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06/13/2023
Additive Causal Bandits with Unknown Graph
We explore algorithms to select actions in the causal bandit setting whe...
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06/10/2023
Functional Causal Bayesian Optimization
We propose functional causal Bayesian optimization (fCBO), a method for ...
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05/31/2023
Constrained Causal Bayesian Optimization
We propose constrained causal Bayesian optimization (cCBO), an approach ...
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04/12/2023
DiscoGen: Learning to Discover Gene Regulatory Networks
Accurately inferring Gene Regulatory Networks (GRNs) is a critical and c...
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04/11/2022
Learning to Induce Causal Structure
The fundamental challenge in causal induction is to infer the underlying...
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02/22/2022
Why Fair Labels Can Yield Unfair Predictions: Graphical Conditions for Introduced Unfairness
In addition to reproducing discriminatory relationships in the training ...
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02/02/2022
Maintaining fairness across distribution shift: do we have viable solutions for real-world applications?
Fairness and robustness are often considered as orthogonal dimensions wh...
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10/21/2021
Statistical discrimination in learning agents
Undesired bias afflicts both human and algorithmic decision making, and ...
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07/02/2021
Prequential MDL for Causal Structure Learning with Neural Networks
Learning the structure of Bayesian networks and causal relationships fro...
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01/06/2021
Fairness with Continuous Optimal Transport
Whilst optimal transport (OT) is increasingly being recognized as a powe...
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12/31/2020
Fairness in Machine Learning
Machine learning based systems are reaching society at large and in many...
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09/12/2019
Explicit-Duration Markov Switching Models
Markov switching models (MSMs) are probabilistic models that employ mult...
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07/28/2019
Wasserstein Fair Classification
We propose an approach to fair classification that enforces independence...
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07/20/2019
Unsupervised Separation of Dynamics from Pixels
We present an approach to learn the dynamics of multiple objects from im...
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07/15/2019
A Causal Bayesian Networks Viewpoint on Fairness
We offer a graphical interpretation of unfairness in a dataset as the pr...
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05/08/2019
Meta-learning of Sequential Strategies
In this report we review memory-based meta-learning as a tool for buildi...
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02/27/2019
Degenerate Feedback Loops in Recommender Systems
Machine learning is used extensively in recommender systems deployed in ...
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01/23/2019
Causal Reasoning from Meta-reinforcement Learning
Discovering and exploiting the causal structure in the environment is a ...
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02/22/2018
Path-Specific Counterfactual Fairness
We consider the problem of learning fair decision systems in complex sce...
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04/07/2017
Recurrent Environment Simulators
Models that can simulate how environments change in response to actions ...
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04/11/2011