June 11, 2024, 4:44 a.m. | Zhuoqun Wang, Naoki Awaya, Li Ma

stat.ML updates on arXiv.org arxiv.org

arXiv:2406.05260v1 Announce Type: new
Abstract: A common objective in the analysis of tabular data is estimating the conditional distribution (in contrast to only producing predictions) of a set of "outcome" variables given a set of "covariates", which is sometimes referred to as the "density regression" problem. Beyond estimation on the conditional distribution, the generative ability of drawing synthetic samples from the learned conditional distribution is also desired as it further widens the range of applications. We propose a flow-based generative …

abstract analysis arxiv beyond contrast cs.lg data distribution generative generative modeling modeling predictions problem regression set stat.ml tabular tabular data through tree type variables

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