Sisson, Scott A.

11 publications

TMLR 2025 Convergence Aspects of Hybrid Kernel SVGD Anson MacDonald, Scott A Sisson, Sahani Pathiraja

TMLR 2025 Positional Encoder Graph Quantile Neural Networks for Geographic Data William E. R. de Amorim, Scott A Sisson, Thais Carvalho Valadares Rodrigues, David J Nott, Guilherme S. Rodrigues

NeurIPS 2025 Variational Transdimensional Inference Laurence Davies, Dan MacKinlay, Rafael Oliveira, Scott A Sisson

ICML 2023 Free-Form Variational Inference for Gaussian Process State-Space Models Xuhui Fan, Edwin V. Bonilla, Terence O’Kane, Scott A Sisson

MLJ 2022 Smoothing Graphons for Modelling Exchangeable Relational Data Yaqiong Li, Xuhui Fan, Ling Chen, Bin Li, Scott A. Sisson

IJCAI 2021 Bayesian Nonparametric Space Partitions: A Survey Xuhui Fan, Bin Li, Ling Luo, Scott A. Sisson

ECML-PKDD 2021 Decoupling Sparsity and Smoothness in Dirichlet Belief Networks Yaqiong Li, Xuhui Fan, Ling Chen, Bin Li, Scott A. Sisson

ICML 2021 Poisson-Randomised DirBN: Large Mutation Is Needed in Dirichlet Belief Networks Xuhui Fan, Bin Li, Yaqiong Li, Scott A. Sisson

IJCAI 2020 Recurrent Dirichlet Belief Networks for Interpretable Dynamic Relational Data Modelling Yaqiong Li, Xuhui Fan, Ling Chen, Bin Li, Zheng Yu, Scott A. Sisson

AISTATS 2019 Variance Reduction Properties of the Reparameterization Trick Ming Xu, Matias Quiroz, Robert Kohn, Scott A. Sisson

AISTATS 2018 The Binary Space Partitioning-Tree Process Xuhui Fan, Bin Li, Scott A. Sisson