Online Learning Rate Adaptation with Hypergradient Descent. - Atilim Gunes Baydin; Robert Cornish; David Martínez-Rubio; Mark Schmidt 001; Frank Wood (ICLR (Poster), 2018)

On Nesting Monte Carlo Estimators. - Tom Rainforth; Robert Cornish; Hongseok Yang; Andrew Warrington (ICML, 2018)

Scalable Metropolis-Hastings for Exact Bayesian Inference with Large Datasets. - Robert Cornish; Paul Vanetti; Alexandre Bouchard-Côté; George Deligiannidis; Arnaud Doucet (ICML, 2019)

Localised Generative Flows. - Robert Cornish; Anthony L. Caterini; George Deligiannidis; Arnaud Doucet (CoRR, 2019)

Relaxing Bijectivity Constraints with Continuously Indexed Normalising Flows. - Robert Cornish; Anthony L. Caterini; George Deligiannidis; Arnaud Doucet (ICML, 2020)

Variational inference with continuously-indexed normalizing flows. - Anthony L. Caterini; Robert Cornish; Dino Sejdinovic; Arnaud Doucet (UAI, 2021)

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