Particle Gibbs with Ancestor Resampling for Probabilistic Programs. Campbell worked briefly [clarification needed] at the University of Bradford before moving to the Physical and Theoretical Chemistry Laboratory at the University of Oxford in South Parks Road, Oxford, in 1967, to work with the chemist Sir Rex Richards. In Staton, S., Yang, H., Heunen, C., Kammar, O., & Wood, F. (2016).
Output-Sensitive Adaptive Metropolis-Hastings for Probabilistic Programs. Automatic Sampler Discovery via Probabilistic Programming and Approximate Bayesian Computation. Doshi-Velez, F., Pfau, D., Wood, F., & Roy, N. (2013). In van de Meent, J. W., Bronson, J. E., Jr., R. L. G., Wood, F., & Wiggins, C. H. (2013).
An Interface for Black Box Learning in Probabilistic Programs. Automatic Spike Sorting for Neural Decoding. A Stochastic Memoizer for Sequence Data .
(2004). In Paige, B., & Wood, F. (2014). In Neiswanger, W., Wood, F., & Xing, E. (2014). On the Variability of Manual Spike Sorting.
In Wood, F. (2011). Modeling neural population spiking activity with Gibbs distributions.
Bayesian Optimization for Probabilistic Programs. He began college at the University of Illinois at Chicago (UIC) but transferred and received a B.S. In Inferring Attentional State and Kinematics from Motor Cortical Firing Rates. AGI-15 Keynote by Frank Wood - Probabilistic Programming AGI Society. Inference in Hidden Markov Models with Explicit State Duration Distributions. Perov, Y. N., Le, T. A., & Wood, F. (2015). Anglican - A Probabilistic Programming System. A Hierarchical, Hierarchical Pitman Yor Process Language Model. In van de Meent, J. W., Tolpin, D., Paige, B., & Wood, F. (2016). He started his career working at both the Cornell Theory Center and subsequently the Lawrence Berkeley National Laboratory.Caron, F., Neiswanger, W., Wood, F., Doucet, A. and Davy, M. (2016) ‘Generalized Pólya urn for time-varying Pitman-Yor processes’,Paige, B. and Wood, F. (2016) ‘Inference networks for Sequential Monte Carlo in graphical models’.Perotte, A., Pivovarov, R., Natarajan, K., Weiskopf, N., Wood, F. and Elhadad, N. (2014) ‘Diagnosis code assignment: Models and evaluation metrics’, (2005). Asynchronous Anytime Sequential Monte Carlo. Paige, B., & Wood, F. (2016). The Sequence Memoizer. ), . Optimizing Neuron Generation Model Parameters for Top-Down Segmentation Regularization. In Paige, T. B., & and Wood, F. (2015). In van de Meent, J. W., Yang, H., Mansinghka, V., & Wood, F. (2014). In Perov, Y., Le, T.-A., & Wood, F. (2015). In Perov, Y. N., & Wood, F. (2014). Wood, F., & Black, M. J. Nonparametric Bayesian Models for Unsupervised Activity Recognition and Tracking.
Frank Wood, Associate Professor, (Information) Engineering, Oxford Dr. Wood is an associate professor in the Department of Engineering Science at the University of Oxford. In Berkes, P., Pillow, J. W., & Wood, F. (2009). Perspective Inference for Eye-to-Eye Videoconferencing: Empirical Evaluation Tools and Data. Wood, F., & Perotte, A. In Gasthaus, J., Wood, F., & Teh, Y. W. (2010). to Time Warner and serving as CEO of Interfolio. Black-Box Policy Search with Probabilistic Programs. Bayesian Nonparametric Methods for Partially-Observable Reinforcement Learning. in Computer Science from Cornell University (1996). University of British Columbia. A New Approach to Probabilistic Programming Inference. 95-year-old Woods is featured alongside Menendez and the members of Avenged Sevenfold during a music video for the song Carry On, which is played after the credits of Call of Duty: Black Ops II. Rainforth, T., Naesseth, C. A., Lindsten, F., Paige, B., van de Meent, J.-W., Doucet, A., & Wood, F. (2016). Arnaud Doucet Professor of Statistics, University of Oxford & Research Scientist, ... Frank Wood. Data-driven Sequential Monte Carlo in Probabilistic Programming. In Wood, F., Roth, S., & Black, M. J.
In Elsner, M., Goldwater, S., Feldman, N., & Wood, F. (2013). In Tolpin, D., & Wood, F. (2015). (2008). Characterizing neural dependencies with Poisson copula models.