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Invariance & Causal Representation Learning: Prospects and Limitations., , , and . CoRR, (2023)Necessary and sufficient conditions for optimal adjustment sets in causal graphical models with hidden variables.. CoRR, (2021)Selecting Robust Features for Machine Learning Applications using Multidata Causal Discovery., , , , , and . CoRR, (2023)Conditional independence testing based on a nearest-neighbor estimator of conditional mutual information.. CoRR, (2017)Conditional independence testing based on a nearest-neighbor estimator of conditional mutual information.. AISTATS, volume 84 of Proceedings of Machine Learning Research, page 938-947. PMLR, (2018)Causal Discovery for time series from multiple datasets with latent contexts., , and . UAI, volume 216 of Proceedings of Machine Learning Research, page 766-776. PMLR, (2023)The Causality for Climate Competition., , , , and . NeurIPS (Competition and Demos), volume 123 of Proceedings of Machine Learning Research, page 110-120. PMLR, (2019)Conditional Dependence Tests Reveal the Usage of ABCD Rule Features and Bias Variables in Automatic Skin Lesion Classification., , , , and . CVPR Workshops, page 1810-1819. Computer Vision Foundation / IEEE, (2021)EarthNet2021: A Large-Scale Dataset and Challenge for Earth Surface Forecasting as a Guided Video Prediction Task., , , , and . CVPR Workshops, page 1132-1142. Computer Vision Foundation / IEEE, (2021)Determining the Relevance of Features for Deep Neural Networks., , and . ECCV (26), volume 12371 of Lecture Notes in Computer Science, page 330-346. Springer, (2020)