Sample-Efficient Optimization in the Latent Space of Deep Generative Models via Weighted Retraining

16 Jun 2020Austin TrippErik DaxbergerJosé Miguel Hernández-Lobato

Many important problems in science and engineering, such as drug design, involve optimizing an expensive black-box objective function over a complex, high-dimensional, and structured input space. Although machine learning techniques have shown promise in solving such problems, existing approaches substantially lack sample efficiency... (read more)

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