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11/16/2022
An Empirical Analysis of the Advantages of Finite- v.s. Infinite-Width Bayesian Neural Networks
Comparing Bayesian neural networks (BNNs) with different widths is chall...
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04/15/2022
Towards a Unified Framework for Uncertainty-aware Nonlinear Variable Selection with Theoretical Guarantees
We develop a simple and unified framework for nonlinear variable selecti...
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02/23/2022
Wide Mean-Field Bayesian Neural Networks Ignore the Data
Bayesian neural networks (BNNs) combine the expressive power of deep lea...
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06/13/2021
Wide Mean-Field Variational Bayesian Neural Networks Ignore the Data
Variational inference enables approximate posterior inference of the hig...
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12/12/2019
Towards Expressive Priors for Bayesian Neural Networks: Poisson Process Radial Basis Function Networks
While Bayesian neural networks have many appealing characteristics, curr...
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01/17/2019
Learning a Generative Model of Cancer Metastasis
We introduce a Unified Disentanglement Network (UFDN) trained on The Can...
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11/02/2018
The age of secrecy and unfairness in recidivism prediction
In our current society, secret algorithms make important decisions about...
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04/23/2018