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cs.LG2021
Prequential MDL for Causal Structure Learning with Neural Networks
Jorg Bornschein, Silvia Chiappa, Alan Malek +1
Learning the structure of Bayesian networks and causal relationships from observations is a common goal in several areas of science and technology. We show that the prequential min…
cs.LG2021★ 5 cited
Fast and Slow Learning of Recurrent Independent Mechanisms
Kanika Madan, Nan Rosemary Ke, Anirudh Goyal +2
Decomposing knowledge into interchangeable pieces promises a generalization advantage when there are changes in distribution. A learning agent interacting with its environment is l…