activity
20172020
most citedMixed-Integer Path-Stable Optimisation, with Applications in Model-Predictive Control of Water Systems

1 citations · 1 across the 4 of their papers we have counts for

collaborators

8 papers

math.OC20201 cited

Mixed-Integer Path-Stable Optimisation, with Applications in Model-Predictive Control of Water Systems

Jorn Baayen, Jakub Marecek

Many systems exhibit a mixture of continuous and discrete dynamics. We consider a family of mixed-integer non-convex non-linear optimisation problems obtained in discretisations of…

cs.CV2019

Deep Autoencoders with Value-at-Risk Thresholding for Unsupervised Anomaly Detection

Albert Akhriev, Jakub Marecek

Many real-world monitoring and surveillance applications require non-trivial anomaly detection to be run in the streaming model. We consider an incremental-learning approach, where…

math.PR2019

Iterated Piecewise-Stationary Random Functions

Ramen Ghosh, Jakub Marecek, Robert Shorten

Within the study of uncertain dynamical systems, iterated random functions are a key tool. There, one samples a family of functions according to a stationary distribution. Here, we…

math.OC2019

On-line Non-Convex Constrained Optimization

Olivier Massicot, Jakub Marecek

Time-varying non-convex continuous-valued non-linear constrained optimization is a fundamental problem. We study conditions wherein a momentum-like regularising term allow for the…

math.OC2019

Projections onto the Set of Feasible Inputs and the Set of Feasible Solutions

Claudio Gambella, Jakub Marecek, Martin Mevissen

We study the projection onto the set of feasible inputs and the set of feasible solutions of a polynomial optimisation problem (POP). Our motivation is increasing the robustness of…

math.OC2019

A Fine-Grained Variant of the Hierarchy of Lasserre

Wann-Jiun Ma, Jakub Marecek, Martin Mevissen

There has been much recent interest in hierarchies of progressively stronger convexifications of polynomial optimisation problems (POP). These often converge to the global optimum…