NeurIPS 2018 Accepted Papers

13 papers co-authored by members of the group have been accepted to the main program of NeurIPS 2018.

• V. Perrone, R. Jenatton, M. Seeger, C. Archambeau. Scalable Hyperparameter Transfer Learning. Poster: Thursday Poster Session B, AB #124.

• J. Chan, V. Perrone, J. Spence, P. A. Jenkins, S. Mathieson and Yun S. Song. A Likelihood-Free Inference Framework for Population Genetic Data using Exchangeable Neural Networks. Poster: Tuesday Poster Session B, AB #111. Spotlight: Tuesday 16:05-16:10, Room 220 CD.

• S. Lyddon, S. Walker, C. Holmes. Nonparametric learning from Bayesian models with randomized objective functions. Poster: Thursday Poster Session A, AB #24.

• A. L. Caterini, A. Doucet, and D. Sejdinovic. Hamiltonian Variational Auto-Encoder. Poster: Wednesday Poster Session A, AB #5.

• H. C. L. Law, D. Sejdinovic, E. Cameron, T. C. D. Lucas, S. Flaxman, K. Battle, and K. Fukumizu. Variational Learning on Aggregate Outputs with Gaussian Processes. Poster: Wednesday Poster Session B, AB #19.

• H. Lee, J. Lee, S Kim, E Yang and S. J. Hwang. DropMax: Adaptive Variational Softmax. Poster: Tuesday Poster Session A, AB #76.

• J. Heo, H. Lee, S. Kim, J. Lee, K. Kim, E. Yang, and S. J. Hwang. Uncertainty-Aware Attention for Reliable Interpretation and Prediction. Poster: Wednesday Poster Session B, AB #62.

• Emilien Dupont. Learning Disentangled Joint Continuous and Discrete Representations. Poster: Thursday Poster Session A, AB #151.

• X. Miscouridou, F. Caron, Y. W. Teh. Modelling sparsity, heterogeneity, reciprocity and community structure in temporal interaction data. Poster: Tuesday Poster Session A, AB #1.

• S. Webb, A. Golinski, R. Zinkov, N Siddharth, T. Rainforth, Y. W. Teh, F. Wood. Faithful Inversion of Generative Models for Effective Amortized Inference. Poster: Thursday Poster Session A, AB #30.

• J. Chen, J. Zhu, Y. W. Teh, T. Zhang. Stochastic Expectation Maximization with Variance Reduction. Poster: Wednesday Poster Session B, AB # 16.

• J. Mitrovic, D. Sejdinovic, Y. W. Teh. Causal Inference via Kernel Deviance Measures. Poster: Thursday Poster Session A, AB #9. Spotlight: Thursday 10:35-10:40, Room 220 E.

• A. Kosiorek, H. Kim, Y. W. Teh, I. Posner. Sequential Attend, Infer, Repeat: Generative Modelling of Moving Objects . Poster: Wednesday Poster Session A, AB #24. Spotlight: Wednesday 10:25-10:30, Room 220 E.