Journal of Machine Learning Research

JMLR has recently launched a Special Issue on ML for addressing problems of climate change! We welcome all submissions which use machine learning to address problems of climate change, including mitigation, adaptation, and climate science. [1/4]

'Exogenous Randomness Empowering Random Forests', by Tianxing Mei, Yingying Fan, Jinchi Lv.

jmlr.org/papers/v27/25-…

#forests #trees #tree

'Kernel Mean Embedding Deviation Subspace for Unsupervised Learning with Heterogeneous Data', by Luoyao Yu, Lixing Zhu, Ruoqing Zhu, Xuehu Zhu.

jmlr.org/papers/v27/25-…

#clustering #dimensional #embedding

'Deep Nonparametric Conditional Independence Tests for Images', by Marco Simnacher, Xiangnan Xu, Hani Park, Christoph Lippert, Sonja Greven.

jmlr.org/papers/v27/25-…

#confounders #confounder #embedding

'Semi-supervised learning for linear extremile regression', by Rong Jiang, Jiangfeng Wang, Keming Yu.

jmlr.org/papers/v27/25-…

#regression #nonparametric #quantile