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

Jovana Mitrovic
is this you? claim profile