3 papers
eess.SY2024
Learning Low-dimensional Latent Dynamics from High-dimensional Observations: Non-asymptotics and Lower Bounds
Yuyang Zhang, Shahriar Talebi, Na Li
In this paper, we focus on learning a linear time-invariant (LTI) model with low-dimensional latent variables but high-dimensional observations. We provide an algorithm that recove…
math.OC2024
Policy Optimization in Control: Geometry and Algorithmic Implications
Shahriar Talebi, Yang Zheng, Spencer Kraisler +2
This survey explores the geometric perspective on policy optimization within the realm of feedback control systems, emphasizing the intrinsic relationship between control design an…
math.OC2023
Consensus on Lie groups for the Riemannian Center of Mass
Spencer Kraisler, Shahriar Talebi, Mehran Mesbahi
In this paper, we develop a consensus algorithm for distributed computation of the Riemannian center of mass (RCM) on Lie Groups. The algorithm is built upon a distributed optimiza…