research
∙
11/23/2022
Causal Analysis of the TOPCAT Trial: Spironolactone for Preserved Cardiac Function Heart Failure
We describe the results of applying causal discovery methods on the data...
share
research
∙
11/21/2022
Equality of Effort via Algorithmic Recourse
This paper proposes a method for measuring fairness through equality of ...
research
∙
10/11/2022
A Causal Analysis of Harm
As autonomous systems rapidly become ubiquitous, there is a growing need...
research
∙
09/29/2022
A Quantitative Account of Harm
In a companion paper (Beckers et al. 2022), we defined a qualitative not...
research
∙
08/17/2022
Domain Knowledge in A*-Based Causal Discovery
Causal discovery has become a vital tool for scientists and practitioner...
research
∙
08/13/2022
A Study of Demographic Bias in CNN-based Brain MR Segmentation
Convolutional neural networks (CNNs) are increasingly being used to auto...
research
∙
01/27/2022
Vision Checklist: Towards Testable Error Analysis of Image Models to Help System Designers Interrogate Model Capabilities
Using large pre-trained models for image recognition tasks is becoming i...
research
∙
11/16/2021
Causal policy ranking
Policies trained via reinforcement learning (RL) are often very complex ...
research
∙
10/27/2021
Transfer learning with causal counterfactual reasoning in Decision Transformers
The ability to adapt to changes in environmental contingencies is an imp...
research
∙
03/05/2021
Compositional Explanations for Image Classifiers
Existing algorithms for explaining the output of image classifiers perfo...
research
∙
11/15/2020
Safety Synthesis Sans Specification
We define the problem of learning a transducer S from a target language ...
research
∙
08/31/2020
Ranking Policy Decisions
Policies trained via Reinforcement Learning (RL) are often needlessly co...
research
∙
05/20/2020
Combining Experts' Causal Judgments
Consider a policymaker who wants to decide which intervention to perform...
research
∙
08/06/2019
Explaining Deep Neural Networks Using Spectrum-Based Fault Localization
Deep neural networks (DNNs) increasingly replace traditionally developed...
research
∙
12/09/2014