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David Rohde

Spatio-temporal patterns of a Public Bicycle Sharing Program: the effect of weather and calendar events
2014 · Jonathan Corcoran, Tiebei Li, et al. · Journal of Transport Geography · 270
The HIPASS catalogue — III. Optical counterparts and isolated dark galaxies
2005 · M. T. Doyle, M. J. Drinkwater, et al. · Monthly Notices of the Royal Astronomical Society · 197
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RecoGym: A Reinforcement Learning Environment for the problem of Product Recommendation in Online Advertising
2018 · Rohde, David, Bonner, Stephen, et al. · arXiv (Cornell University) · 167
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Examining the spatial–temporal dynamics of bus passenger travel behaviour using smart card data and the flow-comap
2014 · Sui Tao, David Rohde, et al. · Journal of Transport Geography · 153
Holocene Demographic Changes and the Emergence of Complex Societies in Prehistoric Australia
2015 · Alan N. Williams, Sean Ulm, et al. · PLoS ONE · 123
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Exploring Bus Rapid Transit passenger travel behaviour using big data
2014 · Sui Tao, Jonathan Corcoran, et al. · Applied Geography · 110
Investigating the association between weather conditions, calendar events and socio-economic patterns with trends in fire incidence: an Australian case study
2009 · Jonathan Corcoran, Gary Higgs, et al. · Journal of Geographical Systems · 66
Spatial forecasting of residential urban fires: A Bayesian approach
2009 · David Rohde, Jonathan Corcoran, et al. · Computers Environment and Urban Systems · 43
The association between smoke alarm presence and injury and death rates: A systematic review and meta-analysis
2016 · David Rohde, Jonathan Corcoran, et al. · Fire Safety Journal · 39
BLOB: A Probabilistic Model for Recommendation that Combines Organic and Bandit Signals
2020 · Otmane Sakhi, Stephen Bonner, et al. · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · 32
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Joint Policy-Value Learning for Recommendation
2020 · Olivier Jeunen, David Rohde, et al. · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · 27
SimuRec: Workshop on Synthetic Data and Simulation Methods for Recommender Systems Research
2021 · Michael D Ekstrand, Allison Chaney, et al. · ACM Conference on Recommender Systems (RecSys) · 23
Semiparametric mean field variational Bayes: general principles and numerical issues
2016 · David Rohde, M. P. Wand · Journal of Machine Learning Research · 20
Matching of catalogues by probabilistic pattern classification
2006 · D. J. Rohde, M. R. Gallagher, et al. · Monthly Notices of the Royal Astronomical Society · 20
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Replacing the do-calculus with Bayes rule
2019 · Lattimore, Finnian, Rohde, David · arXiv (Cornell University) · 18
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A Gentle Introduction to Recommendation as Counterfactual Policy Learning
2020 · Flavian Vasile, David Rohde, et al. · ACM Conference on User Modeling, Adaptation and Personalization (UMAP) · 16
Recommendation System-based Upper Confidence Bound for Online Advertising
2019 · Nguyen-Thanh, Nhan, Marinca, Dana, et al. · arXiv (Cornell University) · 15
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Applying machine learning to catalogue matching in astrophysics
2005 · D. J. Rohde, M. J. Drinkwater, et al. · Monthly Notices of the Royal Astronomical Society · 15
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Applying Machine Learning to Catalogue Matching in Astrophysics
2005 · D J Rohde, M J Drinkwater, et al. · 12
Using functional economic regions to model endogenous regional performance in Australia: implications for addressing the spatial autocorrelation problem
2011 · Robert J. Stimson, William Mitchell, et al. · Regional Science Policy & Practice · 11
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Learning from Bandit Feedback: An Overview of the State-of-the-art
2019 · Jeunen, Olivier, Mykhaylov, Dmytro, et al. · arXiv (Cornell University) · 9
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Bayesian Off-Policy Evaluation and Learning for Large Action Spaces
2024 · Aouali, Imad, Brunel, Victor-Emmanuel, et al. · arXiv (Cornell University) · 8
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Causal inference with Bayes rule
2019 · Lattimore, Finnian, Rohde, David · arXiv (Cornell University) · 8
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Exploiting Similarities in A/B Testing with Off-Policy Estimation
2026 · Otmane Sakhi, Alexandre Gilotte, et al. · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · 7
Probabilistic Rank and Reward: A Scalable Model for Slate Recommendation
2022 · Aouali, Imad, Hammou, Achraf Ait Sidi, et al. · arXiv (Cornell University) · 7
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Works count: 72
Citation count: 1,507
H-index: 16
I10-index: 20
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