Algorithms At Large: Publications
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@inproceedings{Wang:2014, title = "Bayesian Multi-Scale Optimistic Optimization", author = "Ziyu Wang and Babak Shakibi and Lin Jin and Nando de Freitas", year = "2014", booktitle = "Artificial Intelligence and Statistics (AISTATS)", pages = "1005-1014", url = "http://jmlr.org/proceedings/papers/v33/wang14d.pdf", }
@inproceedings{Mizrahi:2014, title = "Linear and Parallel Learning for Markov Random Fields", author = "Yariv Dror Mizrahi and Misha Denil and Nando de Freitas", year = "2014", booktitle = "International Conference on Machine Learning (ICML)", url = "http://www.cs.ox.ac.uk/people/nando.defreitas/publications/LAP.pdf", }
@inproceedings{Bornn:2013, title = "Herded Gibbs Sampling", author = "Luke Bornn and Yutian Chen and Nando de Freitas and Mareija Eskelin and Jing Fang and Max Welling", year = "2013", booktitle = "International Conference on Learning Representations (ICLR)", url = "http://openreview.net/document/a7ca8bba-732c-4104-83a3-1956c3b5c3a6", }
@inproceedings{Denil:2013b, title = "Consistency of Online Random Forests", author = "Misha Denil and David Matheson and Nando de Freitas", year = "2013", booktitle = "International Conference on Machine Learning (ICML)", note = "JMLR W\&CP 28 (3): 1256–1264, 2013", pages = "1256–-1264", url = "http://jmlr.org/proceedings/papers/v28/denil13.pdf", }
@inproceedings{deFreitas:2013, title = "Exponential Regret Bounds for {Gaussian} Process Bandits with Deterministic Observations", author = "Nando de Freitas and Alex Smola and Masrour Zoghi", year = "2012", booktitle = "International Conference on Machine Learning (ICML)", url = "http://icml.cc/discuss/2012/853.html", }
@article{Andrieu:2003 year={2003}, title = "An Introduction to {MCMC} for Machine Learning", author = "Andrieu, Christophe and de Freitas, Nando and Doucet, Arnaud and Jordan, Michael I.", year = "2003", issn = "0885-6125", journal = "Machine Learning", number = "1-2", pages = "5-43", publisher = "Kluwer Academic Publishers", url = "http://dx.doi.org/10.1023/A%3A1020281327116", volume = "50", doi = "10.1023/A:1020281327116", }