Deep Generative Missingness Pattern-Set Mixture Models. - Sahra Ghalebikesabi; Rob Cornish; Chris C. Holmes; Luke J. Kelly (AISTATS, 2021)

On Multilevel Monte Carlo Unbiased Gradient Estimation for Deep Latent Variable Models. - Yuyang Shi 002; Rob Cornish (AISTATS, 2021)

Deep Generative Pattern-Set Mixture Models for Nonignorable Missingness. - Sahra Ghalebikesabi; Rob Cornish; Luke J. Kelly; Chris C. Holmes (CoRR, 2021)

Conformal Off-Policy Prediction in Contextual Bandits. - Muhammad Faaiz Taufiq; Jean-Francois Ton; Rob Cornish; Yee Whye Teh; Arnaud Doucet (NeurIPS, 2022)

Marginal Density Ratio for Off-Policy Evaluation in Contextual Bandits. - Muhammad Faaiz Taufiq; Arnaud Doucet; Rob Cornish; Jean-Francois Ton (NeurIPS, 2023)

Causal Falsification of Digital Twins. - Rob Cornish; Muhammad Faaiz Taufiq; Arnaud Doucet; Chris C. Holmes (CoRR, 2023)

Stochastic Neural Network Symmetrisation in Markov Categories. - Rob Cornish (CoRR, 2024)

Neural Network Symmetrisation in Concrete Settings. - Rob Cornish (CoRR, 2024)

SymDiff: Equivariant Diffusion via Stochastic Symmetrisation. - Leo Zhang; Kianoosh Ashouritaklimi; Yee Whye Teh; Rob Cornish (ICLR, 2025)