Gaussian mixture with local parameters and global parameters via klqp method
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General
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(1)
Implementation of replica exchange monte carlo for bayesflow
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(2)
Varying mini-batch-size, n_samples and learning rate during training
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(1)
Tensorflow NanLossDuringTrainingError
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(1)
Issue applying SGHMC on LeNet CNN
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(3)
Unsuccesful Cholesky decomposition - Gaussian Process Regression
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(4)
Bayesian RNN / GRU for Molecules
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(3)
Custom random variable with two parts
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(1)
Mixture of Linear Regression: How?
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(2)
Changing a placeholder between gradient steps
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(2)
Updating non-trainable variables used in batch inference .update() call
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(1)
Marginal distribution
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(5)
Is factorization implied in Edward's inference methods?
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(2)
Is the expectation propagation example running in distributed tensorflow?
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(2)
Probabilistic decoder generating variance?
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(2)
Parameter learning of hidden(latent) nodes for arbitrary bayesian network
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(1)
Variational Inference with Composition of Variables
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(7)
InvalidArgumentError: assertion failed: [predictions must be in [0, 1]]
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(1)
Parameter Learning with Simple Bayesian Network; PyMC3 vs. Edward; Edward posteriors not converging around correct parameter values
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(3)
Are two mixture models with shared categorical distribution dependent/independent?
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(4)
Bayesian neural network for classification
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(5)
Why Edward for Gaussian processes?
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(3)
Using RelaxedBernoulli for a Zero-Inflated Poisson model
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(3)
Variational inference with KLqp for LSTM example
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(1)
Likelihood Free Variational Inference (Implicitqp function) help
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(1)
Not only observations, but observations and their uncertainties
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(1)
Why is Edward, imho, the greatest idea since sliced bread, so poorly supported?
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(7)
Loss increasing in inference of Poisson Factorization
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(11)
Variational Distribution for hierarchical model
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(1)
Bayesian Network inference using Edward
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(4)
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