This repository contains the source code for “Thompson sampling efficient multiobjective optimization” (TSEMO).

The STK is a (not so) Small Toolbox for Kriging. Its primary focus is on the interpolation/regression technique known as kriging, which is very closely related to Splines and Radial Basis Functions, and can be interpreted as a non-parametric Bayesian method using a Gaussian Process (GP) prior.

GMPE-estimation implements a one-stage estimation algorithm to estimate ground-motion prediction equations (GMPE) with spatial correlation. It also quantifies the uncertainty of spatial correlation and intensity measure predictions.

Robust Simulation Optimization Kriging

Surrogate-Assisted Tuning

Pareto Front Estimation Using Unit Hyperplane

Autonomous field exploration simulation framework

Codes and documentation for a few class projects