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All publications by Frank Wood
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A Compilation Target for Probabilistic Programming Languages
Brooks Paige and Frank Wood
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Asynchronous Anytime Sequential Monte Carlo
Brooks Paige, Frank Wood, Arnaud Doucet and Yee W. Teh
Advances in Neural Information Processing Systems 27, 2014


Hierarchically-coupled hidden Markov models for learning kinetic rates from single-molecule data
Jan-willem Meent, Jonathan Bronson, Frank Wood, Ruben G. Jr. and Chris Wiggins
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Low rank continuous-space graphical models
Carl Smith, Frank Wood and Liam Paninski
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Hierarchically Supervised Latent Dirichlet Allocation
Adler J. Perotte, Frank Wood, Noemie Elhadad and Nicholas Bartlett
Advances in Neural Information Processing Systems 24, 2011


Discussion of "The Discrete Infinite Logistic Normal Distribution for Mixed-Membership Modeling"
Frank Wood
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Forgetting Counts: Constant Memory Inference for a Dependent Hierarchical Pitman-Yor Process
Nicholas Bartlett, David Pfau and Frank Wood
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Probabilistic Deterministic Infinite Automata
David Pfau, Nicholas Bartlett and Frank Wood
Advances in Neural Information Processing Systems 23, 2010


A stochastic memoizer for sequence data
Frank Wood, C├ędric Archambeau, Jan Gasthaus, Lancelot James and Yee W. Teh
Proceedings of the 26th International Conference on Machine Learning (ICML-09), 2009


A Hierarchical Nonparametric Bayesian Approach to Statistical Language Model Domain Adaptation
Frank Wood and Yee W. Teh
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS-09), 2009


Dependent Dirichlet Process Spike Sorting
Jan Gasthaus, Frank Wood, Dilan Gorur and Yee W. Teh
Advances in Neural Information Processing Systems 21, 2008


Characterizing neural dependencies with copula models
Pietro Berkes, Frank Wood and Jonathan W. Pillow
Advances in Neural Information Processing Systems 21, 2008


Particle Filtering for Nonparametric Bayesian Matrix Factorization
Frank Wood and Thomas L. Griffiths
Advances in Neural Information Processing Systems 19, 2006


Modeling Neural Population Spiking Activity with Gibbs Distributions
Frank Wood, Stefan Roth and Michael J. Black
Advances in Neural Information Processing Systems 18, 2005