Michael Shvartsman
Michael Shvartsman
Summary: More BoTorch API compatibility fixes, this time for lookahead LSE acquisition. Differential Revision: D36333559
Summary: This is a full example experiment with psychopy, measuring the CSF in up to 8d. Differential Revision: D37896950
Summary: This is useful when some benchmark configurations are invalid Differential Revision: D36214512
This is a TF2 port of the matrix-normal SRM code we used in https://arxiv.org/abs/1711.03058. It's not quite ready for merge but I'm putting up the PR to start discussion and...
Most of the methods in brainiak have hyperparameters that need to be tuned. It would be useful to make hyperparameter optimization easy for practitioners to apply. There have been a...
A lot of the structure-exploiting linear algebra in `brainiak.matnormal` is basically the same as in `tf.linalg.LinearOperator`. I'm not sure if I didn't know about it or it didn't exist in...
Looking at Anderson et al. 2016 (https://arxiv.org/pdf/1608.04647.pdf) expression 13 the 2nd term $\Sigma_{\mu}$ is not indexed by $k$. On the other hand, in the code here https://github.com/brainiak/brainiak/blob/master/brainiak/factoranalysis/tfa.py#L725 `template_centers_mean_cov` (which I...
In BRSA/GBRSA the `score` and `transform` functions use assumptions on X and X0 that do not exist in the fit method (namely that both X and X0 are AR1). Additionally,...
SRM and (H)TFA, and Bayesian RSA are all Bayesian models. It would be great if they exposed a method that produces a log-likelihood given some data and parameters. This would...
# 🐛 Bug As far as I can tell `botorch.optim.optimize_acqf` leaves a tiny bit of memory behind somewhere. It seems worse for q-batched acquisition functions (at least, for qUCB and...