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Geoff K. Nicholls
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2020 – today
- 2024
- [j4]Schyan Zafar
, Geoff K. Nicholls:
An embedded diachronic sense change model with a case study from ancient Greek. Comput. Stat. Data Anal. 199: 108011 (2024) - 2023
- [c2]Chuxuan Jiang, Geoff K. Nicholls, Jeong-Eun (Kate) Lee:
Bayesian inference for vertex-series-parallel partial orders. UAI 2023: 995-1004 - [i4]Schyan Zafar
An Embedded Diachronic Sense Change Model with a Case Study from Ancient Greek. CoRR abs/2311.00541 (2023) - 2022
- [j3]Robert Hu
Large scale tensor regression using kernels and variational inference. Mach. Learn. 111(7): 2663-2713 (2022) - [i3]Chris U. Carmona
Scalable Semi-Modular Inference with Variational Meta-Posteriors. CoRR abs/2204.00296 (2022) - 2021
- [j2]Jeong-Eun (Kate) Lee
Tree based credible set estimation. Stat. Comput. 31(6): 69 (2021) - [i2]Schyan Zafar, Geoff K. Nicholls:
Measuring diachronic sense change: new models and Monte Carlo methods for Bayesian inference. CoRR abs/2105.00819 (2021) - 2020
- [j1]Mark Patrick Roeling, Geoff K. Nicholls
Imputation of attributes in networked data using Bayesian autocorrelation regression models. Soc. Networks 62: 24-32 (2020) - [c1]Christian Carmona, Geoff K. Nicholls:
Semi-Modular Inference: enhanced learning in multi-modular models by tempering the influence of components. AISTATS 2020: 4226-4235 - [i1]Robert Hu, Geoff K. Nicholls, Dino Sejdinovic:
Large Scale Tensor Regression using Kernels and Variational Inference. CoRR abs/2002.04704 (2020)
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