Institute Homepage
Institute Homepage DE Sign In

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

AI

Career

Award

Statistical Learning Theory Conference Paper When do random forests fail? Tang, C., Garreau, D., von Luxburg, U. In Proceedings Neural Information Processing Systems, Neural Information Processing Systems (NIPS 2018) , December 2018 BibTeX
Statistical Learning Theory Conference Paper Comparison-Based Random Forests Haghiri, S., Garreau, D., Luxburg, U. V. International Conference on Machine learning (ICML), 2018 URL BibTeX
Statistical Learning Theory Technical Report NEWMA: a new method for scalable model-free online change-point detection Keriven, N., Garreau, D., Poli, I. 2018 URL BibTeX
Empirical Inference Statistical Learning Theory Article Design and Analysis of the NIPS 2016 Review Process Shah*, N., Tabibian*, B., Muandet, K., Guyon, I., von Luxburg, U. Journal of Machine Learning Research, 19(49):1-34, 2018, *equal contribution (Published) arXiv URL BibTeX
Empirical Inference Probabilistic Numerics Statistical Learning Theory Miscellaneous Large sample analysis of the median heuristic Garreau, D., Jitkrittum, W., Kanagawa, M. 2018 (In preparation) arXiv BibTeX
Statistical Learning Theory Conference Paper Measures of distortion for machine learning Vankadara, L., von Luxburg, U. In Proceedings Neural Information Processing Systems, Neural Information Processing Systems (NIPS 2018) , 2018 BibTeX
Statistical Learning Theory Conference Paper Practical Methods for Graph Two-Sample Testing Ghoshdastidar, D., von Luxburg, U. In Proceedings Neural Information Processing Systems, Neural Information Processing Systems (NIPS 2018) , 2018 BibTeX