Talking Machines

In season five episode three we chat about take a listener question about Five Papers for Mike Tipping, take a listener question on AIAI and chat with Eoin O'Mahony of UberHere are Neil's five papers. What are yours?Stochastic variational inference by Hoffman, Wang, Blei and Paisleyhttp://arxiv.org/abs/1206.7051A way of doing approximate inference for probabilistic models with potentially billions of data ... need I say more?Austerity in MCMC Land: Cutting the Metropolis Hastings by Korattikara, Chen and Wellinghttp://arxiv.org/abs/1304.5299Oh ... I do need to say more ... because these three are at it as well but from the sampling perspective. Probabilistic models for big data ... an idea so important it needed to be in the list twice. Practical Bayesian Optimization of Machine Learning Algorithms by Snoek, Larochelle and Adamshttp://arxiv.org/abs/1206.2944This paper represents the rise in probabilistic numerics, I could also have chosen papers by Osborne, Hennig or others. There are too many papers out