Publications

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.

Crook, O. et al. (2018) “A Bayesian mixture modelling approach for spatial proteomics”, PLOS Computational Biology, 14(11), p. e1006516.

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.

Crook, O., Gatto, L. and Kirk, P. (2018) “Fast approximate inference for variable selection in Dirichlet process mixtures, with an application to pan-cancer proteomics”, arXiv.

Martínez-Rubio, D., Kanade, V. and Rebeschini, P. (2018) “Decentralized Cooperative Stochastic Bandits”, arXiv.

Richards, D. and Rebeschini, P. (2018) “Graph-Dependent Implicit Regularisation for Distributed Stochastic Subgradient Descent”, arXiv.

Bloem-Reddy, B. et al. (2018) “Sampling and inference for beta neutral-to-the-left models of sparse networks”, in Uncertainty in Artificial Intelligence: Proceedings of the Thirty-Fourth Conference (2018). AUAI Press, pp. 477–486.

Xu, J. and Teh, Y. (2018) “Controllable Semantic Image Inpainting.”