13 papers co-authored by the OxCSML group members have been accepted to the main program of ICML 2019:

  • Calibrated Approximate Bayesian Inference. Hanwen Xing, Geoff Nicholls, Jeong Eun Lee

  • Scalable Nonparametric Sampling from Multimodal Posteriors with the Posterior Bootstrap. Edwin Fong, Simon Lyddon, Chris Holmes

  • Amortized Monte Carlo Integration. Adam Goliński, Frank Wood, Tom Rainforth

  • Set Transformer: A Framework for Attention-based Permutation-Invariant Neural Networks. Juho Lee, Yoonho Lee, Jungtaek Kim, Adam R. Kosiorek, Seungjin Choi, Yee Whye Teh

  • Scalable Metropolis–Hastings for Exact Bayesian Inference with Large Datasets. Rob Cornish, Paul Vanetti, Alex Bouchard-Côté, George Deligiannidis, Arnaud Doucet

  • On the Impact of the Activation Function on Deep Neural Networks Training. Soufiane Hayou, Arnaud Doucet, Judith Rousseau

  • Replica Conditional Sequential Monte Carlo. Alex Shestopaloff, Arnaud Doucet

  • Towards A Unified Analysis of Random Fourier Features. Zhu Li, Jean-Francois Ton, Dino Oglic, Dino Sejdinovic

  • Automated Model Selection with Bayesian Quadrature. Henry Chai, Jean-Francois Ton, Roman Garnett, Michael A. Osborne

  • Decomposing feature-level variation with Covariate Gaussian Process Latent Variable Models. Kaspar Märtens, Kieran Campbell, Christopher Yau

  • Disentangling Disentanglement in Variational Auto-Encoders. Emile Mathieu, Tom Rainforth, N Siddharth, Yee Whye Teh

  • Hybrid Models with Deep and Invertible Features. Eric Nalisnick, Akihiro Matsukawa, Yee Whye Teh, Dilan Gorur, Balaji Lakshminarayanan

  • Beyond the Chinese Restaurant and Pitman-Yor processes: Statistical Models with double power-law behavior. Fadhel Ayed, Juho Lee, François Caron