Michael Muehlebach

Orcid: 0000-0002-7764-3069

According to our database1, Michael Muehlebach authored at least 40 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Primal Methods for Variational Inequality Problems with Functional Constraints.
CoRR, 2024

Balancing a 3D Inverted Pendulum using Remote Magnetic Manipulation.
CoRR, 2024

Towards a Systems Theory of Algorithms.
CoRR, 2024

2023
Reinforcement learning with model-based feedforward inputs for robotic table tennis.
Auton. Robots, December, 2023

Deep Backtracking Counterfactuals for Causally Compliant Explanations.
CoRR, 2023

A Robust Open-source Tendon-driven Robot Arm for Learning Control of Dynamic Motions.
CoRR, 2023

Adaptive Decision-Making with Constraints and Dependent Losses: Performance Guarantees and Applications to Online and Nonlinear Identification.
CoRR, 2023

Accelerated First-Order Optimization under Nonlinear Constraints.
CoRR, 2023

Causal effect estimation from observational and interventional data through matrix weighted linear estimators.
Proceedings of the Uncertainty in Artificial Intelligence, 2023

Online Learning under Adversarial Nonlinear Constraints.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

A Dynamical Systems Perspective on Discrete Optimization.
Proceedings of the Learning for Dynamics and Control Conference, 2023

Black-Box vs. Gray-Box: A Case Study on Learning Table Tennis Ball Trajectory Prediction with Spin and Impacts.
Proceedings of the Learning for Dynamics and Control Conference, 2023

Data-Efficient Online Learning of Ball Placement in Robot Table Tennis.
IROS, 2023

Orthogonal Directions Constrained Gradient Method: from non-linear equality constraints to Stiefel manifold.
Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023

2022
On Constraints in First-Order Optimization: A View from Non-Smooth Dynamical Systems.
J. Mach. Learn. Res., 2022

Robust Recurrent Neural Network to Identify Ship Motion in Open Water with Performance Guarantees - Technical Report.
CoRR, 2022

A Learning-based Iterative Control Framework for Controlling a Robot Arm with Pneumatic Artificial Muscles.
Proceedings of the Robotics: Science and Systems XVIII, New York City, NY, USA, June 27, 2022

Sampling without Replacement Leads to Faster Rates in Finite-Sum Minimax Optimization.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021
Optimization with Momentum: Dynamical, Control-Theoretic, and Symplectic Perspectives.
J. Mach. Learn. Res., 2021

2020
Continuous-time Lower Bounds for Gradient-based Algorithms.
Proceedings of the 37th International Conference on Machine Learning, 2020

2019
A Method for Reducing the Complexity of Model Predictive Control in Robotics Applications.
IEEE Robotics Autom. Lett., 2019

The Silver Ratio and its Relation to Controllability.
CoRR, 2019

Physics-informed Autoencoders for Lyapunov-stable Fluid Flow Prediction.
CoRR, 2019

A Dynamical Systems Perspective on Nesterov Acceleration.
Proceedings of the 36th International Conference on Machine Learning, 2019

2018
Accelerometer-Based Tilt Determination for Rigid Bodies With a Nonaccelerated Pivot Point.
IEEE Trans. Control. Syst. Technol., 2018

Distributed Event-Based State Estimation for Networked Systems: An LMI Approach.
IEEE Trans. Autom. Control., 2018

On the Approximation of Constrained Linear Quadratic Regulator Problems and their Application to Model Predictive Control - Supplementary Notes.
CoRR, 2018

2017
Nonlinear Analysis and Control of a Reaction-Wheel-Based 3-D Inverted Pendulum.
IEEE Trans. Control. Syst. Technol., 2017

Implementation of a parametrized infinite-horizon model predictive control scheme with stability guarantees.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Trajectory tracking and iterative learning on an unmanned aerial vehicle using parametrized model predictive control.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

Basis functions design for the approximation of constrained linear quadratic regulator problems encountered in model predictive control.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

2016
Approximation of Continuous-Time Infinite-Horizon Optimal Control Problems Arising in Model Predictive Control - Supplementary Notes.
CoRR, 2016

Application of an approximate model predictive control scheme on an unmanned aerial vehicle.
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

Approximation of continuous-time infinite-horizon optimal control problems arising in model predictive control.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Parametrized infinite-horizon model predictive control for linear time-invariant systems with input and state constraints.
Proceedings of the 2016 American Control Conference, 2016

2015
Guaranteed ℋ2 performance in distributed event-based state estimation.
Proceedings of the International Conference on Event-based Control, 2015

LMI-based synthesis for distributed event-based state estimation.
Proceedings of the American Control Conference, 2015

2014
A Fan-Based, Low-Frequent, Forced Oscillation Technique Apparatus.
IEEE Trans. Instrum. Meas., 2014

2013
The Cubli: A reaction wheel based 3D inverted pendulum.
Proceedings of the 12th European Control Conference, 2013

Nonlinear analysis and control of a reaction wheel-based 3D inverted pendulum.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013


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