Knowing the What But Not the Where in Bayesian Optimization

Attend a seminar on Bayesian optimization featuring Dr. Vu Nguyen, Senior Research Associate at the University of Oxford's Machine Learning Research Group. Explore a novel approach in Bayesian optimization where the optimum output is known, but the corresponding input needs to be determined. Learn how this method can be applied to efficiently tune hyperparameters in deep reinforcement learning and supervised learning. Gain insights from Dr. Nguyen's extensive experience in machine learning, including his work on Bayesian optimization for quantum device tuning and his award-winning research in the field. Discover how this innovative approach can potentially improve the efficiency of optimization processes in various applications.