Cornish, Rob

10 publications

ICLR 2025 SymDiff: Equivariant Diffusion via Stochastic Symmetrisation Leo Zhang, Kianoosh Ashouritaklimi, Yee Whye Teh, Rob Cornish

NeurIPSW 2024 Neural Network Symmetrisation in Concrete Settings Rob Cornish

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

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

AISTATS 2021 Deep Generative Missingness Pattern-Set Mixture Models Sahra Ghalebikesabi, Rob Cornish, Chris Holmes, Luke Kelly

AISTATS 2021 On Multilevel Monte Carlo Unbiased Gradient Estimation for Deep Latent Variable Models Yuyang Shi, Rob Cornish

UAI 2021 Variational Inference with Continuously-Indexed Normalizing Flows Anthony Caterini, Rob Cornish, Dino Sejdinovic, Arnaud Doucet

ICML 2020 Relaxing Bijectivity Constraints with Continuously Indexed Normalising Flows Rob Cornish, Anthony Caterini, George Deligiannidis, Arnaud Doucet

ICML 2019 Scalable Metropolis-Hastings for Exact Bayesian Inference with Large Datasets Rob Cornish, Paul Vanetti, Alexandre Bouchard-Cote, George Deligiannidis, Arnaud Doucet

ICML 2018 On Nesting Monte Carlo Estimators Tom Rainforth, Rob Cornish, Hongseok Yang, Andrew Warrington, Frank Wood