Publications

Sodjo, J. et al. (2016) “Joint Segmentation of Multiple Images with Shared Classes: A Bayesian Nonparametrics Approach”, in. Institute of Electrical and Electronics Engineers (IEEE), pp. 1–5.

Kim, H. et al. (2016) “Collaborative Filtering with Side Information: a Gaussian Process Perspective.”

Lakshminarayanan, B., Roy, D. and Teh, Y. (2016) “Mondrian Forests for Large-Scale Regression when Uncertainty Matters”, in Proceedings of Machine Learning Research. 19th International Conference on Artificial Intelligence and Statistics, pp. 1478–1487.

Titsias, M., Holmes, C. and Yau, C. (2016) “Statistical Inference in Hidden Markov Models Using k-Segment Constraints”, Journal of the American Statistical Association, 111(513), pp. 200–215.

Ren, J. et al. (2016) “Inference of Markovian properties of molecular sequences from NGS data and applications to comparative genomics”, Bioinformatics, 32(7), pp. 993–1000.

Ley, C., Reinert, G. and Swan, Y. (2016) “Stein’s method for comparison of univariate distributions”, arXiv [Preprint].

Teh, Y., Thiery, A. and Vollmer, S. (2016) “Consistency and fluctuations for stochastic gradient Langevin dynamics”, Journal of Machine Learning Research, 17(7), pp. 1–33.

Rebeschini, P. and Tatikonda, S. (2016) “Decay of Correlation in Network Flow Problems”, in. Institute of Electrical and Electronics Engineers (IEEE), pp. 169–174.

Todeschini, A., Miscouridou, X. and Caron, F. (2016) “Exchangeable Random Measures for Sparse and Modular Graphs with Overlapping Communities”, arXiv.

Teh, Y. (2016) “Bayesian Nonparametric Modeling and the Ubiquitous Ewens Sampling Formula”, Statistical Science, 31(1), pp. 34–36.