The paper proposes two score matching objectives for partially missing data, proves a finite-sample bound for the truncated importance-weighted variant, and shows improved graphical model edge recovery on stock and yeast data.
Bi-level score matching for learning energy-based latent variable models
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Score Matching With Missing Data
The paper proposes two score matching objectives for partially missing data, proves a finite-sample bound for the truncated importance-weighted variant, and shows improved graphical model edge recovery on stock and yeast data.