Rob Cornish
Rob Cornish
Bestätigte E-Mail-Adresse bei robots.ox.ac.uk - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Online Learning Rate Adaptation with Hypergradient Descent
AG Baydin, R Cornish, DM Rubio, M Schmidt, F Wood
arXiv preprint arXiv:1703.04782, 2017
872017
On Nesting Monte Carlo Estimators
T Rainforth, R Cornish, H Yang, A Warrington
International Conference on Machine Learning, 4264-4273, 2018
50*2018
Relaxing Bijectivity Constraints with Continuously Indexed Normalising Flows
R Cornish, AL Caterini, G Deligiannidis, A Doucet
arXiv preprint arXiv:1909.13833, 2019
9*2019
Scalable Metropolis-Hastings for Exact Bayesian Inference with Large Datasets
R Cornish, P Vanetti, A Bouchard-Côté, G Deligiannidis, A Doucet
arXiv preprint arXiv:1901.09881, 2019
92019
On the Pitfalls of Nested Monte Carlo
T Rainforth, R Cornish, H Yang, F Wood
arXiv preprint arXiv:1612.00951, 2016
82016
Analyzing array manipulating programs by program transformation
JRM Cornish, G Gange, JA Navas, P Schachte, H Søndergaard, ...
International Symposium on Logic-Based Program Synthesis and Transformation …, 2014
42014
Variational Inference with Continuously-Indexed Normalizing Flows
A Caterini, R Cornish, D Sejdinovic, A Doucet
arXiv preprint arXiv:2007.05426, 2020
12020
Towards a Testable Notion of Generalization for Generative Adversarial Networks
R Cornish, H Yang, F Wood
12018
Efficient exact inference in discrete Anglican programs
R Cornish, F Wood, H Yang
Workshop on Probabilitic Programming Semantics, colocated with ACM POPL 17, 2017
12017
Robust Predictive Uncertainty for Neural Networks via Confidence Densities
R Cornish, G Deligiannidis, A Doucet
ICML Workshops, 2019
2019
Scalable Metropolis–Hastings for Exact Bayesian Inference with Large Datasets: Supplementary Material
R Cornish, P Vanetti, A Bouchard-Côté, G Deligiannidis, A Doucet
Submodular Optimization Via Reinforcement Learning
R Cornish, PHS Torr
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