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09/07/2023
Learning continuous-valued treatment effects through representation balancing
Estimating the effects of treatments with an associated dose on an insta...
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05/31/2023
Learning Representations without Compositional Assumptions
This paper addresses unsupervised representation learning on tabular dat...
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03/03/2023
Causal Deep Learning
Causality has the potential to truly transform the way we solve a large ...
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12/01/2022
Navigating causal deep learning
Causal deep learning (CDL) is a new and important research area in the l...
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06/13/2022
Differentiable and Transportable Structure Learning
We are interested in unsupervised structure learning with a particular f...
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02/25/2022
Combining Observational and Randomized Data for Estimating Heterogeneous Treatment Effects
Estimating heterogeneous treatment effects is an important problem acros...
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02/04/2022
To Impute or not to Impute? – Missing Data in Treatment Effect Estimation
Missing data is a systemic problem in practical scenarios that causes no...
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12/07/2021
Disentangled Counterfactual Recurrent Networks for Treatment Effect Inference over Time
Choosing the best treatment-plan for each individual patient requires ac...
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10/25/2021
DECAF: Generating Fair Synthetic Data Using Causally-Aware Generative Networks
Machine learning models have been criticized for reflecting unfair biase...
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08/06/2021
Identifiable Energy-based Representations: An Application to Estimating Heterogeneous Causal Effects
Conditional average treatment effects (CATEs) allow us to understand the...
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08/26/2020
HydaLearn: Highly Dynamic Task Weighting for Multi-task Learning with Auxiliary Tasks
Multi-task learning (MTL) can improve performance on a task by sharing r...
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07/24/2020
The foundations of cost-sensitive causal classification
Classification is a well-studied machine learning task which concerns th...
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05/03/2020
Autoencoders for strategic decision support
In the majority of executive domains, a notion of normality is involved ...
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10/16/2019
Optimising Individual-Treatment-Effect Using Bandits
Applying causal inference models in areas such as economics, healthcare ...
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02/01/2019
