Publications

Maddison, C., Mnih, A. and Teh, Y. (2019) “The concrete distribution: A continuous relaxation of discrete random variables”, in 5th International Conference on Learning Representations, ICLR 2017 - Conference Track Proceedings.

Mitrovic, J., Sejdinovic, D. and Teh, Y. (2018) “Causal inference via Kernel deviance measures”, in Advances in Neural Information Processing Systems. Massachusetts Institute of Technology Press.

Ernst, M., Reinert, G. and Swan, Y. (2018) “Stein-type covariance identities: Klaassen, Papathanasiou and Olkin-Shepp type bounds for arbitrary target distributions”, JournalName [Preprint].

Doherty, A. et al. (2018) “GWAS identifies 14 loci for device-measured physical activity and sleep duration”, Nature Communications, 9.

Xu, X. and Reinert, G. (2018) “Triad-based comparison and signatures of directed networks”, in Studies in Computational Intelligence. Springer, pp. 590–602.

Chen, J. et al. (2018) “Stochastic expectation maximization with variance reduction”, in Neural Information Processing Systems. Massachusetts Institute of Technology Press.

Miscouridou, X., Caron, F. and Teh, Y. (2018) “Modelling sparsity, heterogeneity, reciprocity and community structure in temporal interaction data”, in Advances in Neural Information Processing Systems 31 (NIPS 2018) pre-proceedings. Neural Information Processing Systems Foundation.

Galashov, A. et al. (2018) “Information asymmetry in KL-regularized RL.”

Wang, Z. et al. (2018) “Transcriptome Deconvolution of Heterogeneous Tumor Samples with Immune Infiltration”, iScience, 9, pp. 451–460.