activity
20202026
most citedSafely Learning Dynamical Systems from Short Trajectories

2 citations · 3 across the 5 of their papers we have counts for

collaborators

6 papers

math.OC2026

Complexity of Output Feedback Stabilization

Amir Ali Ahmadi, Abraar Chaudhry, Ijay Narang +1

We show that unless P = NP, there cannot be a polynomial-time (or even pseudo-polynomial-time) algorithm for output feedback stabilization of a linear dynamical system with a linea…

math.OC2026

Powell-Style Model-Based Derivative-Free Optimization with Complexity Guarantees

Abraar Chaudhry, Katya Scheinberg, Scholar Sun

We propose variants of model-based trust region derivative-free algorithms that are closest to methods initially proposed and implemented by Powell. These methods rely on low degre…

math.OC2024

Generalized Ellipsoids

Amir Ali Ahmadi, Abraar Chaudhry, Cemil Dibek

We introduce a family of symmetric convex bodies called generalized ellipsoids of degree (GE-s), with ellipsoids corresponding to the case of . Generalized ellipsoids (…

math.OC2023

Higher-Order Newton Methods with Polynomial Work per Iteration

Amir Ali Ahmadi, Abraar Chaudhry, Jeffrey Zhang

We present generalizations of Newton's method that incorporate derivatives of an arbitrary order but maintain a polynomial dependence on dimension in their cost per iteration.…

math.OC2023★ 1 cited

Safely Learning Dynamical Systems

Amir Ali Ahmadi, Abraar Chaudhry, Vikas Sindhwani +1

A fundamental challenge in learning an unknown dynamical system is to reduce model uncertainty by making measurements while maintaining safety. We formulate a mathematical definiti…

math.OC2020★ 2 cited

Safely Learning Dynamical Systems from Short Trajectories

Amir Ali Ahmadi, Abraar Chaudhry, Vikas Sindhwani +1

A fundamental challenge in learning to control an unknown dynamical system is to reduce model uncertainty by making measurements while maintaining safety. In this work, we formulat…