Beau Coker

Orcid: 0000-0003-3811-5674

According to our database1, Beau Coker authored at least 11 papers between 2018 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2022
An Empirical Analysis of the Advantages of Finite- v.s. Infinite-Width Bayesian Neural Networks.
CoRR, 2022

Towards a Unified Framework for Uncertainty-aware Nonlinear Variable Selection with Theoretical Guarantees.
CoRR, 2022

Towards a Unified Framework for Uncertainty-aware Nonlinear Variable Selection with Theoretical Guarantees.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Wide Mean-Field Bayesian Neural Networks Ignore the Data.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021
A Theory of Statistical Inference for Ensuring the Robustness of Scientific Results.
Manag. Sci., 2021

Wide Mean-Field Variational Bayesian Neural Networks Ignore the Data.
CoRR, 2021

2020
PoRB-Nets: Poisson Process Radial Basis Function Networks.
Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

Learning a Latent Space of Highly Multidimensional Cancer Data.
Proceedings of the Pacific Symposium on Biocomputing 2020, 2020

2019
Towards Expressive Priors for Bayesian Neural Networks: Poisson Process Radial Basis Function Networks.
CoRR, 2019

Learning a Generative Model of Cancer Metastasis.
CoRR, 2019

2018
The age of secrecy and unfairness in recidivism prediction.
CoRR, 2018


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