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
AI
Career
Award
Empirical Inference
Learning and Dynamical Systems
Conference Paper
Sampling without Replacement Leads to Faster Rates in Finite-Sum Minimax Optimization
Das, A., Schölkopf, B., Muehlebach, M.
Advances in Neural Information Processing Systems 35, :6749-6762, (Editors: S. Koyejo and S. Mohamed and A. Agarwal and D. Belgrave and K. Cho and A. Oh), 36th Conference on Neural Information Processing Systems (NeurIPS 2022) , December 2022 (Published)
arXiv
URL
BibTeX
Empirical Inference
Learning and Dynamical Systems
Conference Paper
A Learning-based Iterative Control Framework for Controlling a Robot Arm with Pneumatic Artificial Muscles
Ma, H., Büchler, D., Schölkopf, B., Muehlebach, M.
Proceedings of Robotics: Science and Systems XVIII (R:SS 2022), 18, (Editors: Kris Hauser, Dylan Shell, and Shoudong Huang), Robotics: Science and Systems XVIII, June 2022 (Published)
PDF
DOI
URL
BibTeX
Learning and Dynamical Systems
Conference Paper
First-order Constrained Optimization: Non-smooth Dynamical System Viewpoint
Schechtman, S., Tiapkin, D., Moulines, E., Muehlebach, M.
IFAC Workshop on Control Applications of Optimization, 2022 (Published)
URL
BibTeX
Learning and Dynamical Systems
Article
On Constraints in First-Order Optimization: A View from Non-Smooth Dynamical Systems
Muehlebach, M., Jordan, M. I.
Journal of Machine Learning Research, 23, 2022 (Published)
URL
BibTeX