Daniel M. Roy

Cited by

	All	Since 2018
Citations	7685	5433
h-index	39	31
i10-index	70	61

1300

650

325

975

200520062007200820092010201120122013201420152016201720182019202020212022202349 49 57 57 84 85 139 147 178 249 286 399 398 543 637 855 1127 1260 1007

Public access

View all

35 articles

0 articles

available

not available

Based on funding mandates

Co-authors

Gintare Karolina DziugaiteGoogle DeepMindVerified email at google.com
Joshua B. TenenbaumMITVerified email at mit.edu
Vikash K. MansinghkaMIT, Probabilistic Computing ProjectVerified email at mit.edu
Yee Whye TehProfessor of Statistical Machine Learning, Oxford, Research Scientist, DeepMindVerified email at stats.ox.ac.uk
Zoubin GhahramaniProfessor, University of Cambridge, and Distinguished Researcher, GoogleVerified email at eng.cam.ac.uk
martin rinardMITVerified email at lcs.mit.edu
Noah D. GoodmanStanford UniversityVerified email at stanford.edu
Cameron E. FreerResearch Scientist, MIT and Project Associate Professor, Keio UniversityVerified email at mit.edu
Jonathan FrankleMassachusetts Institute of TechnologyVerified email at mit.edu
Michael CarbinMassachusetts Institute of TechnologyVerified email at csail.mit.edu
Mahdi HaghifamPh.D. Candidate, University of TorontoVerified email at mail.utoronto.ca
Jeffrey NegreaUniversity of WaterlooVerified email at uwaterloo.ca
Cristian CadarImperial College LondonVerified email at imperial.ac.uk
Nate AckermanHarvard UniversityVerified email at math.harvard.edu
Balaji LakshminarayananSenior Staff Research Scientist at Google BrainVerified email at google.com
Kallista A. BonawitzGoogleVerified email at google.com
Peter OrbanzColumbia UniversityVerified email at stat.columbia.edu
Tudor LeuVerified email at google.com
Victor VeitchUniversity of Chicago, GoogleVerified email at uchicago.edu
Blair BilodeauMember of Research Staff, The Voleon GroupVerified email at mail.utoronto.ca

Daniel M. Roy

University of Toronto, Dept of Statistical Sciences; Computer Science

Verified email at utoronto.ca - Homepage

Statistics Theoretical Computer Science Probability Machine Learning Artificial Intelligence


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Church: a language for generative models ND Goodman, VK Mansinghka, D Roy, K Bonawitz, JB Tenenbaum Uncertainty in Artificial Intelligence 22, 23, 2008	959*	2008
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	634	2017
Training generative neural networks via maximum mean discrepancy optimization GK Dziugaite, DM Roy, Z Ghahramani arXiv preprint arXiv:1505.03906, 2015	559	2015
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	474	2004
A study of the effect of jpg compression on adversarial images GK Dziugaite, Z Ghahramani, DM Roy arXiv preprint arXiv:1608.00853, 2016	463	2016
Linear mode connectivity and the lottery ticket hypothesis J Frankle, GK Dziugaite, D Roy, M Carbin International Conference on Machine Learning, 3259-3269, 2020	311	2020
A short introduction to probabilistic soft logic A Kimmig, S Bach, M Broecheler, B Huang, L Getoor Proceedings of the NIPS workshop on probabilistic programming: foundations …, 2012	301	2012
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	279	2014
Mondrian forests: Efficient online random forests B Lakshminarayanan, DM Roy, YW Teh Advances in neural information processing systems 27, 2014	255	2014
The Mondrian process DM Roy, YW Teh Adv. in Neural Inform. Processing Syst 21, 27, 2009	193	2009
Stabilizing the lottery ticket hypothesis J Frankle, GK Dziugaite, DM Roy, M Carbin arXiv preprint arXiv:1903.01611, 2019	174	2019
Neural network matrix factorization GK Dziugaite, DM Roy arXiv preprint arXiv:1511.06443, 2015	156	2015
Pruning neural networks at initialization: Why are we missing the mark? J Frankle, GK Dziugaite, DM Roy, M Carbin arXiv preprint arXiv:2009.08576, 2020	149	2020
Complexity of Inference in Latent Dirichlet Allocation D Sontag, DM Roy	141*
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, 2012	138	2012
Bayesian agglomerative clustering with coalescents YW Teh, H Daumé III, D Roy Arxiv preprint arXiv:0907.0781, 2009	137	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	137	2004
Probabilistically accurate program transformations S Misailovic, D Roy, M Rinard Static Analysis, 316-333, 2011	115	2011
Data-dependent PAC-Bayes priors via differential privacy GK Dziugaite, DM Roy Advances in neural information processing systems 31, 2018	113	2018
Information-theoretic generalization bounds for SGLD via data-dependent estimates J Negrea, M Haghifam, GK Dziugaite, A Khisti, DM Roy Advances in Neural Information Processing Systems 32, 2019	112	2019

The system can't perform the operation now. Try again later.

Articles 1–20

Citations per year

Duplicate citations

Merged citations

Add co-authorsCo-authors

Follow

Cited by

Co-authors