David Wingate
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Lightweight implementations of probabilistic programming languages via transformational compilation
D Wingate, A Stuhlmüller, N Goodman
Proceedings of the Fourteenth International Conference on Artificial …, 2011
A Bayesian sampling approach to exploration in reinforcement learning
J Asmuth, L Li, ML Littman, A Nouri, D Wingate
arXiv preprint arXiv:1205.2664, 2012
Automated variational inference in probabilistic programming
D Wingate, T Weber
arXiv preprint arXiv:1301.1299, 2013
Prioritization Methods for Accelerating MDP Solvers.
D Wingate, KD Seppi, S Mahadevan
Journal of Machine Learning Research 6 (5), 2005
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
Acoustic source tracking and selection
D Wingate, ND Stein, B Vigoda, P Ohiomoba, B Donnelly
US Patent App. 14/847,818, 2016
Learning nonlinear dynamic models of soft robots for model predictive control with neural networks
MT Gillespie, CM Best, EC Townsend, D Wingate, MD Killpack
2018 IEEE International Conference on Soft Robotics (RoboSoft), 39-45, 2018
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
Machine-learned multi-system surrogate models for materials prediction
C Nyshadham, M Rupp, B Bekker, AV Shapeev, T Mueller, ...
npj Computational Materials 5 (1), 1-6, 2019
Nonparametric Bayesian policy priors for reinforcement learning
F Doshi-Velez, D Wingate, N Roy, J Tenenbaum
Neural Information Processing Systems Foundation, 2010
Infinite dynamic Bayesian networks
F Doshi, D Wingate, JB Tenenbaum, N Roy
ICML, 2011
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
Nonstandard Interpretations of Probabilistic Programs for Efficient Inference.
D Wingate, ND Goodman, A Stuhlmüller, JM Siskind
NIPS, 1152-1160, 2011
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
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
Apparatus, systems, and methods for providing intelligent vehicular systems and services
D Wingate, H Weinberg, B Vigoda
US Patent App. 15/121,435, 2016
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
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
Model-based control of soft actuators using learned non-linear discrete-time models
P Hyatt, D Wingate, MD Killpack
Frontiers in Robotics and AI 6, 22, 2019
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