Daniel M. Roy
Daniel M. Roy
University of Toronto, Dept of Statistical Sciences; Computer Science
Verified email at utstat.toronto.edu - Homepage
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
726*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
4192004
Training generative neural networks via maximum mean discrepancy optimization
GK Dziugaite, DM Roy, Z Ghahramani
arXiv preprint arXiv:1505.03906, 2015
2782015
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
2012017
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
1812014
Mondrian forests: Efficient online random forests
B Lakshminarayanan, DM Roy, YW Teh
Advances in neural information processing systems, 3140-3148, 2014
1412014
A study of the effect of jpg compression on adversarial images
GK Dziugaite, Z Ghahramani, DM Roy
arXiv preprint arXiv:1608.00853, 2016
1332016
The Mondrian process
DM Roy, YW Teh
Adv. in Neural Inform. Processing Syst 21, 27, 2009
1292009
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
1262004
Bayesian agglomerative clustering with coalescents
YW Teh, H Daumé III, D Roy
Arxiv preprint arXiv:0907.0781, 2009
1152009
Complexity of Inference in Latent Dirichlet Allocation
D Sontag, DM Roy
114*
Probabilistically accurate program transformations
S Misailovic, D Roy, M Rinard
Static Analysis, 316-333, 2011
1042011
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
1002012
Learning annotated hierarchies from relational data
DM Roy, C Kemp, VK Mansinghka, JB Tenenbaum
Advances in neural information processing systems, 1185-1192, 2007
662007
The class of random graphs arising from exchangeable random measures
V Veitch, DM Roy
arXiv preprint arXiv:1512.03099, 2015
642015
Neural network matrix factorization
GK Dziugaite, DM Roy
arXiv preprint arXiv:1511.06443, 2015
542015
Noncomputable conditional distributions
NL Ackerman, CE Freer, DM Roy
2011 IEEE 26th Annual Symposium on Logic in Computer Science, 107-116, 2011
522011
Efficient Bayesian Task-Level Transfer Learning.
DM Roy, LP Kaelbling
IJCAI 7, 2599-2604, 2007
492007
Computable de Finetti measures
CE Freer, DM Roy
Annals of Pure and Applied Logic, 2011
42*2011
Data-dependent PAC-Bayes priors via differential privacy
GK Dziugaite, DM Roy
Advances in Neural Information Processing Systems, 8430-8441, 2018
372018
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