A Chance-Constrained Generative Framework for Sequence Optimization

Xianggen Liu, Qiang Liu, Sen Song, Jian Peng

Abstract: Deep generative modeling has achieved many successes for continuous data generation, such as producing realistic images and controlling their properties (e.g., styles). However, the development of ...