438 citations · 875 across the 77 of their papers we have counts for
6 papers · 2 filters
Zeroth-order optimisation on subsets of symmetric matrices with application to MPC tuning
Alejandro I. Maass, Chris Manzie, Iman Shames +1
This paper provides a zeroth-order optimisation framework for non-smooth and possibly non-convex cost functions with matrix parameters that are real and symmetric. We provide compl…
Ordinal Optimisation and the Offline Multiple Noisy Secretary Problem
Robert Chin, Jonathan E. Rowe, Iman Shames +2
We study the success probability for a variant of the secretary problem, with noisy observations and multiple offline selection. Our formulation emulates, and is motivated by, prob…
Non-uniform Observability for Moving Horizon Estimation and stability with respect to additive perturbation
Emilien Flayac, Iman Shames
This paper formalises the concepts of weakly and weakly regularly persistent input trajectory as well as their link to the Observability Grammian and the existence and uniqueness o…
Sensitivity Analysis for Bottleneck Assignment Problems
Elad Michael, Tony A. Wood, Chris Manzie +1
In assignment problems, decision makers are often interested in not only the optimal assignment, but also the sensitivity of the optimal assignment to perturbations in the assignme…
Asynchronous Distributed Optimization via Dual Decomposition and Block Coordinate Subgradient Methods
Yankai Lin, Iman Shames, Dragan Nesic
We study the problem of minimizing the sum of potentially non-differentiable convex cost functions with partially overlapping dependences in an asynchronous manner, where communica…
A Sequential Learning Algorithm for Probabilistically Robust Controller Tuning
Robert Chin, Chris Manzie, Iman Shames +2
We introduce a sequential learning algorithm to address a robust controller tuning problem, which in effect, finds (with high probability) a candidate solution satisfying the inter…