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I am not able to load the cython_util.so. Is there an instruction on how to compile one?
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To illustrate that stochastic downsampling may be a source of variability in results, we fully implemented SPADE's density estimator + downsampling rules.
Applied it to a synthetic dataset:
![image](…
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Basically, I need to save the state of the random number generator pool on the disk and load it back next time for continuation. I know that on CUDA backend, there is some stochasticity when creating …
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The first time I saw the trajectories example for neural ODE, I realized that it seems to illustrate the same pattern as the compression and expansion waves of markets:
This will be my next scr…
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It seems like we should be able to implement an analog to RMSMC (https://github.com/tweag/monad-bayes/blob/master/src/Control/Monad/Bayes/Inference/RMSMC.hs, in particular `rmsmcDynamic`), which basic…
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It would be great if someone implemented partial_fit for BayesianGaussianMixture using mean field [stochastic variational inference.](http://jmlr.org/papers/volume14/hoffman13a/hoffman13a.pdf) Fittin…
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If yout take a look at https://github.com/ruby-concurrency/concurrent-ruby/blob/bbeacbcebf72668ed04df0738df7e3a654f7c177/lib-edge/concurrent/lazy_register.rb#L61 you will see, that it has a bug.
Wh…
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I don't see how the stochasticity of the actions 1/T*... is implemented in the theano line above. Isn't log_ likelihood_sym only computing one distribution? and not T of them and taking the averag…
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Would you look into:
/.../python3.6/site-packages/sklearn/linear_model/stochastic_gradient.py:117: DeprecationWarning: n_iter parameter is deprecated in 0.19 and will be removed in 0.21. Use max_iter…
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Is there a reason you compute the mean on the training set and the standard deviation on the test set? (lines 75 and 76)
https://github.com/ICL-SML/Doubly-Stochastic-DGP/blob/bac0d6617c706117f02ac…