20 citations · 51 across the 8 of their papers we have counts for
5 papers · 1 filter
Gaussian Process Thompson Sampling via Rootfinding
Taiwo A. Adebiyi, Bach Do, Ruda Zhang
Thompson sampling (TS) is a simple, effective stochastic policy in Bayesian decision making. It samples the posterior belief about the reward profile and optimizes the sample to ob…
Optimizing Posterior Samples for Bayesian Optimization via Rootfinding
Taiwo A. Adebiyi, Bach Do, Ruda Zhang
Bayesian optimization devolves the global optimization of a costly objective function to the global optimization of a sequence of acquisition functions. This inner-loop optimizatio…
Automated design of nonreciprocal thermal emitters via Bayesian optimization
Bach Do, Sina Jafari Ghalekohneh, Taiwo Adebiyi +2
Nonreciprocal thermal emitters that break Kirchhoff's law of thermal radiation promise exciting applications for thermal and energy applications. The design of the bandwidth and an…
Digital Twins and Civil Engineering Phases: Reorienting Adoption Strategies
Taiwo A. Adebiyi, Nafeezat A. Ajenifuja, Ruda Zhang
Digital twin (DT) technology has received immense attention over the years due to the promises it presents to various stakeholders in science and engineering. As a result, differen…
Epsilon-Greedy Thompson Sampling to Bayesian Optimization
Bach Do, Taiwo Adebiyi, Ruda Zhang
Bayesian optimization (BO) has become a powerful tool for solving simulation-based engineering optimization problems thanks to its ability to integrate physical and mathematical un…