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All publications by David Wingate
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**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 Stuhlmüller* 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