
Representation Learning via Invariant Causal Mechanisms
Selfsupervised learning has emerged as a strategy to reduce the relianc...
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Amortized learning of neural causal representations
Causal models can compactly and efficiently encode the datagenerating p...
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Causally Correct Partial Models for Reinforcement Learning
In reinforcement learning, we can learn a model of future observations a...
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Causal Reasoning from Metareinforcement Learning
Discovering and exploiting the causal structure in the environment is a ...
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Causal Inference via Kernel Deviance Measures
Discovering the causal structure among a set of variables is a fundament...
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Hierarchical Adversarially Learned Inference
We propose a novel hierarchical generative model with a simple Markovian...
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DRABC: Approximate Bayesian Computation with KernelBased Distribution Regression
Performing exact posterior inference in complex generative models is oft...
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Jovana Mitrovic
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