Decoupled Variational Gaussian Inference
–Neural Information Processing Systems
Variational Gaussian (VG) inference methods that optimize a lower bound to the marginal likelihood are a popular approach for Bayesian inference. A difficulty remains in computation of the lower bound when the latent dimensionality L is large.
Neural Information Processing Systems
Feb-9-2025, 22:57:58 GMT
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- Research Report > New Finding (0.46)
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