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cs.LG2023
Fully Variational Noise-Contrastive Estimation
Christopher Zach
By using the underlying theory of proper scoring rules, we design a family of noise-contrastive estimation (NCE) methods that are tractable for latent variable models. Both terms i…
cs.LG2023★ 1 cited
Dual Propagation: Accelerating Contrastive Hebbian Learning with Dyadic Neurons
Rasmus Høier, D. Staudt, Christopher Zach
Activity difference based learning algorithms-such as contrastive Hebbian learning and equilibrium propagation-have been proposed as biologically plausible alternatives to error ba…