Beau Coker

Publication Activity (10 Years)

Years Active: 2018-2022
Publications (10 Years): 13

Top Topics

Contingency Tables

Statistical Inference

Top Venues

Publications

Jiayu Yao, Yaniv Yacoby, Beau Coker, Weiwei Pan, Finale Doshi-Velez
An Empirical Analysis of the Advantages of Finite- v.s. Infinite-Width Bayesian Neural Networks. CoRR (2022)
Wenying Deng, Beau Coker, Jeremiah Zhe Liu, Brent A. Coull
Towards a Unified Framework for Uncertainty-aware Nonlinear Variable Selection with Theoretical Guarantees. CoRR (2022)
Beau Coker, Wessel P. Bruinsma, David R. Burt, Weiwei Pan, Finale Doshi-Velez
Wide Mean-Field Bayesian Neural Networks Ignore the Data. CoRR (2022)
Wenying Deng, Beau Coker, Rajarshi Mukherjee, Jeremiah Z. Liu, Brent A. Coull
Towards a Unified Framework for Uncertainty-aware Nonlinear Variable Selection with Theoretical Guarantees. NeurIPS (2022)
Beau Coker, Wessel P. Bruinsma, David R. Burt, Weiwei Pan, Finale Doshi-Velez
Wide Mean-Field Bayesian Neural Networks Ignore the Data. AISTATS (2022)
Beau Coker, Cynthia Rudin, Gary King
A Theory of Statistical Inference for Ensuring the Robustness of Scientific Results. Manag. Sci. 67 (10) (2021)
Beau Coker, Weiwei Pan, Finale Doshi-Velez
Wide Mean-Field Variational Bayesian Neural Networks Ignore the Data. CoRR (2021)
Beau Coker, Melanie Fernandes Pradier, Finale Doshi-Velez
PoRB-Nets: Poisson Process Radial Basis Function Networks. UAI (2020)
Benjamin Kompa, Beau Coker
Learning a Latent Space of Highly Multidimensional Cancer Data. PSB (2020)
Benjamin Kompa, Beau Coker
Learning a Generative Model of Cancer Metastasis. CoRR (2019)
Beau Coker, Melanie F. Pradier, Finale Doshi-Velez
Towards Expressive Priors for Bayesian Neural Networks: Poisson Process Radial Basis Function Networks. CoRR (2019)
Cynthia Rudin, Caroline Wang, Beau Coker
The age of secrecy and unfairness in recidivism prediction. CoRR (2018)
Beau Coker, Cynthia Rudin, Gary King
A Theory of Statistical Inference for Ensuring the Robustness of Scientific Results. CoRR (2018)