Daniel M. Roy - Google Scholar

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Gintare Karolina DziugaiteResearch Scientist, Element AIVerified email at elementai.com
Joshua B. TenenbaumMITVerified email at mit.edu
Yee Whye TehProfessor of Statistical Machine Learning, Oxford, Research Scientist, DeepMindVerified email at stats.ox.ac.uk
Vikash K. MansinghkaMIT, Probabilistic Computing ProjectVerified email at mit.edu
martin rinardMITVerified email at lcs.mit.edu
Noah D. GoodmanStanford UniversityVerified email at stanford.edu
Cameron E. FreerResearch Scientist, MITVerified email at math.mit.edu
Balaji LakshminarayananStaff Research Scientist at Google BrainVerified email at google.com
Zoubin GhahramaniProfessor, University of Cambridge, and Chief Scientist, UberVerified email at eng.cam.ac.uk
Cristian CadarImperial College LondonVerified email at imperial.ac.uk
Nate AckermanHarvard UniversityVerified email at math.harvard.edu
K. A. BonawitzGoogleVerified email at google.com
Peter OrbanzColumbia UniversityVerified email at stat.columbia.edu
Victor VeitchColumbia UniversityVerified email at columbia.edu
James Robert LloydPhD from Machine Learning Group, Cambridge UniversityVerified email at cam.ac.uk
David SontagAssociate Professor, Massachusetts Institute of TechnologyVerified email at csail.mit.edu
Hal Daumé IIIAssociate Professor of Computer Science, University of MarylandVerified email at umiacs.umd.edu
Sasa MisailovicUniversity of Illinois at Urbana–ChampaignVerified email at illinois.edu
Leslie KaelblingVerified email at csail.mit.edu
Jonathan FrankleMassachusetts Institute of TechnologyVerified email at mit.edu

Daniel M. Roy

University of Toronto, Dept of Statistical Sciences; Computer Science

Verified email at utstat.toronto.edu - Homepage

Statistics Theoretical Computer Science Probability Machine Learning Artificial Intelligence


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Church: a language for generative models ND Goodman, VK Mansinghka, D Roy, K Bonawitz, JB Tenenbaum Uncertainty in Artificial Intelligence 22, 23, 2008	717*	2008
Enhancing server availability and security through failure-oblivious computing M Rinard, C Cadar, D Dumitran, DM Roy, T Leu, WS Beebee Jr Proceedings of the 6th conference on Symposium on Opearting Systems Design …, 2004	417	2004
Training generative neural networks via maximum mean discrepancy optimization GK Dziugaite, DM Roy, Z Ghahramani arXiv preprint arXiv:1505.03906, 2015	269	2015
Computing nonvacuous generalization bounds for deep (stochastic) neural networks with many more parameters than training data GK Dziugaite, DM Roy arXiv preprint arXiv:1703.11008, 2017	192	2017
Bayesian models of graphs, arrays and other exchangeable random structures P Orbanz, DM Roy IEEE transactions on pattern analysis and machine intelligence 37 (2), 437-461, 2014	178	2014
Mondrian forests: Efficient online random forests B Lakshminarayanan, DM Roy, YW Teh Advances in neural information processing systems, 3140-3148, 2014	138	2014
A study of the effect of jpg compression on adversarial images GK Dziugaite, Z Ghahramani, DM Roy arXiv preprint arXiv:1608.00853, 2016	129	2016
The Mondrian process DM Roy, YW Teh Adv. in Neural Inform. Processing Syst 21, 27, 2009	127	2009
A dynamic technique for eliminating buffer overflow vulnerabilities (and other memory errors) M Rinard, C Cadar, D Dumitran, DM Roy, T Leu 20th Annual Computer Security Applications Conference, 82-90, 2004	125	2004
Bayesian agglomerative clustering with coalescents YW Teh, H Daumé III, D Roy Arxiv preprint arXiv:0907.0781, 2009	115	2009
Complexity of Inference in Latent Dirichlet Allocation D Sontag, DM Roy	113*
Probabilistically accurate program transformations S Misailovic, D Roy, M Rinard Static Analysis, 316-333, 2011	104	2011
Random function priors for exchangeable arrays with applications to graphs and relational data J Lloyd, P Orbanz, Z Ghahramani, DM Roy Advances in Neural Information Processing Systems, 998-1006, 2012	99	2012
Learning annotated hierarchies from relational data DM Roy, C Kemp, VK Mansinghka, JB Tenenbaum Advances in neural information processing systems, 1185-1192, 2007	66	2007
The class of random graphs arising from exchangeable random measures V Veitch, DM Roy arXiv preprint arXiv:1512.03099, 2015	62	2015
Neural network matrix factorization GK Dziugaite, DM Roy arXiv preprint arXiv:1511.06443, 2015	52	2015
Noncomputable conditional distributions NL Ackerman, CE Freer, DM Roy 2011 IEEE 26th Annual Symposium on Logic in Computer Science, 107-116, 2011	52	2011
Efficient Bayesian Task-Level Transfer Learning. DM Roy, LP Kaelbling IJCAI 7, 2599-2604, 2007	49	2007
Computable de Finetti measures CE Freer, DM Roy Annals of Pure and Applied Logic, 2011	42*	2011
Mondrian forests for large-scale regression when uncertainty matters B Lakshminarayanan, DM Roy, YW Teh Artificial Intelligence and Statistics, 1478-1487, 2016	36	2016

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