david rohde
david rohde
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Cited by
Cited by
The HIPASS catalogue—III. Optical counterparts and isolated dark galaxies
MT Doyle, MJ Drinkwater, DJ Rohde, KA Pimbblet, M Read, MJ Meyer, ...
Monthly Notices of the Royal Astronomical Society 361 (1), 34-44, 2005
Spatio-temporal patterns of a Public Bicycle Sharing Program: the effect of weather and calendar events
J Corcoran, T Li, D Rohde, E Charles-Edwards, D Mateo-Babiano
Journal of Transport Geography 41, 292-305, 2014
Examining the spatial–temporal dynamics of bus passenger travel behaviour using smart card data and the flow-comap
S Tao, D Rohde, J Corcoran
Journal of Transport Geography 41, 21-36, 2014
Exploring Bus Rapid Transit passenger travel behaviour using big data
S Tao, J Corcoran, I Mateo-Babiano, D Rohde
Applied geography 53, 90-104, 2014
Recogym: A reinforcement learning environment for the problem of product recommendation in online advertising
D Rohde, S Bonner, T Dunlop, F Vasile, A Karatzoglou
arXiv preprint arXiv:1808.00720, 2018
Holocene demographic changes and the emergence of complex societies in prehistoric Australia
AN Williams, S Ulm, CSM Turney, D Rohde, G White
PLoS One 10 (6), e0128661, 2015
Investigating the association between weather conditions, calendar events and socio-economic patterns with trends in fire incidence: an Australian case study
J Corcoran, G Higgs, D Rohde, P Chhetri
Journal of Geographical Systems 13 (2), 193-226, 2011
Spatial forecasting of residential urban fires: A Bayesian approach
D Rohde, J Corcoran, P Chhetri
Computers, Environment and Urban Systems 34 (1), 58-69, 2010
The association between smoke alarm presence and injury and death rates: a systematic review and meta-analysis
D Rohde, J Corcoran, M Sydes, A Higginson
Fire Safety Journal 81, 58-63, 2016
Matching of catalogues by probabilistic pattern classification
DJ Rohde, MR Gallagher, MJ Drinkwater, KA Pimbblet
Monthly Notices of the Royal Astronomical Society 369 (1), 2-14, 2006
Applying machine learning to catalogue matching in astrophysics
DJ Rohde, MJ Drinkwater, MR Gallagher, T Downs, MT Doyle
Monthly Notices of the Royal Astronomical Society 360 (1), 69-75, 2005
Joint policy-value learning for recommendation
O Jeunen, D Rohde, F Vasile, M Bompaire
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020
Semiparametric mean field variational Bayes: General principles and numerical issues
D Rohde, MP Wand
The Journal of Machine Learning Research 17 (1), 5975-6021, 2016
Blob: A probabilistic model for recommendation that combines organic and bandit signals
O Sakhi, S Bonner, D Rohde, F Vasile
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020
Using functional economic regions to model endogenous regional performance in Australia: implications for addressing the spatial autocorrelation problem*
RJ Stimson, W Mitchell, D Rohde, P Shyy
Regional Science Policy & Practice, 2011
On the value of bandit feedback for offline recommender system evaluation
O Jeunen, D Rohde, F Vasile
arXiv preprint arXiv:1907.12384, 2019
Learning from Bandit Feedback: An Overview of the State-of-the-art
O Jeunen, D Mykhaylov, D Rohde, F Vasile, A Gilotte, M Bompaire
arXiv preprint arXiv:1909.08471, 2019
Online maximum-likelihood estimation for latent factor models
D Rohde, O Cappé
2011 IEEE Statistical Signal Processing Workshop (SSP), 565-568, 2011
Replacing the do-calculus with Bayes rule
F Lattimore, D Rohde
arXiv preprint arXiv:1906.07125, 2019
Three methods for training on bandit feedback
D Mykhaylov, D Rohde, F Vasile, M Bompaire, O Jeunen
arXiv preprint arXiv:1904.10799, 2019
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