Michael Muehlebach | DeepAI

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∙ 08/28/2023

Data-Efficient Online Learning of Ball Placement in Robot Table Tennis

We present an implementation of an online optimization algorithm for hit...

0 Philip Tobuschat, et al. ∙

∙ 06/09/2023

Causal Effect Estimation from Observational and Interventional Data Through Matrix Weighted Linear Estimators

We study causal effect estimation from a mixture of observational and in...

0 Klaus-Rudolf Kladny, et al. ∙

∙ 06/06/2023

Online Learning under Adversarial Nonlinear Constraints

In many applications, learning systems are required to process continuou...

0 Pavel Kolev, et al. ∙

∙ 05/24/2023

Black-Box vs. Gray-Box: A Case Study on Learning Table Tennis Ball Trajectory Prediction with Spin and Impacts

In this paper, we present a method for table tennis ball trajectory filt...

0 Jan Achterhold, et al. ∙

∙ 04/06/2023

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

We consider adaptive decision-making problems where an agent optimizes a...

0 Michael Muehlebach, et al. ∙

∙ 03/16/2023

Orthogonal Directions Constrained Gradient Method: from non-linear equality constraints to Stiefel manifold

We consider the problem of minimizing a non-convex function over a smoot...

0 Sholom Schechtman, et al. ∙

∙ 02/01/2023

Accelerated First-Order Optimization under Nonlinear Constraints

We exploit analogies between first-order algorithms for constrained opti...

0 Michael Muehlebach, et al. ∙

∙ 12/12/2022

Robust Recurrent Neural Network to Identify Ship Motion in Open Water with Performance Guarantees – Technical Report

Recurrent neural networks are capable of learning the dynamics of an unk...

0 Daniel Frank, et al. ∙

∙ 06/07/2022

Sampling without Replacement Leads to Faster Rates in Finite-Sum Minimax Optimization

We analyze the convergence rates of stochastic gradient algorithms for s...

8 Aniket Das, et al. ∙

∙ 07/17/2021

On Constraints in First-Order Optimization: A View from Non-Smooth Dynamical Systems

We introduce a class of first-order methods for smooth constrained optim...

14 Michael Muehlebach, et al. ∙

∙ 02/28/2020

Optimization with Momentum: Dynamical, Control-Theoretic, and Symplectic Perspectives

We analyze the convergence rate of various momentum-based optimization a...

60 Michael Muehlebach, et al. ∙

∙ 05/26/2019

Physics-informed Autoencoders for Lyapunov-stable Fluid Flow Prediction

In addition to providing high-profile successes in computer vision and n...

0 N. Benjamin Erichson, et al. ∙

∙ 05/17/2019

A Dynamical Systems Perspective on Nesterov Acceleration

We present a dynamical system framework for understanding Nesterov's acc...

4 Michael Muehlebach, et al. ∙

∙ 07/06/2017

Distributed Event-Based State Estimation for Networked Systems: An LMI-Approach

In this work, a dynamic system is controlled by multiple sensor-actuator...

0 Michael Muehlebach, et al. ∙

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