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Data diversity: Preserving variety in data sets should aid machine learning
- q_revert 10y agoI think this is the paper, which oddly isn't linked in the article: https://arxiv.org/abs/1509.01618 https://arxiv.org/abs/1509.01618
- sidrajaram 10y agoThat seems to be a precursor to the work mentioned in the article. This is the one that was presented at NIPS this year: https://papers.nips.cc/paper/6182-fast-mixing-markov-chains-for-strongly-rayleigh-measures-dpps-and-constrained-sampling https://papers.nips.cc/paper/6182-fast-mixing-markov-chains-...
- ultrafilter 10y agoThe article has a link in a sidebar: https://arxiv.org/abs/1608.01008v2 https://arxiv.org/abs/1608.01008v2
- opaqe 10y agoIs there a more detailed paper describing the algorithm? The description is very vague in the article. When they pick the two points, is there an evaluation on how much "diversity" increases w/r/t each of the three possible operations, and that's how they choose? edit: thanks @q_revert for linking the paper
- rokosbasilisk 10y agoI believe they are using mcmcs at the core. markov chain multi carlos. this might be useful if you are wondering what it is http://mlwhiz.com/blog/2015/08/19/MCMC_Algorithms_Beta_Distribution/ http://mlwhiz.com/blog/2015/08/19/MCMC_Algorithms_Beta_Distr...