Daniel M. Roy

Cited by

	All	Since 2016
Citations	4265	2865
h-index	26	23
i10-index	49	44

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2005200620072008200920102011201220132014201520162017201820192020202145 46 59 54 91 89 136 151 172 225 265 382 375 522 617 837 122

Co-authors

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
Zoubin GhahramaniProfessor, University of Cambridge, and Distinguished Researcher, GoogleVerified email at eng.cam.ac.uk
Balaji LakshminarayananStaff Research Scientist at Google BrainVerified email at google.com
Cristian CadarImperial College LondonVerified email at imperial.ac.uk
Nate AckermanHarvard UniversityVerified email at math.harvard.edu
Kallista A. BonawitzGoogleVerified email at google.com
Peter OrbanzColumbia UniversityVerified email at stat.columbia.edu
Victor VeitchGoogle, University of ChicagoVerified email at google.com
Jonathan FrankleMassachusetts Institute of TechnologyVerified email at mit.edu
Michael CarbinMassachusetts Institute of TechnologyVerified email at csail.mit.edu
Hal Daumé IIIAssociate Professor of Computer Science, University of MarylandVerified email at umiacs.umd.edu
James Robert LloydPhD from Machine Learning Group, Cambridge UniversityVerified email at cam.ac.uk
Jeffrey NegreaUniversity of TorontoVerified email at utstat.toronto.edu
David SontagAssociate Professor, Massachusetts Institute of TechnologyVerified email at csail.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	818*	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	440	2004
Training generative neural networks via maximum mean discrepancy optimization GK Dziugaite, DM Roy, Z Ghahramani arXiv preprint arXiv:1505.03906, 2015	328	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	270	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	210	2014
A study of the effect of jpg compression on adversarial images GK Dziugaite, Z Ghahramani, DM Roy arXiv preprint arXiv:1608.00853, 2016	189	2016
Mondrian forests: Efficient online random forests B Lakshminarayanan, DM Roy, YW Teh arXiv preprint arXiv:1406.2673, 2014	174	2014
The Mondrian process DM Roy, YW Teh Adv. in Neural Inform. Processing Syst 21, 27, 2009	146	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	130	2004
Complexity of Inference in Latent Dirichlet Allocation D Sontag, DM Roy	123*
Bayesian agglomerative clustering with coalescents YW Teh, H Daumé III, D Roy Arxiv preprint arXiv:0907.0781, 2009	121	2009
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 25, 998-1006, 2012	116	2012
Probabilistically accurate program transformations S Misailovic, D Roy, M Rinard Static Analysis, 316-333, 2011	113	2011
Neural network matrix factorization GK Dziugaite, DM Roy arXiv preprint arXiv:1511.06443, 2015	77	2015
The class of random graphs arising from exchangeable random measures V Veitch, DM Roy arXiv preprint arXiv:1512.03099, 2015	76	2015
Learning annotated hierarchies from relational data DM Roy, C Kemp, V Mansinghka, J B Tenenbaum Carnegie Mellon University, 2007	68	2007
Efficient Bayesian Task-Level Transfer Learning. DM Roy, LP Kaelbling IJCAI 7, 2599-2604, 2007	53	2007
Data-dependent PAC-Bayes priors via differential privacy GK Dziugaite, DM Roy arXiv preprint arXiv:1802.09583, 2018	52	2018
Noncomputable conditional distributions NL Ackerman, CE Freer, DM Roy 2011 IEEE 26th Annual Symposium on Logic in Computer Science, 107-116, 2011	52	2011
Computable de Finetti measures CE Freer, DM Roy Annals of Pure and Applied Logic, 2011	44*	2011

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