Publications

DEPARTMENTS

Emperical Interference

Haptic Intelligence

Modern Magnetic Systems

Perceiving Systems

Physical Intelligence

Robotic Materials

Social Foundations of Computation

Research Groups

Autonomous Vision

Autonomous Learning

Bioinspired Autonomous Miniature Robots

Dynamic Locomotion

Embodied Vision

Human Aspects of Machine Learning

Intelligent Control Systems

Learning and Dynamical Systems

Locomotion in Biorobotic and Somatic Systems

Micro, Nano, and Molecular Systems

Movement Generation and Control

Neural Capture and Synthesis

Physics for Inference and Optimization

Organizational Leadership and Diversity

Probabilistic Learning Group

Topics

Robot Learning

Conference Paper

2022

Autonomous Learning

Robotics

Career

Award

BibTeX

Empirical Inference Book Reinforcement Learning Algorithms: Analysis and Applications Belousov, B., H., A., Klink, P., Parisi, S., Peters, J. 883, Studies in Computational Intelligence, Springer International Publishing, 2021 (Published) DOI BibTeX

Empirical Inference Book Elements of Causal Inference - Foundations and Learning Algorithms Peters, J., Janzing, D., Schölkopf, B. Adaptive Computation and Machine Learning Series, The MIT Press, Cambridge, MA, USA, 2017 (Published) PDF URL BibTeX

Empirical Inference Book Learning Motor Skills: From Algorithms to Robot Experiments Kober, J., Peters, J. 97:191, Springer Tracts in Advanced Robotics, Springer, 2014 () DOI BibTeX

Empirical Inference Book Empirical Inference - Festschrift in Honor of Vladimir N. Vapnik Schölkopf, B., Luo, Z., Vovk, V. Springer, 2013 (Published) BibTeX

Empirical Inference Book Optimization for Machine Learning Sra, S., Nowozin, S., Wright, S. :494, Neural information processing series, MIT Press, Cambridge, MA, USA, December 2011 () Web BibTeX

Empirical Inference Book Bayesian Time Series Models Barber, D., Cemgil, A., Chiappa, S. :432, Cambridge University Press, Cambridge, UK, August 2011 () BibTeX

Empirical Inference Book Handbook of Statistical Bioinformatics Lu, H., Schölkopf, B., Zhao, H. :627, Springer Handbooks of Computational Statistics, Springer, Berlin, Germany, 2011 () Web DOI BibTeX

Empirical Inference Book From Motor Learning to Interaction Learning in Robots Sigaud, O., Peters, J. :538, Studies in Computational Intelligence ; 264, (Editors: O Sigaud, J Peters), Springer, Berlin, Germany, January 2010 () Web DOI BibTeX

Empirical Inference Book Predicting Structured Data Bakir, G., Hofmann, T., Schölkopf, B., Smola, A., Taskar, B., Vishwanathan, S. :360, Advances in neural information processing systems, MIT Press, Cambridge, MA, USA, September 2007 () Web BibTeX

Empirical Inference Book Semi-Supervised Learning Chapelle, O., Schölkopf, B., Zien, A. :508, Adaptive computation and machine learning, MIT Press, Cambridge, MA, USA, September 2006 () Web BibTeX

Empirical Inference Book Gaussian Processes for Machine Learning Rasmussen, C., Williams, C. :248, Adaptive Computation and Machine Learning, MIT Press, Cambridge, MA, USA, January 2006 () Web BibTeX

Empirical Inference Book Kernel Methods in Computational Biology Schölkopf, B., Tsuda, K., Vert, J. :410, Computational Molecular Biology, MIT Press, Cambridge, MA, USA, August 2004 () Web BibTeX

Empirical Inference Book Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond Schölkopf, B., Smola, A. :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. () Web DOI BibTeX

Empirical Inference Book Advances in Large Margin Classifiers Smola, A., Bartlett, P., Schölkopf, B., Schuurmans, D. :422, Neural Information Processing, MIT Press, Cambridge, MA, USA, October 2000 () Web BibTeX

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