Sequence to Better Sequence: Continuous Revision of Combinatorial Structures

We present a model that, after learning on observations of (sequence, outcome) pairs, can be efficiently used to revise a new sequence in order to improve its associated outcome. Our framework requires neither example improvements, nor additional evaluation of outcomes for proposed revisions... (read more)

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METHOD TYPE
AutoEncoder
Generative Models
VAE
Generative Models