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As discussed in https://discourse.mc-stan.org/t/problem-running-loo-subsample-with-variational-inference-and-cmdstanr/22506/13
Documentation for the `loo_approximate_posterior` and `loo_subsample` …
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Hi,
Can we implement other regression loss for deep kernels?
For my project, due to the target value distribution, smooth L1 loss is the most suitable empirical loss function for my deep model. To…
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Hello dear community,
K_xx denotes the matrix containing all pairs of kernel entries [1].
* [x] descent algos (~~should review~~: should add connect…
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Dear Gpytorch Developers,
Thanks for the great software. I'm trying to follow the GPLVM example here:
https://docs.gpytorch.ai/en/stable/examples/045_GPLVM/Gaussian_Process_Latent_Variable_Mod…
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To enable processing of CIFAR10 with the Coupled VAE a variety of enhancements are required. One critical one is to incorporate supervised learning with labels for the 10 classes of the CIFAR images. …
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Hello,
In my implementation of Variational Network, I have been always facing **OSError: Unable to open file (file signature not found)**. (Especially retrieving and reading the metadata in mr…
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in following constellation Dense(784,784) -> GP (see snippets below) I have following parameters for the optimization
```
torch.Size([784, 784])
torch.Size([784])
torch.Size([])
torch.Size([1, …
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Используя sparce aproximation и variational inference в модели gpflow мы можем добовлять в модель новые данные (см. #114), но нужно понимать насколько мы при этом проигрываем в качестве модели по срав…
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Hey everyone!
Thanks for the work put in ReactiveMP and the surrounding projects, it looks very interesting!
This is, perhaps, more of a question than an issue, so please feel free to redirect i…