12 citations · 25 across the 15 of their papers we have counts for
9 papers · 1 filter
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…
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…
A Distributed Augmenting Path Approach for the Bottleneck Assignment Problem
Mitchell Khoo, Tony A. Wood, Chris Manzie +1
We develop an algorithm to solve the Bottleneck Assignment Problem (BAP) that is amenable to having computation distributed over a network of agents. This consists of exploring how…
Exploiting Structure in the Bottleneck Assignment Problem
Mitchell Khoo, Tony A. Wood, Chris Manzie +1
An assignment problem arises when there exists a set of tasks that must be allocated to a set of agents. The bottleneck assignment problem (BAP) has the objective of minimising the…
Uncertainty Intervals for Robust Bottleneck Assignment
Elad Michael, Tony A. Wood, Chris Manzie +1
We examine the robustness of bottleneck assignment problems to perturbations in the assignment weights. We derive two algorithms that provide uncertainty bounds for robust assignme…