Wingate, David

22 publications

ICLR 2023 Leveraging Large Language Models for Multiple Choice Question Answering Joshua Robinson, David Wingate

NeurIPS 2021 Leveraging the Inductive Bias of Large Language Models for Abstract Textual Reasoning Christopher Rytting, David Wingate

NeurIPS 2020 Towards Neural Programming Interfaces Zachary Brown, Nathaniel Robinson, David Wingate, Nancy Fulda

CoRL 2017 Harvesting Common-Sense Navigational Knowledge for Robotics from Uncurated Text Corpora Nancy Fulda, Nathan Tibbetts, Zachary Brown, David Wingate

IJCAI 2017 What Can You Do with a Rock? Affordance Extraction via Word Embeddings Nancy Fulda, Daniel Ricks, Ben Murdoch, David Wingate

ICML 2014 A Physics-Based Model Prior for Object-Oriented MDPs Jonathan Scholz, Martin Levihn, Charles Isbell, David Wingate

IJCAI 2011 Bayesian Policy Search with Policy Priors David Wingate, Noah D. Goodman, Daniel M. Roy, Leslie Pack Kaelbling, Joshua B. Tenenbaum

ICML 2011 Infinite Dynamic Bayesian Networks Finale Doshi, David Wingate, Joshua B. Tenenbaum, Nicholas Roy

AISTATS 2011 Lightweight Implementations of Probabilistic Programming Languages via Transformational Compilation David Wingate, Andreas Stuhlmueller, Noah Goodman

NeurIPS 2011 Nonstandard Interpretations of Probabilistic Programs for Efficient Inference David Wingate, Noah Goodman, Andreas Stuhlmueller, Jeffrey M. Siskind

NeurIPS 2010 Nonparametric Bayesian Policy Priors for Reinforcement Learning Finale Doshi-velez, David Wingate, Nicholas Roy, Joshua B. Tenenbaum

UAI 2009 A Bayesian Sampling Approach to Exploration in Reinforcement Learning John Asmuth, Lihong Li, Michael L. Littman, Ali Nouri, David Wingate

UAI 2009 The Infinite Latent Events Model David Wingate, Noah D. Goodman, Daniel M. Roy, Joshua B. Tenenbaum

ICML 2009 Workshop Summary: Results of the 2009 Reinforcement Learning Competition David Wingate, Carlos Diuk, Lihong Li, Matthew Taylor, Jordan Frank

ICML 2008 Efficiently Learning Linear-Linear Exponential Family Predictive Representations of State David Wingate, Satinder Singh

NeurIPS 2007 Exponential Family Predictive Representations of State David Wingate, Satinder S. Baveja

IJCAI 2007 Relational Knowledge with Predictive State Representations David Wingate, Vishal Soni, Britton Wolfe, Satinder Singh

ICML 2006 Kernel Predictive Linear Gaussian Models for Nonlinear Stochastic Dynamical Systems David Wingate, Satinder Singh

AAAI 2006 Mixtures of Predictive Linear Gaussian Models for Nonlinear, Stochastic Dynamical Systems David Wingate, Satinder Singh

UAI 2005 Predictive Linear-Gaussian Models of Stochastic Dynamical Systems Matthew R. Rudary, Satinder Singh, David Wingate

JMLR 2005 Prioritization Methods for Accelerating MDP Solvers David Wingate, Kevin D. Seppi

ICML 2004 P3VI: A Partitioned, Prioritized, Parallel Value Iterator David Wingate, Kevin D. Seppi