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All publications by Daniel M. Roy
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Mondrian Forests: Efficient Online Random Forests
Balaji Lakshminarayanan, Daniel M. Roy and Yee W. Teh
Advances in Neural Information Processing Systems 27, 2014


Random function priors for exchangeable arrays with applications to graphs and relational data
James Lloyd, Peter Orbanz, Zoubin Ghahramani and Daniel M. Roy
Advances in Neural Information Processing Systems 25, 2012


Posterior distributions are computable from predictive distributions
Cameron E. Freer and Daniel M. Roy
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics (AISTATS-10), 2010


Exact and Approximate Sampling by Systematic Stochastic Search
Vikash K. Mansinghka, Daniel M. Roy, Eric Jonas and Joshua B. Tenenbaum
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS-09), 2009


The Mondrian Process
Daniel M. Roy and Yee W. Teh
Advances in Neural Information Processing Systems 21, 2008


AClass: A simple, online, parallelizable algorithm for probabilistic classification
Vikash K. Mansinghka, Daniel M. Roy, Ryan Rifkin and Joshua B. Tenenbaum
Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics (AISTATS-07), 2007


Learning annotated hierarchies from relational data
Daniel M. Roy, Charles Kemp, Vikash K. Mansinghka and Joshua B. Tenenbaum
Advances in Neural Information Processing Systems 19, 2006