2022
Schölkopf, B., Uhler, C., Zhang, K.
Proceedings of the First Conference on Causal Learning and Reasoning (CLeaR 2022)
177, Proceedings of Machine Learning Research, PMLR, April 2022 (proceedings)
2021
Field, A., Prabhumoye, S., Sap, M., Jin, Z., Zhao, J., Brockett, C.
Proceedings of the 1st Workshop on NLP for Positive Impact
Association for Computational Linguistics, August 2021 (proceedings)
Belousov, B., H., A., Klink, P., Parisi, S., Peters, J.
Reinforcement Learning Algorithms: Analysis and Applications
883, Studies in Computational Intelligence, Springer International Publishing, 2021 (book)
2017
Peters, J., Janzing, D., Schölkopf, B.
Elements of Causal Inference - Foundations and Learning Algorithms
Adaptive Computation and Machine Learning Series, The MIT Press, Cambridge, MA, USA, 2017 (book)
2016
Ihler, A. T., Janzing, D.
Proceedings of the 32nd Conference on Uncertainty in Artificial Intelligence (UAI)
pages: 869 pages, AUAI Press, June 2016 (proceedings)
2014
Kober, J., Peters, J.
Learning Motor Skills: From Algorithms to Robot Experiments
97, pages: 191, Springer Tracts in Advanced Robotics, Springer, 2014 (book)
2013
Deisenroth, M., Szepesvári, C., Peters, J.
Proceedings of the 10th European Workshop on Reinforcement Learning, Volume 24
pages: 173, JMLR, European Workshop On Reinforcement Learning, EWRL, 2013 (proceedings)
Schölkopf, B., Luo, Z., Vovk, V.
Empirical Inference - Festschrift in Honor of Vladimir N. Vapnik
Springer, 2013 (book)
2012
Langs, G., Rish, I., Grosse-Wentrup, M., Murphy, B.
Machine Learning and Interpretation in Neuroimaging - Revised Selected and Invited Contributions
pages: 266, Springer, Heidelberg, Germany, International Workshop, MLINI, Held at NIPS, 2012, Lecture Notes in Computer Science, Vol. 7263 (proceedings)
Panagiotaki, E., O’Donnell, L., Schultz, T., Zhang, G.
MICCAI, Workshop on Computational Diffusion MRI, 2012 (electronic publication)
15th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Workshop on Computational Diffusion MRI , 2012 (proceedings)
2011
Sra, S., Nowozin, S., Wright, S.
Optimization for Machine Learning
pages: 494, Neural information processing series, MIT Press, Cambridge, MA, USA, December 2011 (book)
Barber, D., Cemgil, A., Chiappa, S.
Bayesian Time Series Models
pages: 432, Cambridge University Press, Cambridge, UK, August 2011 (book)
Kakade, S., von Luxburg, U.
JMLR Workshop and Conference Proceedings Volume 19: COLT 2011
pages: 834, MIT Press, Cambridge, MA, USA, 24th Annual Conference on Learning Theory , June 2011 (proceedings)
Lu, H., Schölkopf, B., Zhao, H.
Handbook of Statistical Bioinformatics
pages: 627, Springer Handbooks of Computational Statistics, Springer, Berlin, Germany, 2011 (book)
2010
Guyon, I., Janzing, D., Schölkopf, B.
JMLR Workshop and Conference Proceedings: Volume 6
pages: 288, MIT Press, Cambridge, MA, USA, Causality: Objectives and Assessment (NIPS Workshop) , February 2010 (proceedings)
Sigaud, O., Peters, J.
From Motor Learning to Interaction Learning in Robots
pages: 538, Studies in Computational Intelligence ; 264, (Editors: O Sigaud, J Peters), Springer, Berlin, Germany, January 2010 (book)
2008
Lespérance, Y., Lakemeyer, G., Peters, J., Pirri, F.
CogRob 2008: The 6th International Cognitive Robotics Workshop
Proceedings of the 6th International Cognitive Robotics Workshop (CogRob 2008), pages: 35, Patras University Press, Patras, Greece, 6th International Cognitive Robotics Workshop (CogRob), July 2008 (proceedings)
2007
Bakir, G., Hofmann, T., Schölkopf, B., Smola, A., Taskar, B., Vishwanathan, S.
Predicting Structured Data
pages: 360, Advances in neural information processing systems, MIT Press, Cambridge, MA, USA, September 2007 (book)
Schölkopf, B., Platt, J., Hofmann, T.
Advances in Neural Information Processing Systems 19: Proceedings of the 2006 Conference
Proceedings of the Twentieth Annual Conference on Neural Information Processing Systems (NIPS 2006), pages: 1690, MIT Press, Cambridge, MA, USA, 20th Annual Conference on Neural Information Processing Systems (NIPS), September 2007 (proceedings)
2006
Chapelle, O., Schölkopf, B., Zien, A.
Semi-Supervised Learning
pages: 508, Adaptive computation and machine learning, MIT Press, Cambridge, MA, USA, September 2006 (book)
Weiss, Y., Schölkopf, B., Platt, J.
Advances in Neural Information Processing Systems 18: Proceedings of the 2005 Conference
Proceedings of the 19th Annual Conference on Neural Information Processing Systems (NIPS 2005), pages: 1676, MIT Press, Cambridge, MA, USA, 19th Annual Conference on Neural Information Processing Systems (NIPS), May 2006 (proceedings)
Rasmussen, CE., Williams, CKI.
Gaussian Processes for Machine Learning
pages: 248, Adaptive Computation and Machine Learning, MIT Press, Cambridge, MA, USA, January 2006 (book)
Quinonero Candela, J., Dagan, I., Magnini, B., Lauria, F.
Machine Learning Challenges: evaluating predictive uncertainty, visual object classification and recognising textual entailment
Proceedings of the First Pascal Machine Learning Challenges Workshop on Machine Learning Challenges, Evaluating Predictive Uncertainty, Visual Object Classification and Recognizing Textual Entailment (MLCW 2005), pages: 462, Lecture Notes in Computer Science, Springer, Heidelberg, Germany, First Pascal Machine Learning Challenges Workshop (MLCW), 2006 (proceedings)
2004
Bousquet, O., von Luxburg, U., Rätsch, G.
Advanced Lectures on Machine Learning
ML Summer Schools 2003, LNAI 3176, pages: 240, Springer, Berlin, Germany, ML Summer Schools, September 2004 (proceedings)
Rasmussen, C., Bülthoff, H., Giese, M., Schölkopf, B.
Pattern Recognition: 26th DAGM Symposium, LNCS, Vol. 3175
Proceedings of the 26th Pattern Recognition Symposium (DAGM‘04), pages: 581, Springer, Berlin, Germany, 26th Pattern Recognition Symposium, August 2004 (proceedings)
Schölkopf, B., Tsuda, K., Vert, J.
Kernel Methods in Computational Biology
pages: 410, Computational Molecular Biology, MIT Press, Cambridge, MA, USA, August 2004 (book)
Thrun, S., Saul, L., Schölkopf, B.
Advances in Neural Information Processing Systems 16: Proceedings of the 2003 Conference
Proceedings of the Seventeenth Annual Conference on Neural Information Processing Systems (NIPS 2003), pages: 1621, MIT Press, Cambridge, MA, USA, 17th Annual Conference on Neural Information Processing Systems (NIPS), June 2004 (proceedings)
2003
Schölkopf, B., Warmuth, M.
Learning Theory and Kernel Machines: 16th Annual Conference on Learning Theory and 7th Kernel Workshop (COLT/Kernel 2003), LNCS Vol. 2777
Proceedings of the 16th Annual Conference on Learning Theory and 7th Kernel Workshop (COLT/Kernel 2003), COLT/Kernel 2003, pages: 746, Springer, Berlin, Germany, 16th Annual Conference on Learning Theory and 7th Kernel Workshop, November 2003, Lecture Notes in Computer Science ; 2777 (proceedings)
2002
Schölkopf, B., Smola, A.
Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
pages: 644, Adaptive Computation and Machine Learning, MIT Press, Cambridge, MA, USA, December 2002, Parts of this book, including an introduction to kernel methods, can be downloaded here. (book)
2000
Smola, A., Bartlett, P., Schölkopf, B., Schuurmans, D.
Advances in Large Margin Classifiers
pages: 422, Neural Information Processing, MIT Press, Cambridge, MA, USA, October 2000 (book)