Beau Coker

Identifiers

• name variant Beau Coker 0.60 · backfill

Papers (8)

1. An Empirical Analysis of the Advantages of Finite- v.s. Infinite-Width Bayesian Neural Networks stat.ML · 2022 · author #3
2. Towards a Unified Framework for Uncertainty-aware Nonlinear Variable Selection with Theoretical Guarantees stat.ML · 2022 · author #2
3. Wide Mean-Field Bayesian Neural Networks Ignore the Data cs.LG · 2022 · author #1
4. Wide Mean-Field Variational Bayesian Neural Networks Ignore the Data cs.LG · 2021 · author #1
5. Towards Expressive Priors for Bayesian Neural Networks: Poisson Process Radial Basis Function Networks cs.LG · 2019 · author #1
6. Learning a Generative Model of Cancer Metastasis q-bio.QM · 2019 · author #2
7. The age of secrecy and unfairness in recidivism prediction stat.AP · 2018 · author #3
8. A Theory of Statistical Inference for Ensuring the Robustness of Scientific Results stat.ML · 2018 · author #1

Mentions

• 2211.09184 #3 · arxiv_oai · confidence 0.70 Beau Coker
• 2204.07293 #2 · arxiv_oai · confidence 0.70 Beau Coker
• 2202.11670 #1 · arxiv_oai · confidence 0.70 Beau Coker
• 1804.08646 #1 · arxiv_oai · confidence 0.70 Beau Coker
• 2106.07052 #1 · arxiv_oai · confidence 0.70 Beau Coker
• 1811.00731 #3 · arxiv_oai · confidence 0.70 Beau Coker
• 1912.05779 #1 · arxiv_oai · confidence 0.70 Beau Coker
• 1901.06023 #2 · arxiv_oai · confidence 0.70 Beau Coker

Frequent Coauthors

• Finale Doshi-Velez 4 shared papers
• Weiwei Pan 3 shared papers
• Cynthia Rudin 2 shared papers
• Benjamin Kompa 1 shared papers
• Brent A. Coull 1 shared papers
• Caroline Wang 1 shared papers
• David R. Burt 1 shared papers
• Gary King 1 shared papers
• Jeremiah Zhe Liu 1 shared papers
• Jiayu Yao 1 shared papers
• Melanie F. Pradier 1 shared papers
• Rajarshi Mukherjee 1 shared papers
• Wenying Deng 1 shared papers
• Wessel P. Bruinsma 1 shared papers
• Yaniv Yacoby 1 shared papers