4 datasets found

Groups: Bayesian Optimization Organizations: No Organization Formats: JSON

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  • Posterior Objectives

    The dataset used in the paper is a set of posterior objectives, which are used to evaluate the performance of the Deterministic Langevin Optimization algorithm.

  • Deterministic Langevin Optimization

    The dataset used in the paper is a set of expensive black-box functions, which are maximized using the Deterministic Langevin Optimization algorithm.

  • PG-LBO

    The dataset used in the paper is not explicitly described, but it is mentioned that the authors used a pool of unlabeled data to construct the latent space.

  • ε-greedy Thompson Sampling

    Two benchmark functions (2d Ackley and 6d Rosenbrock) and a steel cantilever beam dataset