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Determinantal point process
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I just stumbled upon an article published at COLT 2015: > In order to avoid this cost, recently Kang (2013) considered a Markov chain Monte Carlo (MCMC) algorithm to sample...
There is a missing bracket in calculation of p in function sample_k, which leads to wrong value of p.
While it was supposed to do the contrary, right? Sets of higher volume are supposed to be more frequent. I made a simulation where I ordered all subsets by decreasing...