Fast, locally adaptive interference for machine learning in graphical models

Status	Finished
Effective start/end date	1/10/11 → 30/09/14

Semi-Separable Hamiltonian Monte Carlo for Inference in Bayesian Hierarchical Models
Zhang, Y. & Sutton, C., 2014, Advances in Neural Information Processing Systems 27. Ghahramani, Z., Welling, M., Cortes, C., Lawrence, N. D. & Weinberger, K. Q. (eds.). Curran Associates Inc, p. 10-18 9 p.
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Open Access
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Word Storms: Multiples of Word Clouds for Visual Comparison of Documents
Castella, Q. & Sutton, C. A., 2014, Proceedings of the 23rd international conference on World wide web. International World Wide Web Conferences Steering Committee, p. 665-676 12 p.
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

File
Continuous Relaxations for Discrete Hamiltonian Monte Carlo
Zhang, Y., Sutton, C. A., Storkey, A. J. & Ghahramani, Z., 2012, Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012, Lake Tahoe, Nevada, United States. MIT Press, p. 3203-3211 9 p.
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Open Access
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Project Details