Author pages are created from data sourced from our academic publisher partnerships and public sources.
- Publications
- Influence
Church: a language for generative models
- Noah D. Goodman, Vikash K. Mansinghka, Daniel M. Roy, Keith Bonawitz, J. Tenenbaum
- Computer Science
- UAI
- 9 July 2008
TLDR
Training generative neural networks via Maximum Mean Discrepancy optimization
- G. Dziugaite, Daniel M. Roy, Zoubin Ghahramani
- Computer Science, Mathematics
- UAI
- 14 May 2015
TLDR
Computing Nonvacuous Generalization Bounds for Deep (Stochastic) Neural Networks with Many More Parameters than Training Data
- G. Dziugaite, Daniel M. Roy
- Computer Science, Mathematics
- UAI
- 31 March 2017
TLDR
The Mondrian Process
- Daniel M. Roy, Y. Teh
- Computer Science
- NIPS
- 8 December 2008
TLDR
Enhancing Server Availability and Security Through Failure-Oblivious Computing
- M. Rinard, Cristian Cadar, Daniel Dumitran, Daniel M. Roy, Tudor Leu, William S. Beebee
- Computer Science
- OSDI
- 6 December 2004
TLDR
Mondrian Forests: Efficient Online Random Forests
- Balaji Lakshminarayanan, Daniel M. Roy, Y. Teh
- Computer Science, Mathematics
- NIPS
- 10 June 2014
TLDR
A study of the effect of JPG compression on adversarial images
- G. Dziugaite, Zoubin Ghahramani, Daniel M. Roy
- Computer Science
- ArXiv
- 2 August 2016
TLDR
Neural Network Matrix Factorization
- G. Dziugaite, Daniel M. Roy
- Mathematics, Computer Science
- ArXiv
- 19 November 2015
TLDR
Random function priors for exchangeable arrays with applications to graphs and relational data
- J. R. Lloyd, Peter Orbanz, Zoubin Ghahramani, Daniel M. Roy
- Mathematics, Computer Science
- NIPS
- 3 December 2012
TLDR
Stabilizing the Lottery Ticket Hypothesis
- Jonathan Frankle, G. Dziugaite, Daniel M. Roy, Michael Carbin
- Computer Science, Mathematics
- 5 March 2019
TLDR