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Publications

Foster, A. et al. (2019) “Variational Bayesian optimal experimental design”, in Advances in Neural Information Processing Systems 32 (NIPS 2019). Conference on Neural Information Processing Systems.
Foster, A. et al. (2019) “Variational Bayesian optimal experimental design”, in Advances in Neural Information Processing Systems 32 (NIPS 2019). Conference on Neural Information Processing Systems.
Foster, A. et al. (2019) “Variational Bayesian Optimal Experimental Design”, in.
Locatello, F. et al. (2019) “On the fairness of disentangled representations”, in Advances in Neural Information Processing Systems. NeurIPS.
Foster, A. et al. (2019) “Variational Bayesian Optimal Experimental Design”, in.
Martínez-Rubio, D., Kanade, V. and Rebeschini, P. (2019) “Decentralized cooperative stochastic bandits”, in Advances in Neural Information Processing Systems 32. Neural Information Processing Systems Foundation.
Richards, D. and Rebeschini, P. (2019) “Optimal statistical rates for decentralised non-parametric regression with linear speed-up”, in Advances in Neural Information Processing Systems 32 (NIPS 2019). Neural Information Processing Systems Foundation.
Foster, A. et al. (2019) “A Unified Stochastic Gradient Approach to Designing Bayesian-Optimal Experiments.”