Publications

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.

Ospina-Forero, L., Deane, C. and Reinert, G. (2018) “Assessment of model fit via network comparison methods based on subgraph counts”, Journal of Complex Networks, 7(2), pp. 226–253.

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.”

Jewson, J., Smith, J. and Holmes, C. (2018) “Principles of Bayesian inference using general divergence criteria”, Entropy, 20(6), p. 442.

Czarnecki, W. et al. (2018) “Mix&Match - Agent Curricula for Reinforcement Learning.”

Holmes, C. and Watson, J. (2018) “Machine learning for randomised controlled trials: identifying treatment effectheterogeneity with strict control of type I error”, p. 330795.

Rebeschini, P. and Tatikonda, S. (2018) “Locality in network optimization”, IEEE Transactions on Control of Network Systems, 6(2), pp. 487–500.

Brown, S. et al. (2018) “High-throughput mouse phenomics for characterizing mammalian gene function”, Nature Reviews Genetics, 19(6), pp. 357–370.