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11/20/2022
Counterfactual Learning with Multioutput Deep Kernels
In this paper, we address the challenge of performing counterfactual inf...
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06/21/2022
Interpretable Deep Causal Learning for Moderation Effects
In this extended abstract paper, we address the problem of interpretabil...
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11/15/2021
Regional Topics in British Grocery Retail Transactions
Understanding the customer behaviours behind transactional data has high...
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02/12/2021
Sparse Bayesian Causal Forests for Heterogeneous Treatment Effects Estimation
This paper develops a sparsity-inducing version of Bayesian Causal Fores...
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09/14/2020
Estimating Individual Treatment Effects using Non-Parametric Regression Models: a Review
Large observational data are increasingly available in disciplines such ...
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05/04/2020
Modelling Grocery Retail Topic Distributions: Evaluation, Interpretability and Stability
Understanding the shopping motivations behind market baskets has high co...
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05/15/2018
Dirichlet Process Mixtures of Order Statistics with Applications to Retail Analytics
The rise of "big data" has led to the frequent need to process and store...
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05/15/2018
Bayesian hierarchical modelling of sparse count processes in retail analytics
The field of retail analytics has been transformed by the availability o...
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04/25/2018