Ideas for 2008 — tentative
Please email your suggestions to dilan (at) gatsby.ucl.ac.uk to be added to the list of future topics.
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convex optimisation
comparing Bayesian and non-Bayesian machine learning methods
expectation propagation
survival analysis and the beta process
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recent matrix factorisation papers; e.g. by Salakhutdinov and Minh
covariance operators in Hilbert spaces; e.g. by Fukumizu, Bach, Gretton
some recent SMC and MCMC works; e.g. by Doucet, Fearnhead, Jun Liu
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population genetics
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random decision trees
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graph limits
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exchangeable matrices
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Sparse Optimisation and Variable Selection (some references)
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Bayesian Break Point Detection (some references)
- Ruslan Salakhutdinov and Andriy Mnih, Bayesian Probabilistic Matrix Factorization using MCMC, ICML 2008
- J.F.C. Kingman Random Discrete Distributions Journal of the Royal Statistical Society. Series B (Methodological), Vol. 37, No. 1. (1975), pp. 1-22.
- J. Beirlant E. J. Dudewicz L. Gyorfi E. C. van der Meulen, Nonparametric entropy estimation: an overview INTERNATIONAL JOURNAL OF MATHEMATICAL AND STATISTICAL SCIENCES 1997, VOL 6; NUMB 1, pages 17-40
- Costa, J.A. Hero, A.O.Geodesic entropic graphs for dimension and entropy estimation in manifold learning, (IEEE link)
- Gretton, A., K. Fukumizu, C. H. Teo, L. Song, B. Schoelkopf and A. J. Smola A Kernel Statistical Test of Independence. NIPS 2007
- Fukumizu, K., A. Gretton, X. Sun and B. Schoelkopf, Kernel Measures of Conditional Dependence. NIPS 2007
- Fukumizu, K., F. R. Bach and A. Gretton, Statistical Consistency of Kernel Canonical Correlation Analysis. Journal of Machine Learning Research 8, 361-383 (02 2007)
- Fukumizu, F. R. Bach, and M. I. Jordan, Kernel dimension reduction in regression. Annals of Statistics, to appear, 2008
- M. J. Wainwright, T. Jaakkola, and A. S. Willsky. Map estimation via agreement on trees: message-passing and linear programming. IEEE Trans. on Information Theory, 51(11):1120-1146, 2005.
- V. Kolmogorov. Convergent tree-reweighted message passing for energy minimization. IEEE Transactions on Pattern Analysis and Machine Intelligence, 28(10):1568-1583, 2006.
- A. Globerson and T. Jaakkola. Convergent propagation algorithms via oriented trees. UAI 2007.
- Y. Weiss, C. Yanover, and T. Meltzer. Map estimation, linear programming and belief propagation with convex free energies. UAI 2007.
- A. Globerson and T. Jaakkola, Fixing max-product: Convergent message passing algorithms for map lp-relaxations. NIPS 2007
- D. Sontag, T. Meltzer, A. Globerson, T. Jaakkola, and Y. Weiss, Tightening lp relaxations for map using message passing. UAI 2008
- F. Caron, R. Gottardo, A. Doucet, On-line Changepoint Detection and Parameter Estimation for Genome-wide Transcript Analysis. Technical Report #236, Dept of Statistics, University of British Columbia, Nov. 2007
- F. Bach, Exploring Large Feature Spaces with Hierarchical Multiple Kernel Learning. NIPS 2008
A list of papers in the pipeline