Search Machine Learning Repository:
All publications by David Wingate
authors venues years



A Physics-Based Model Prior for Object-Oriented MDPs
Jonathan Scholz, Martin Levihn, Charles Isbell and David Wingate
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Nonstandard Interpretations of Probabilistic Programs for Efficient Inference
David Wingate, Noah Goodman, Andreas Stuhlmueller and Jeffrey M. Siskind
Advances in Neural Information Processing Systems 24, 2011


Infinite Dynamic Bayesian Networks
Finale Doshi, David Wingate, Josh Tenenbaum and Nicholas Roy
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Lightweight Implementations of Probabilistic Programming Languages Via Transformational Compilation
David Wingate, Andreas Stuhlm├╝ller and Noah D. Goodman
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Nonparametric Bayesian Policy Priors for Reinforcement Learning
Finale Doshi-velez, David Wingate, Nicholas Roy and Joshua B. Tenenbaum
Advances in Neural Information Processing Systems 23, 2010


Workshop summary: Results of the 2009 reinforcement learning competition
David Wingate, Carlos Diuk, Lihong Li, Matthew Taylor and Jordan Frank
Proceedings of the 26th International Conference on Machine Learning (ICML-09), 2009


Efficiently learning linear-linear exponential family predictive representations of state
David Wingate and Satinder P. Singh
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Exponential Family Predictive Representations of State
David Wingate and Satinder S. Baveja
Advances in Neural Information Processing Systems 20, 2007


Kernel Predictive Linear Gaussian models for nonlinear stochastic dynamical systems
David Wingate and Satinder P. Singh
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Prioritization Methods for Accelerating MDP Solvers
David Wingate and Kevin D. Seppi
Journal of Machine Learning Research, 2005


P3VI: a partitioned, prioritized, parallel value iterator
David Wingate and Kevin D. Seppi
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004