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06/01/2023
Nonparametric Identifiability of Causal Representations from Unknown Interventions
We study causal representation learning, the task of inferring latent ca...
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05/26/2023
Causal Component Analysis
Independent Component Analysis (ICA) aims to recover independent latent ...
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12/14/2022
Evaluating vaccine allocation strategies using simulation-assisted causal modelling
Early on during a pandemic, vaccine availability is limited, requiring p...
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07/13/2022
Probing the Robustness of Independent Mechanism Analysis for Representation Learning
One aim of representation learning is to recover the original latent cod...
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06/06/2022
Embrace the Gap: VAEs Perform Independent Mechanism Analysis
Variational autoencoders (VAEs) are a popular framework for modeling com...
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02/14/2022
On Pitfalls of Identifiability in Unsupervised Learning. A Note on: "Desiderata for Representation Learning: A Causal Perspective"
Model identifiability is a desirable property in the context of unsuperv...
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02/02/2022
Causal Inference Through the Structural Causal Marginal Problem
We introduce an approach to counterfactual inference based on merging in...
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06/09/2021
Independent mechanism analysis, a new concept?
Independent component analysis provides a principled framework for unsup...
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06/08/2021
Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style
Self-supervised representation learning has shown remarkable success in ...
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09/01/2020
Learning explanations that are hard to vary
In this paper, we investigate the principle that `good explanations are ...
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06/26/2020
Relative gradient optimization of the Jacobian term in unsupervised deep learning
Learning expressive probabilistic models correctly describing the data i...
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05/14/2020
Simpson's paradox in Covid-19 case fatality rates: a mediation analysis of age-related causal effects
We point out an example of Simpson's paradox in COVID-19 case fatality r...
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05/29/2019
Private Causal Inference using Propensity Scores
The use of propensity score methods to reduce selection bias when determ...
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05/16/2019
The Incomplete Rosetta Stone Problem: Identifiability Results for Multi-View Nonlinear ICA
We consider the problem of recovering a common latent source with indepe...
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03/06/2019