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05/12/2023
The Progression of Disparities within the Criminal Justice System: Differential Enforcement and Risk Assessment Instruments
Algorithmic risk assessment instruments (RAIs) increasingly inform decis...
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02/18/2023
Optimising Human-Machine Collaboration for Efficient High-Precision Information Extraction from Text Documents
While humans can extract information from unstructured text with high pr...
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06/27/2022
Modeling Content Creator Incentives on Algorithm-Curated Platforms
Content creators compete for user attention. Their reach crucially depen...
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06/15/2022
Wide Bayesian neural networks have a simple weight posterior: theory and accelerated sampling
We introduce repriorisation, a data-dependent reparameterisation which t...
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06/28/2021
On component interactions in two-stage recommender systems
Thanks to their scalability, two-stage recommenders are used by many of ...
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09/01/2020
Exploration in two-stage recommender systems
Two-stage recommender systems are widely adopted in industry due to thei...
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06/18/2020
Exact posterior distributions of wide Bayesian neural networks
Recent work has shown that the prior over functions induced by a deep Ba...
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06/18/2020
Infinite attention: NNGP and NTK for deep attention networks
There is a growing amount of literature on the relationship between wide...
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12/05/2019
Neural Tangents: Fast and Easy Infinite Neural Networks in Python
Neural Tangents is a library designed to enable research into infinite-w...
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03/09/2019
Orthogonal Estimation of Wasserstein Distances
Wasserstein distances are increasingly used in a wide variety of applica...
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10/15/2018
Successor Uncertainties: exploration and uncertainty in temporal difference learning
We consider the problem of balancing exploration and exploitation in seq...
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07/05/2018
Variational Bayesian dropout: pitfalls and fixes
Dropout, a stochastic regularisation technique for training of neural ne...
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04/30/2018
Gaussian Process Behaviour in Wide Deep Neural Networks
Whilst deep neural networks have shown great empirical success, there is...
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11/08/2017
Variational Gaussian Dropout is not Bayesian
Gaussian multiplicative noise is commonly used as a stochastic regularis...
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05/22/2017
