| 2026 | AAAI | Hybrid Restricted Master Problem for Boolean Matrix Factorisation. | Ellen Visscher, Michael Forbes, Christopher Yau |
| 2022 | AISTATS | Derivative-Based Neural Modelling of Cumulative Distribution Functions for Survival Analysis. | Dominic Danks, Christopher Yau |
| 2021 | ICML | BasisDeVAE: Interpretable Simultaneous Dimensionality Reduction and Feature-Level Clustering with Derivative-Based Variational Autoencoders. | Dominic Danks, Christopher Yau |
| 2020 | AISTATS | Neural Decomposition: Functional ANOVA with Variational Autoencoders. | Kaspar Mrtens, Christopher Yau |
| 2020 | AISTATS | BasisVAE: Translation-invariant feature-level clustering with Variational Autoencoders. | Kaspar Mrtens, Christopher Yau |
| 2019 | AISTATS | Augmented Ensemble MCMC sampling in Factorial Hidden Markov Models. | Kaspar Mrtens, Michalis K. Titsias, Christopher Yau |
| 2019 | ICML | Decomposing feature-level variation with Covariate Gaussian Process Latent Variable Models. | Kaspar Mrtens, Kieran R. Campbell, Christopher Yau |
| 2018 | DSAA | MixDir: Scalable Bayesian Clustering for High-Dimensional Categorical Data. | Constantin Ahlmann-Eltze, Christopher Yau |
| 2018 | ICML | Probabilistic Boolean Tensor Decomposition. | Tammo Rukat, Christopher C. Holmes, Christopher Yau |
| 2017 | ICML | Bayesian Boolean Matrix Factorisation. | Tammo Rukat, Christopher C. Holmes, Michalis K. Titsias, Christopher Yau |