Title: High-precision solutions for linear programs over the rational numbersSpeaker: Ambros GleixnerAffiliation: Zuse Institute BerlinLocation: CPSE seminar room (C615 Roderic Hill)Time: 3:00pmAbstract. About the speaker.

Title: Bayesian Optimization for Learning Robot ControlSpeaker: Dr. Marc DeisenrothAffiliation: Department of Computing - Imperial College LondonLocation: Room 217 Huxley BuildingTime: 3:00pmAbstract. Statistical machine learning has been a promising direction in control and robotics for more than a decade since data-driven learning allows us to reduce the amount of engineering knowledge that is otherwise required.... Read more »

Title: Visual-Inertial Odometry (VIO) Using Nonlinear OptimizationSpeaker: Dr. Stefan LeuteneggerAffiliation: Dyson Robotics Lab - Imperial College LondonLocation: Room 217 Huxley BuildingTime: 2:00pmAbstract. Visual-inertial fusion for state estimation and mapping has recently drawn increased attention. The sensing modalities offer compelling complementary characteristics, since inertial measurements provide strong short-term temporal correlations, while visual correspondences in images form... Read more »

Title: Static and Dynamic Assortment OptimizationSpeaker: Prof. Kalyan TalluriAffiliation: Imperial College London Business SchoolLocation: LT 311 Huxley BuildingTime: 2:00pmAbstract. Assortment Optimization is the problem of offering an optimal assortment from a ground set. Customers choose one of the offered products or decide not to purchase any. The dynamic version of this problem with finite inventories... Read more »

Title: Markov Random Field Optimization in Medical Image AnalysisSpeaker: Dr. Ben GlockerAffiliation: Department of Computing - Imperial College LondonLocation: Room 140 HuxleyTime: 2:00pmAbstract. Markov Random Fields (MRFs) are widely used for modelling image analysis problems, such as segmentation, denoising, and motion estimation. In this presentation, I will provide a brief overview of different applications of... Read more »

Title: Bayesian Optimization Speaker: Dr. Mike OsborneAffiliation: Department of Engineering Science - University of Oxford Location: Room 145 HuxleyTime: 2:00pmAbstract. About the speaker.

Title: McCormick Relaxations: Convergence Rate and Extension to Multivariate Outer FunctionsSpeaker: Prof. Alexander MitsosAffiliation: Laboratory for Process Systems Engineering - RWTH Aachen UniversityLocation: CPSE seminar room (C615 Roderic Hill)Time: 3:00pmAbstract. Optimization is a widely used tool in process systems engineering, but often the optimization problems have multiple suboptimal local minima. Deterministic global optimization algorithms can... Read more »

Title: Worst-case complexity of nonlinear optimization: Where do we stand?Speaker: Prof. Philippe TointAffiliation: Department of Mathematics – Université de NamurLocation: CPSE seminar room (C615 Roderic Hill)Time: 11:00amAbstract. We review the available results on the evaluation complexity of algorithms using Lipschitz-continuous Hessians for the approximate solution of nonlinear and potentially nonconvex optimization problems. Here, evaluation complexity... Read more »

Title: Formal Proofs for Nonlinear OptimizationSpeaker: Dr. Victor MagronAffiliation: Department of Electrical and Electronic Engineering - Imperial College LondonLocation: Room 217 Huxley BuildingTime: 2:00pmAbstract. We present a formally verified global optimization framework. Given a semialgebraic or transcendental function f and a compact semialgebraic domain K, we use the nonlinear maxplus template approximation algorithm to provide... Read more »

Title: Supply Chain Optimization - from strategic to operational decision levelsSpeaker: Prof. Ana Barbosa-PovoaAffiliation: University of LisbonLocation: CPSE seminar room (C615 Roderic Hill)Time: 3:00pmAbstract. Supply Chains are complex systems that involve challenging problems. Such problems require suitable answers so as to guarantee efficiency and responsiveness improvements of the involved systems. When answering to such problems... Read more »