The papers on Safe Learning-based Model Predictive Control under State- and Input-dependent Uncertainty using Scenario Trees, A Low-complexity Tube Controller using Contractive Invariant Sets, and Tractable Global Solutions to Bayesian Optimal Experiment Design have been accepted for presentation at the IEEE Conference on Decision and Control.