A unified framework shows that NCE, RLR, MIS, and bridge sampling are equivalent under specific conditions for energy-based models, enabling new estimators.
Introduction to latent variable energy-based models: a path toward autonomous machine intelligence
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A unifying view of contrastive learning, importance sampling, and bridge sampling for energy-based models
A unified framework shows that NCE, RLR, MIS, and bridge sampling are equivalent under specific conditions for energy-based models, enabling new estimators.