2 citations · 3 across the 4 of their papers we have counts for
4 papers
Black-Box vs. Gray-Box: A Case Study on Learning Table Tennis Ball Trajectory Prediction with Spin and Impacts
Jan Achterhold, Philip Tobuschat, Hao Ma +3
In this paper, we present a method for table tennis ball trajectory filtering and prediction. Our gray-box approach builds on a physical model. At the same time, we use data to lea…
A Dynamical Systems Perspective on Discrete Optimization
Tong Guanchun, Michael Muehlebach
We discuss a dynamical systems perspective on discrete optimization. Departing from the fact that many combinatorial optimization problems can be reformulated as finding low energy…
Adaptive Decision-Making with Constraints and Dependent Losses: Performance Guarantees and Applications to Online and Nonlinear Identification
Michael Muehlebach
We consider adaptive decision-making problems where an agent optimizes a cumulative performance objective by repeatedly choosing among a finite set of options. Compared to the clas…
Orthogonal Directions Constrained Gradient Method: from non-linear equality constraints to Stiefel manifold
Sholom Schechtman, Daniil Tiapkin, Michael Muehlebach +1
We consider the problem of minimizing a non-convex function over a smooth manifold . We propose a novel algorithm, the Orthogonal Directions Constrained Gradient Metho…