Incremental Sampling Without Replacement for Sequence Models

Kensen Shi, David Bieber, Charles Sutton

Abstract: Sampling is a fundamental technique, and sampling without replacement is often desirable when duplicate samples are not beneficial. Within machine learning, sampling is useful for generating divers...