Geoff K. Nicholls

According to our database, Geoff K. Nicholls authored at least 10 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

A Differentiable Bayesian Relaxation for Latent Partial-Order Inference.

Dongqing Li, Geoff K. Nicholls, Shiyi Sun, You Luo

CoRR, May, 2026

Amortized Simulation-Based Inference in Generalized Bayes via Neural Posterior Estimation.

Shiyi Sun, Geoff K. Nicholls, Jeong Eun Lee

CoRR, January, 2026

2024

An embedded diachronic sense change model with a case study from ancient Greek.

Schyan Zafar, Geoff K. Nicholls

Comput. Stat. Data Anal., 2024

2023

Bayesian inference for vertex-series-parallel partial orders.

Chuxuan Jiang, Geoff K. Nicholls, Jeong-Eun (Kate) Lee

Proceedings of the Uncertainty in Artificial Intelligence, 2023

2022

Large scale tensor regression using kernels and variational inference.

Robert Hu, Geoff K. Nicholls, Dino Sejdinovic

Mach. Learn., 2022

Scalable Semi-Modular Inference with Variational Meta-Posteriors.

Chris U. Carmona, Geoff K. Nicholls

CoRR, 2022

2021

Tree based credible set estimation.

Jeong-Eun (Kate) Lee, Geoff K. Nicholls

Stat. Comput., 2021

Measuring diachronic sense change: new models and Monte Carlo methods for Bayesian inference.

Schyan Zafar, Geoff K. Nicholls

CoRR, 2021

2020

Imputation of attributes in networked data using Bayesian autocorrelation regression models.

Mark Patrick Roeling, Geoff K. Nicholls

Soc. Networks, 2020

Semi-Modular Inference: enhanced learning in multi-modular models by tempering the influence of components.

Christian Carmona, Geoff K. Nicholls

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020