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Tracked through public AI activity and peer connections inside the directory.
A nice tutorial on modern gradient-based MCMC samplers highlighting the link between continuous time theoretical analysis and issues that matter to practitioners. This would have been ideal background for understanding modern developments in MCMC I saw at math.ethz.ch/fim/acti…
This problem is called "coreset selection" in ML. Methods generally depend on choice of target quantity, but presumably if you are willing to select survey measures you can choose those. Some randomly chosen lit reviews: arxiv.org/abs/1703.06476 arxiv.org/abs/2505.17799
This problem is called "coreset selection" in ML. Methods generally depend on choice of target quantity, but presumably if you are willing to select survey measures you can choose those. Some randomly chosen lit reviews: arxiv.org/abs/1703.06476 arxiv.org/abs/2505.17799
Also, @aschuler.bsky.social has a method with the same objective but with boosting instead of forests or Lasso. This class of methods is especially helpful for the average derivative functional because you can avoid using density derivative estimation that you need for the plu…
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