Daniel M. Roy

University of Cambridge, Department of Engineering

	2013
i5		Balaji Lakshminarayanan, Daniel M. Roy, Yee Whye Teh: Top-down particle filtering for Bayesian decision trees. CoRR abs/1303.0561 (2013)
	2012
j4		Cameron E. Freer, Daniel M. Roy: Computable de Finetti measures. Ann. Pure Appl. Logic 163(5): 530-546 (2012)
c13		James Robert Lloyd, Peter Orbanz, Zoubin Ghahramani, Daniel M. Roy: Random function priors for exchangeable arrays with applications to graphs and relational data. NIPS 2012: 1007-1015
i4		David Wingate, Noah D. Goodman, Daniel M. Roy, Joshua B. Tenenbaum: The Infinite Latent Events Model. CoRR abs/1205.2604 (2012)
i3		Noah D. Goodman, Vikash K. Mansinghka, Daniel M. Roy, Keith Bonawitz, Daniel Tarlow: Church: a language for generative models. CoRR abs/1206.3255 (2012)
i2		Cameron E. Freer, Daniel M. Roy, Joshua B. Tenenbaum: Towards common-sense reasoning via conditional simulation: legacies of Turing in Artificial Intelligence. CoRR abs/1212.4799 (2012)
	2011
c12		David Wingate, Noah D. Goodman, Daniel M. Roy, Leslie Pack Kaelbling, Joshua B. Tenenbaum: Bayesian Policy Search with Policy Priors. IJCAI 2011: 1565-1570
c11		Nathanael Leedom Ackerman, Cameron E. Freer, Daniel M. Roy: Noncomputable Conditional Distributions. LICS 2011: 107-116
c10		Sasa Misailovic, Daniel M. Roy, Martin C. Rinard: Probabilistically Accurate Program Transformations. SAS 2011: 316-333
	2010
j3		Cameron E. Freer, Daniel M. Roy: Posterior distributions are computable from predictive distributions. Journal of Machine Learning Research - Proceedings Track 9: 233-240 (2010)
	2009
j2		Vikash K. Mansinghka, Daniel M. Roy, Eric Jonas, Joshua B. Tenenbaum: Exact and Approximate Sampling by Systematic Stochastic Search. Journal of Machine Learning Research - Proceedings Track 5: 400-407 (2009)
c9		Cameron E. Freer, Daniel M. Roy: Computable Exchangeable Sequences Have Computable de Finetti Measures. CiE 2009: 218-231
c8		David Wingate, Noah D. Goodman, Daniel M. Roy, Joshua B. Tenenbaum: The Infinite Latent Events Model. UAI 2009: 607-614
i1		Cameron E. Freer, Daniel M. Roy: Computable de Finetti measures. CoRR abs/0912.1072 (2009)
	2008
c7		Daniel M. Roy, Yee Whye Teh: The Mondrian Process. NIPS 2008: 1377-1384
c6		Noah D. Goodman, Vikash K. Mansinghka, Daniel M. Roy, Keith Bonawitz, Joshua B. Tenenbaum: Church: a language for generative models. UAI 2008: 220-229
	2007
j1		Vikash K. Mansinghka, Daniel M. Roy, Ryan Rifkin, Joshua B. Tenenbaum: AClass: A simple, online, parallelizable algorithm for probabilistic classification. Journal of Machine Learning Research - Proceedings Track 2: 315-322 (2007)
c5		Daniel M. Roy, Leslie Pack Kaelbling: Efficient Bayesian Task-Level Transfer Learning. IJCAI 2007: 2599-2604
c4		Yee Whye Teh, Hal Daumé III, Daniel M. Roy: Bayesian Agglomerative Clustering with Coalescents. NIPS 2007
	2006
c3		Daniel M. Roy, Charles Kemp, Vikash K. Mansinghka, Joshua B. Tenenbaum: Learning annotated hierarchies from relational data. NIPS 2006: 1185-1192
	2004
c2		Martin C. Rinard, Cristian Cadar, Daniel Dumitran, Daniel M. Roy, Tudor Leu: A Dynamic Technique for Eliminating Buffer Overflow Vulnerabilities (and Other Memory Errors). ACSAC 2004: 82-90
c1		Martin C. Rinard, Cristian Cadar, Daniel Dumitran, Daniel M. Roy, Tudor Leu, William S. Beebee: Enhancing Server Availability and Security Through Failure-Oblivious Computing. OSDI 2004: 303-316
	1999
b1		Loïc Briand, Daniel M. Roy: Meeting deadlines in hard real-time systems - the rate monotonic approach. IEEE 1999, isbn 978-0-8186-7406-8, pp. I-XVI, 1-253

Coauthor Index

Colors in the list of coauthors

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