David Wingate
TitleCited byYear
A Bayesian sampling approach to exploration in reinforcement learning
J Asmuth, L Li, ML Littman, A Nouri, D Wingate
Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial …, 2009
Lightweight implementations of probabilistic programming languages via transformational compilation
D Wingate, A Stuhlmüller, N Goodman
Proceedings of the Fourteenth International Conference on Artificial …, 2011
Prioritization methods for accelerating MDP solvers
D Wingate, KD Seppi
Journal of Machine Learning Research 6 (May), 851-881, 2005
Automated variational inference in probabilistic programming
D Wingate, T Weber
arXiv preprint arXiv:1301.1299, 2013
Acoustic source tracking and selection
D Wingate, ND Stein, B Vigoda, P Ohiomoba, B Donnelly
US Patent App. 14/847,818, 2016
A physics-based model prior for object-oriented mdps
J Scholz, M Levihn, C Isbell, D Wingate
International Conference on Machine Learning, 1089-1097, 2014
Nonstandard interpretations of probabilistic programs for efficient inference
D Wingate, N Goodman, A Stuhlmüller, JM Siskind
Advances in Neural Information Processing Systems, 1152-1160, 2011
Nonparametric Bayesian policy priors for reinforcement learning
F Doshi-Velez, D Wingate, N Roy, JB Tenenbaum
Advances in Neural Information Processing Systems, 532-540, 2010
Infinite dynamic Bayesian networks
F Doshi-Velez, D Wingate, J Tenenbaum, N Roy
International Machine Learning Society, 2011
What can you do with a rock? affordance extraction via word embeddings
N Fulda, D Ricks, B Murdoch, D Wingate
arXiv preprint arXiv:1703.03429, 2017
Smartlocks: lock acquisition scheduling for self-aware synchronization
J Eastep, D Wingate, MD Santambrogio, A Agarwal
Proceedings of the 7th international conference on Autonomic computing, 215-224, 2010
Kernel predictive linear Gaussian models for nonlinear stochastic dynamical systems
D Wingate, S Singh
Proceedings of the 23rd international conference on Machine learning, 1017-1024, 2006
Predictive linear-Gaussian models of stochastic dynamical systems
M Rudary, S Singh, D Wingate
arXiv preprint arXiv:1207.1416, 2012
Bayesian policy search with policy priors
D Wingate, ND Goodman, DM Roy, LP Kaelbling, JB Tenenbaum
Twenty-Second International Joint Conference on Artificial Intelligence, 2011
P3VI: A partitioned, prioritized, parallel value iterator
D Wingate, KD Seppi
Proceedings of the twenty-first international conference on Machine learning …, 2004
Smart data structures: an online machine learning approach to multicore data structures
J Eastep, D Wingate, A Agarwal
Proceedings of the 8th ACM international conference on Autonomic computing …, 2011
On discovery and learning of models with predictive representations of state for agents with continuous actions and observations
D Wingate, S Singh
Proceedings of the 6th international joint conference on Autonomous agents …, 2007
Signal source separation
D Wingate, N Stein
US Patent 9,460,732, 2016
Exponential family predictive representations of state
D Wingate, SS Baveja
Advances in Neural Information Processing Systems, 1617-1624, 2008
Smartlocks: Self-aware synchronization through lock acquisition scheduling
J Eastep, D Wingate, MD Santambrogio, A Agarwal
Workshop on Statistical and Machine learning approaches to ARchitectures and …, 2010
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Articles 1–20