances in Neural Information Processing Systems 25, 2012


Learning from Distributions via Support Measure Machines
Krikamol Muandet, Kenji Fukumizu, Francesco Dinuzzo and Bernhard Schölkopf
Advances in Neural Information Processing Systems 25, 2012


On causal and anticausal learning
Dominik Janzing, Jonas Peters, Eleni Sgouritsa, Kun Zhang, Joris M. Mooij and Bernhard Schölkopf
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Submodular Inference of Diffusion Networks from Multiple Trees
Manuel G. Rodriguez and Bernhard Schölkopf
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Influence Maximization in Continuous Time Diffusion Networks
Manuel G. Rodriguez and Bernhard Schölkopf
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Recovering Intrinsic Images with a Global Sparsity Prior on Reflectance
Carsten Rother, Martin Kiefel, Lumin Zhang, Bernhard Schölkopf and Peter V. Gehler
Advances in Neural Information Processing Systems 24, 2011


On Causal Discovery with Cyclic Additive Noise Models
Joris M. Mooij, Dominik Janzing, Tom Heskes and Bernhard Schölkopf
Advances in Neural Information Processing Systems 24, 2011


Uncovering the Temporal Dynamics of Diffusion Networks
Manuel G. Rodriguez, David Balduzzi and Bernhard Schölkopf
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Support Vector Machines as Probabilistic Models
Vojtech Franc, Alexander Zien and Bernhard Schölkopf
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Telling cause from effect based on high-dimensional observations
Dominik Janzing, Patrik O. Hoyer and Bernhard Schölkopf
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Probabilistic latent variable models for distinguishing between cause and effect
Oliver Stegle, Dominik Janzing, Kun Zhang, Joris M. Mooij and Bernhard Schölkopf
Advances in Neural Information Processing Systems 23, 2010


Switched Latent Force Models for Movement Segmentation
Mauricio Alvarez, Jan R. Peters, Neil D. Lawrence and Bernhard Schölkopf
Advances in Neural Information Processing Systems 23, 2010


Space-Variant Single-Image Blind Deconvolution for Removing Camera Shake
Stefan Harmeling, Hirsch Michael and Bernhard Schölkopf
Advances in Neural Information Processing Systems 23, 2010


Identifying Cause and Effect on Discrete Data using Additive Noise Models
Jonas Peters, Dominik Janzing and Bernhard Schölkopf
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics (AISTATS-10), 2010


Detecting the direction of causal time series
Jonas Peters, Dominik Janzing, Arthur Gretton and Bernhard Schölkopf
Proceedings of the 26th International Conference on Machine Learning (ICML-09), 2009


Regression by dependence minimization and its application to causal inference in additive noise models
Joris M. Mooij, Dominik Janzing, Jonas Peters and Bernhard Schölkopf
Proceedings of the 26th International Conference on Machine Learning (ICML-09), 2009


Kernel Choice and Classifiability for RKHS Embeddings of Probability Distributions
Kenji Fukumizu, Arthur Gretton, Gert R. Lanckriet, Bernhard Schölkopf and Bharath K. Sriperumbudur
Advances in Neural Information Processing Systems 22, 2009


Sparse multiscale gaussian process regression
Christian Walder, Kwang I. Kim and Bernhard Schölkopf
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Tailoring density estimation via reproducing kernel moment matching
Le Song, Xinhua Zhang, Alex J. Smola, Arthur Gretton and Bernhard Schölkopf
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Bayesian Experimental Design of Magnetic Resonance Imaging Sequences
Hannes Nickisch, Rolf Pohmann, Bernhard Schölkopf and Matthias Seeger
Advances in Neural Information Processing Systems 21, 2008


Diffeomorphic Dimensionality Reduction
Christian Walder and Bernhard Schölkopf
Advances in Neural Information Processing Systems 21, 2008


An Empirical Analysis of Domain Adaptation Algorithms for Genomic Sequence Analysis
Gabriele Schweikert, Gunnar Rätsch, Christian K. Widmer and Bernhard Schölkopf
Advances in Neural Information Processing Systems 21, 2008


Characteristic Kernels on Groups and Semigroups
Kenji Fukumizu, Arthur Gretton, Bernhard Schölkopf and Bharath K. Sriperumbudur
Advances in Neural Information Processing Systems 21, 2008


Effects of Stimulus Type and of Error-Correcting Code Design on BCI Speller Performance
Jeremy Hill, Jason Farquhar, Suzanna Martens, Felix Biessmann and Bernhard Schölkopf
Advances in Neural Information Processing Systems 21, 2008


Nonlinear causal discovery with additive noise models
Patrik O. Hoyer, Dominik Janzing, Joris M. Mooij, Jonas R. Peters and Bernhard Schölkopf
Advances in Neural Information Processing Systems 21, 2008


Local learning projections
Mingrui Wu, Kai Yu, Shipeng Yu and Bernhard Schölkopf
Proceedings of the 24th International Conference on Machine Learning (ICML-07), 2007


A kernel-based causal learning algorithm
Xiaohai Sun, Dominik Janzing, Bernhard Schölkopf and Kenji Fukumizu
Proceedings of the 24th International Conference on Machine Learning (ICML-07), 2007


The Need for Open Source Software in Machine Learning
Sören Sonnenburg, Mikio L. Braun, Cheng S. Ong, Samy Bengio, Léon Bottou, Geoffrey Holmes, Yann Lecun, Klaus-robert Müller, Fernando Pereira, Carl E. Rasmussen, Gunnar Rätsch, Bernhard Schölkopf, Pascal Vincent, Jason Weston, Robert C. Williamson and Alex J. Smola
Journal of Machine Learning Research, 2007


An Analysis of Inference with the Universum
Olivier Chapelle, Alekh Agarwal, Fabian H. Sinz and Bernhard Schölkopf
Advances in Neural Information Processing Systems 20, 2007


A Kernel Statistical Test of Independence
Arthur Gretton, Kenji Fukumizu, Choon H. Teo, Le Song, Bernhard Schölkopf and Alex J. Smola
Advances in Neural Information Processing Systems 20, 2007


Kernel Measures of Conditional Dependence
Kenji Fukumizu, Arthur Gretton, Xiaohai Sun and Bernhard Schölkopf
Advances in Neural Information Processing Systems 20, 2007


Transductive Classification via Local Learning Regularization
Mingrui Wu and Bernhard Schölkopf
Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics (AISTATS-07), 2007


A Direct Method for Building Sparse Kernel Learning Algorithms
Mingrui Wu, Bernhard Schölkopf and Gökhan H. Bakir
Journal of Machine Learning Research, 2006


Large Scale Multiple Kernel Learning
Sören Sonnenburg, Gunnar Rätsch, Christin Schäfer and Bernhard Schölkopf
Journal of Machine Learning Research, 2006


Correcting Sample Selection Bias by Unlabeled Data
Jiayuan Huang, Arthur Gretton, Karsten M. Borgwardt, Bernhard Schölkopf and Alex J. Smola
Advances in Neural Information Processing Systems 19, 2006


Learning with Hypergraphs: Clustering, Classification, and Embedding
Dengyong Zhou, Jiayuan Huang and Bernhard Schölkopf
Advances in Neural Information Processing Systems 19, 2006


A Kernel Method for the Two-Sample-Problem
Arthur Gretton, Karsten M. Borgwardt, Malte Rasch, Bernhard Schölkopf and Alex J. Smola
Advances in Neural Information Processing Systems 19, 2006


A Nonparametric Approach to Bottom-Up Visual Saliency
Wolf Kienzle, Felix A. Wichmann, Matthias O. Franz and Bernhard Schölkopf
Advances in Neural Information Processing Systems 19, 2006


A Local Learning Approach for Clustering
Mingrui Wu and Bernhard Schölkopf
Advances in Neural Information Processing Systems 19, 2006


Learning Dense 3D Correspondence
Florian Steinke, Volker Blanz and Bernhard Schölkopf
Advances in Neural Information Processing Systems 19, 2006


Implicit Surfaces with Globally Regularised and Compactly Supported Basis Functions
Christian Walder, Olivier Chapelle and Bernhard Schölkopf
Advances in Neural Information Processing Systems 19, 2006


Learning from labeled and unlabeled data on a directed graph
Dengyong Zhou, Jiayuan Huang and Bernhard Schölkopf
Proceedings of the 22nd International Conference on Machine Learning (ICML-05), 2005


Building Sparse Large Margin Classifiers
Mingrui Wu, Bernhard Schölkopf and Gökhan H. Bakir
Proceedings of the 22nd International Conference on Machine Learning (ICML-05), 2005


Implicit surface modelling as an eigenvalue problem
Christian Walder, Olivier Chapelle and Bernhard Schölkopf
Proceedings of the 22nd International Conference on Machine Learning (ICML-05), 2005


Large scale genomic sequence SVM classifiers
Sören Sonnenburg, Gunnar Rätsch and Bernhard Schölkopf
Proceedings of the 22nd International Conference on Machine Learning (ICML-05), 2005


Object correspondence as a machine learning problem
Bernhard Schölkopf, Florian Steinke and Volker Blanz
Proceedings of the 22nd International Conference on Machine Learning (ICML-05), 2005


A brain computer interface with online feedback based on magnetoencephalography
Thomas N. Lal, Michael Schröder, N. J. Hill, Hubert Preissl, Thilo Hinterberger, Jürgen Mellinger, Martin Bogdan, Wolfgang Rosenstiel, Thomas Hofmann, Niels Birbaumer and Bernhard Schölkopf
Proceedings of the 22nd International Conference on Machine Learning (ICML-05), 2005


Kernel Methods for Measuring Independence
Arthur Gretton, Ralf Herbrich, Olivier Bousquet, Bernhard Schölkopf and Alex J. Smola
Journal of Machine Learning Research, 2005


A kernel view of the dimensionality reduction of manifolds
Jihun Ham, Daniel D. Lee, Sebastian Mika and Bernhard Schölkopf
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


Machine Learning Applied to Perception: Decision Images for Gender Classification
Felix A. Wichmann, Arnulf B. Graf, Heinrich H. Bülthoff, Eero P. Simoncelli and Bernhard Schölkopf
Advances in Neural Information Processing Systems 17, 2004


Semi-supervised Learning on Directed Graphs
Dengyong Zhou, Thomas Hofmann and Bernhard Schölkopf
Advances in Neural Information Processing Systems 17, 2004


An Auditory Paradigm for Brain-Computer Interfaces
N. J. Hill, Thomas N. Lal, Karin Bierig, Niels Birbaumer and Bernhard Schölkopf
Advances in Neural Information Processing Systems 17, 2004


Kernel Methods for Implicit Surface Modeling
Joachim Giesen, Simon Spalinger and Bernhard Schölkopf
Advances in Neural Information Processing Systems 17, 2004


Methods Towards Invasive Human Brain Computer Interfaces
Thomas N. Lal, Thilo Hinterberger, Guido Widman, Michael Schröder, N. J. Hill, Wolfgang Rosenstiel, Christian E. Elger, Niels Birbaumer and Bernhard Schölkopf
Advances in Neural Information Processing Systems 17, 2004


Face Detection --- Efficient and Rank Deficient
Wolf Kienzle, Matthias O. Franz, Bernhard Schölkopf and Gökhan H. Bakir
Advances in Neural Information Processing Systems 17, 2004


Implicit Wiener Series for Higher-Order Image Analysis
Matthias O. Franz and Bernhard Schölkopf
Advances in Neural Information Processing Systems 17, 2004


A Compression Approach to Support Vector Model Selection
Ulrike V. Luxburg, Olivier Bousquet and Bernhard Schölkopf
Journal of Machine Learning Research, 2004


Use of the Zero-Norm with Linear Models and Kernel Methods
Jason Weston, André Elisseeff, Bernhard Schölkopf and Michael E. Tipping
Journal of Machine Learning Research, 2003


Prediction on Spike Data Using Kernel Algorithms
Jan Eichhorn, Andreas Tolias, Alexander Zien, Malte Kuss, Jason Weston, Nikos Logothetis, Bernhard Schölkopf and Carl E. Rasmussen
Advances in Neural Information Processing Systems 16, 2003


Learning to Find Pre-Images
Jason Weston, Bernhard Schölkopf and Gökhan H. Bakir
Advances in Neural Information Processing Systems 16, 2003


Learning with Local and Global Consistency
Dengyong Zhou, Olivier Bousquet, Thomas N. Lal, Jason Weston and Bernhard Schölkopf
Advances in Neural Information Processing Systems 16, 2003


Ranking on Data Manifolds
Dengyong Zhou, Jason Weston, Arthur Gretton, Olivier Bousquet and Bernhard Schölkopf
Advances in Neural Information Processing Systems 16, 2003


Kernel Dependency Estimation
Jason Weston, Olivier Chapelle, Vladimir Vapnik, André Elisseeff and Bernhard Schölkopf
Advances in Neural Information Processing Systems 15, 2002


Cluster Kernels for Semi-Supervised Learning
Olivier Chapelle, Jason Weston and Bernhard Schölkopf
Advances in Neural Information Processing Systems 15, 2002


Sampling Techniques for Kernel Methods
Dimitris Achlioptas, Frank Mcsherry and Bernhard Schölkopf
Advances in Neural Information Processing Systems 14, 2001


Incorporating Invariances in Non-Linear Support Vector Machines
Olivier Chapelle and Bernhard Schölkopf
Advances in Neural Information Processing Systems 14, 2001


Regularized Principal Manifolds
Alex J. Smola, Sebastian Mika, Bernhard Schölkopf and Robert C. Williamson
Journal of Machine Learning Research, 2001