Semi-Supervised Learning, Causality and the Conditional Cluster Assumption

28 May 2019

Papers citing "Semi-Supervised Learning, Causality and the Conditional Cluster Assumption"

6 / 6 papers shown

Title
On the Role of Priors in Bayesian Causal Learning Bernhard C. Geiger Roman Kern CML 39 0 0 02 Apr 2025
On Non-Random Missing Labels in Semi-Supervised Learning Xinting Hu Yulei Niu Chunyan Miao Xiansheng Hua Hanwang Zhang 34 18 0 29 Jun 2022
Detecting hidden confounding in observational data using multiple environments R. Karlsson Jesse H. Krijthe CML OOD 42 12 0 27 May 2022
From Statistical to Causal Learning Bernhard Schölkopf Julius von Kügelgen CML 32 45 0 01 Apr 2022
Causal Direction of Data Collection Matters: Implications of Causal and Anticausal Learning for NLP Zhijing Jin Julius von Kügelgen Jingwei Ni Tejas Vaidhya Ayush Kaushal Mrinmaya Sachan Bernhard Schoelkopf CML 38 30 0 07 Oct 2021
Independent mechanism analysis, a new concept? Luigi Gresele Julius von Kügelgen Vincent Stimper Bernhard Schölkopf M. Besserve CML 23 100 0 09 Jun 2021