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Next week, I will present a general method for debiasing a Monte Carlo estimator. I will discuss the work of [Don McLeish (2010)](https://arxiv.org/abs/1005.2228) and some applications for variational…
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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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Hello,
I tried the 'Optimization Tutorial' (https://amoeba2.readthedocs.io/en/latest/notebooks/optimization.html) and when I copy and paste the code exactly to optimise the fit of the simulated dat…
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@stepan-tsirkin It seems that you are implementing Wannierization, i.e. the wannier90.x part, in the wannierise branch, is it right?
Maybe after that feature is implemented, it would be interesting…
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Hi, nice work about Variational Autoencoder on recommendation. However, I am confused about the method of data split which is the same way as 2018WWW-Variational autoencoders for collaborative filteri…
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Project Name:
Team Name: Sky Barley
Which challenges would you like to submit your project for?
NVIDIA Challenge : We exploited cuQauntum and QODA for executing the quantum circuits.
Quantum c…
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### Team Name:
Finq
### Project Description:
We implemented variational quantum gate optimization algorithm (VQGO, arXiv:1810.12745) with pennylane. and noticed that the originally proposed…
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[ICML 2023 Workshop SPIGM homepage](https://openreview.net/group?id=ICML.cc/2023/Workshop/SPIGM)
```bib
@inproceedings{
wang-henderson2023graph,
title={Graph Neural Network Powered Bayesian Opt…
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# What kind of data to parse
We expect time-series of observables, correlation matrices and so on but *not* datafiles which need to be parsed.
Provide functions for calculating observables from fu…
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Hi all, thanks for the phenomenal library. We're already using it in several statistical genetics methods in my group!
I've been porting over some older code of mine to use optimistix, rather than …