We estimate n phases (angles) from noisy pairwise relative phase measurements. The task
is modeled as a nonconvex least-squares optimization problem. It was recently shown that …

Maximum likelihood estimation problems are, in general, intractable optimization problems.
As a result, it is common to approximate the maximum likelihood estimator (MLE) using …

Recovering global rankings from pairwise comparisons has wide applications from time
synchronization to sports team ranking. Pairwise comparisons corresponding to matches in …

This paper studies the synchronization of complex networks with probabilistic interval delay
and Markov switching topologies by using a novel dynamic self-triggered control (DSTC) …

We present a physically inspired model and an efficient algorithm to infer hierarchical
rankings of nodes in directed networks. It assigns real-valued ranks to nodes rather than …

Like many optimizers, Bayesian optimization often falls short of gaining user trust due to
opacity. While attempts have been made to develop human-centric optimizers, they typically …

When solving large-scale semidefinite programs that admit a low-rank solution, an efficient
heuristic is the Burer--Monteiro factorization: instead of optimizing over the full matrix, one …

Aim Ideally, datasets for species distribution modelling (SDM) contain evenly sampled
records covering the entire distribution of the species, confirmed absences and auxiliary …

In multivariate time series systems, it has been observed that certain groups of variables
partially lead the evolution of the system, while other variables follow this evolution with a …

An estimation problem of fundamental interest is that of phase (or angular) synchronization,
in which the goal is to recover a collection of phases (or angles) using noisy measurements …