Papers with Conditional models

1 papers
Noise Contrastive Estimation and Negative Sampling for Conditional Models: Consistency and Statistical Efficiency (D18-1)

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Challenge: Conditional models are frequently encountered in practice, but there has not been a rigorous theoretical analysis of NCE in this setting.
Approach: They propose to use a ranking-based and ranking-only method for conditional models to estimate parameter estimates.
Outcome: The proposed method avoids calculation of partition function or derivatives at each training step . it is closely related to negative sampling methods, now widely used in NLP .

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