v0.3.1 Reduce dependencies, addition of some continuous DPP samplers
@danielecc simplified installation instructions to work with minimal dependencies: numpy
, scipy
, matplotlib
.
See also README
for more details.
Additional dependencies:
zonotope
for the zonotope MCMC based sampler usingcvxopt
,trees
for uniform spanning tree samplers usingnetworkx
,docs
for the documentation usingsphinxcontrib-bibtex
andsphinx_rtd_theme
,
can be installed locally after cloning the repo.
@guilgautier contributed with (see also /notebooks
):
-
an exact sampler for multivariate Jacobi ensembles used to do Monte Carlo integration
On two ways to use determinantal point processes for Monte Carlo integration
G. Gautier, R. Bardenet, M.Valko, NeurIPS, 2019. -
a Markov chain based sampler for beta-ensembles with polynomial potential
Fast sampling from beta-ensembles
G. Gautier, R. Bardenet, M.Valko, arXiv preprint, 2020.