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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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08/23/2022
Empowering First-Year Computer Science Ph.D. Students to Create a Culture that Values Community and Mental Health
Doctoral programs often have high rates of depression, anxiety, isolatio...
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05/11/2022
"If it didn't happen, why would I change my decision?": How Judges Respond to Counterfactual Explanations for the Public Safety Assessment
Many researchers and policymakers have expressed excitement about how al...
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07/14/2020
Failure Modes of Variational Autoencoders and Their Effects on Downstream Tasks
Variational Auto-encoders (VAEs) are deep generative latent variable mod...
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07/12/2020
BaCOUn: Bayesian Classifers with Out-of-Distribution Uncertainty
Traditional training of deep classifiers yields overconfident models tha...
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06/21/2020
Learned Uncertainty-Aware (LUNA) Bases for Bayesian Regression using Multi-Headed Auxiliary Networks
Neural Linear Models (NLM) are deep models that produce predictive uncer...
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03/17/2020
Characterizing and Avoiding Problematic Global Optima of Variational Autoencoders
Variational Auto-encoders (VAEs) are deep generative latent variable mod...
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11/01/2019
