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Daniel M. Roy
Daniel M. Roy
University of Toronto, Dept of Statistical Sciences; Computer Science
Verified email at utoronto.ca - 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
900*2008
Training generative neural networks via maximum mean discrepancy optimization
GK Dziugaite, DM Roy, Z Ghahramani
arXiv preprint arXiv:1505.03906, 2015
4602015
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
4572004
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
4472017
A study of the effect of jpg compression on adversarial images
GK Dziugaite, Z Ghahramani, DM Roy
arXiv preprint arXiv:1608.00853, 2016
3352016
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
2402014
Mondrian forests: Efficient online random forests
B Lakshminarayanan, DM Roy, YW Teh
Advances in neural information processing systems 27, 2014
2212014
The Mondrian process
DM Roy, YW Teh
Adv. in Neural Inform. Processing Syst 21, 27, 2009
1782009
Linear mode connectivity and the lottery ticket hypothesis
J Frankle, GK Dziugaite, D Roy, M Carbin
International Conference on Machine Learning, 3259-3269, 2020
1502020
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
1312004
Complexity of Inference in Latent Dirichlet Allocation
D Sontag, DM Roy
130*
Bayesian agglomerative clustering with coalescents
YW Teh, H Daumé III, D Roy
Arxiv preprint arXiv:0907.0781, 2009
1292009
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
1242012
Neural network matrix factorization
GK Dziugaite, DM Roy
arXiv preprint arXiv:1511.06443, 2015
1222015
Probabilistically accurate program transformations
S Misailovic, D Roy, M Rinard
Static Analysis, 316-333, 2011
1102011
Stabilizing the lottery ticket hypothesis
J Frankle, GK Dziugaite, DM Roy, M Carbin
arXiv preprint arXiv:1903.01611, 2019
1022019
The class of random graphs arising from exchangeable random measures
V Veitch, DM Roy
arXiv preprint arXiv:1512.03099, 2015
942015
Data-dependent PAC-Bayes priors via differential privacy
GK Dziugaite, DM Roy
Advances in neural information processing systems 31, 2018
822018
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
772020
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
742019
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