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Daniel M. Roy
Daniel M. Roy
Research Director, Vector Institute; Assoc. Prof., U. Toronto (Statistics, CS)
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
974*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
6682017
Training generative neural networks via maximum mean discrepancy optimization
GK Dziugaite, DM Roy, Z Ghahramani
arXiv preprint arXiv:1505.03906, 2015
5812015
A study of the effect of jpg compression on adversarial images
GK Dziugaite, Z Ghahramani, DM Roy
arXiv preprint arXiv:1608.00853, 2016
4882016
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
4752004
Linear mode connectivity and the lottery ticket hypothesis
J Frankle, GK Dziugaite, D Roy, M Carbin
International Conference on Machine Learning, 3259-3269, 2020
3632020
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
3082012
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
2832014
Mondrian forests: Efficient online random forests
B Lakshminarayanan, DM Roy, YW Teh
Advances in neural information processing systems 27, 2014
2602014
The Mondrian process
DM Roy, YW Teh
Adv. in Neural Inform. Processing Syst 21, 27, 2009
1952009
Stabilizing the lottery ticket hypothesis
J Frankle, GK Dziugaite, DM Roy, M Carbin
arXiv preprint arXiv:1903.01611, 2019
1792019
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
1662020
Neural network matrix factorization
GK Dziugaite, DM Roy
arXiv preprint arXiv:1511.06443, 2015
1582015
Complexity of Inference in Latent Dirichlet Allocation
D Sontag, DM Roy
144*
Bayesian agglomerative clustering with coalescents
YW Teh, H Daumé III, D Roy
Arxiv preprint arXiv:0907.0781, 2009
1412009
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
1392004
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
1382012
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
1242019
Data-dependent PAC-Bayes priors via differential privacy
GK Dziugaite, DM Roy
Advances in neural information processing systems 31, 2018
1242018
Deep learning versus kernel learning: an empirical study of loss landscape geometry and the time evolution of the neural tangent kernel
S Fort, GK Dziugaite, M Paul, S Kharaghani, DM Roy, S Ganguli
Advances in Neural Information Processing Systems 33, 5850-5861, 2020
1172020
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