Semi-Modular Inference: enhanced learning in multi-modular models by tempering the influence of components. - Christian Carmona; Geoff K. Nicholls (AISTATS, 2020)

Imputation of attributes in networked data using Bayesian autocorrelation regression models. - Mark Patrick Roeling; Geoff K. Nicholls (Soc. Networks, 2020)

Measuring diachronic sense change: new models and Monte Carlo methods for Bayesian inference. - Schyan Zafar; Geoff K. Nicholls (CoRR, 2021)

Tree based credible set estimation. - Jeong-Eun (Kate) Lee; Geoff K. Nicholls (Stat. Comput., 2021)

Scalable Semi-Modular Inference with Variational Meta-Posteriors. - Chris U. Carmona; Geoff K. Nicholls (CoRR, 2022)

Large scale tensor regression using kernels and variational inference. - Robert Hu; Geoff K. Nicholls; Dino Sejdinovic (Mach. Learn., 2022)

Bayesian inference for vertex-series-parallel partial orders. - Chuxuan Jiang; Geoff K. Nicholls; Jeong-Eun (Kate) Lee (UAI, 2023)

An embedded diachronic sense change model with a case study from ancient Greek. - Schyan Zafar; Geoff K. Nicholls (Comput. Stat. Data Anal., 2024)