3 papers
eess.SY2025
Learning clusters of partially observed linear dynamical systems
Maryann Rui, Munther A. Dahleh
We study the problem of learning clusters of partially observed linear dynamical systems from multiple input-output trajectories. This setting is particularly relevant when there a…
eess.SY2025
Finite Sample Analysis of Tensor Decomposition for Learning Mixtures of Linear Systems
Maryann Rui, Munther Dahleh
We study the problem of learning mixtures of linear dynamical systems (MLDS) from input-output data. The mixture setting allows us to leverage observations from related dynamical s…
cs.GT2024
Towards Data Auctions with Externalities
Anish Agarwal, Munther Dahleh, Thibaut Horel +1
The design of data markets has gained importance as firms increasingly use machine learning models fueled by externally acquired training data. A key consideration is the externali…