Geoff K. Nicholls

11 papers A 2Journal 9
YearRankTypeTitle / Venue / Authors
2026 J jnl
Amortized Simulation-Based Inference in Generalized Bayes via Neural Posterior Estimation.
CoRR
Shiyi Sun, Geoff K. Nicholls, Jeong Eun Lee
2024 J jnl
An embedded diachronic sense change model with a case study from ancient Greek.
Comput. Stat. Data Anal.
Schyan Zafar, Geoff K. Nicholls
2023 J jnl
An Embedded Diachronic Sense Change Model with a Case Study from Ancient Greek.
CoRR
Schyan Zafar, Geoff K. Nicholls
2023 A conf
Bayesian inference for vertex-series-parallel partial orders.
UAI
Chuxuan Jiang, Geoff K. Nicholls, Jeong-Eun (Kate) Lee
2022 J jnl
Large scale tensor regression using kernels and variational inference.
Mach. Learn.
Robert Hu, Geoff K. Nicholls, Dino Sejdinovic
2022 J jnl
Scalable Semi-Modular Inference with Variational Meta-Posteriors.
CoRR
Chris U. Carmona, Geoff K. Nicholls
2021 J jnl
Measuring diachronic sense change: new models and Monte Carlo methods for Bayesian inference.
CoRR
Schyan Zafar, Geoff K. Nicholls
2021 J jnl
Tree based credible set estimation.
Stat. Comput.
Jeong-Eun (Kate) Lee, Geoff K. Nicholls
2020 J jnl
Imputation of attributes in networked data using Bayesian autocorrelation regression models.
Soc. Networks
Mark Patrick Roeling, Geoff K. Nicholls
2020 J jnl
Large Scale Tensor Regression using Kernels and Variational Inference.
CoRR
Robert Hu, Geoff K. Nicholls, Dino Sejdinovic
2020 A conf
Semi-Modular Inference: enhanced learning in multi-modular models by tempering the influence of components.
AISTATS
Christian Carmona, Geoff K. Nicholls