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DIET: Conditional independence testing with marginal dependence measures of residual information.

, , , and . CoRR, (2022)

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Unsupervised learning of hierarchical representations with convolutional deep belief networks., , , and . Commun. ACM, 54 (10): 95-103 (2011)Noisin: Unbiased Regularization for Recurrent Neural Networks., , , and . ICML, volume 80 of Proceedings of Machine Learning Research, page 1251-1260. PMLR, (2018)Support and Invertibility in Domain-Invariant Representations., , and . AISTATS, volume 89 of Proceedings of Machine Learning Research, page 527-536. PMLR, (2019)Inverse-Weighted Survival Games., , , , , and . NeurIPS, page 2160-2172. (2021)Operator Variational Inference., , , and . NIPS, page 496-504. (2016)CONTRA: Contrarian statistics for controlled variable selection., , , , and . AISTATS, volume 130 of Proceedings of Machine Learning Research, page 1900-1908. PMLR, (2021)Don't be fooled: label leakage in explanation methods and the importance of their quantitative evaluation., , and . AISTATS, volume 206 of Proceedings of Machine Learning Research, page 8925-8953. PMLR, (2023)From algorithms to action: improving patient care requires causality., , , , and . BMC Medical Informatics Decis. Mak., 24 (3): 111 (December 2024)An Effective Meaningful Way to Evaluate Survival Models., , , , , , , and . CoRR, (2023)What's the score? Automated Denoising Score Matching for Nonlinear Diffusions., , and . ICML, OpenReview.net, (2024)