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It would be really great if posterior had a capacity to have reduced the standard errors associated with the expectations it can produce (eg mean, var and sd). Recent work [1] has shown that, if we us…
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- [ ] [LMOps/README.md at main · microsoft/LMOps](https://github.com/microsoft/LMOps/blob/main/README.md?plain=1)
# LMOps/README.md at main · microsoft/LMOps
## LMOps
LMOps is a research initiati…
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Dear Hugh,
Firstly i would like to thank you for your paper "Doubly Stochastic Variational Inference for DGP" and sharing its implementation online.
I started working with your implementation recent…
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Similar to #695 (closed). In the original discussion, participants did not seem to understand the difference between "learning-to-rank" and "ordinal classification". "learning-to-rank" produce relativ…
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Splitting work on design tools into its own tracking issue and out of #20331, which we are reserving for infrastructure and global styles specifically.
## Goal
Design tools encompass all tools r…
mtias updated
1 month ago
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TL;DR The calculated gradient of the max-operation is not always in the subdifferential.
**Idea**
Let **x** _= (x_1,...,x_N)_ be a real vector and consider the function
_f(x_1,...,x_N) = max(x_1,...…
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Hi - I'm trying to understand whether offsets can be used for Poisson models in the natural way.
By this I mean that my observations have heterogenous "observation length", which is naturally model…
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I get this error in cell[11] when trying to run poker-dvs_classifier.ipynb : only Tensors of floating point and complex dtype can require gradients.
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Minimal reproducible example:
```python
import tensorflow.compat.v2 as tf
import tensorflow_probability as tfp
tfd = tfp.distributions
dist = tfd.Normal(0., 1.)
def vectorized_logpfn(*stat…
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## Description
Running an SVGP with NatGrad optimizer fails because `meanvarsqrt_to_natural` expects a full covariance shape.
## MVCE
```python
X = np.random.uniform(size=[N,1])
Y = X
m =…