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02/08/2023
Fortuna: A Library for Uncertainty Quantification in Deep Learning
We present Fortuna, an open-source library for uncertainty quantificatio...
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07/17/2022
Uncertainty Calibration in Bayesian Neural Networks via Distance-Aware Priors
As we move away from the data, the predictive uncertainty should increas...
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06/17/2021
Causal Bias Quantification for Continuous Treatment
In this work we develop a novel characterization of marginal causal effe...
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10/28/2019
Multilevel Dimension-Independent Likelihood-Informed MCMC for Large-Scale Inverse Problems
We present a non-trivial integration of dimension-independent likelihood...
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05/25/2019
HINT: Hierarchical Invertible Neural Transport for General and Sequential Bayesian inference
In this paper, we introduce Hierarchical Invertible Neural Transport (HI...
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01/23/2019
Stein Variational Online Changepoint Detection with Applications to Hawkes Processes and Neural Networks
Bayesian online changepoint detection (BOCPD) (Adams & MacKay, 2007) off...
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06/08/2018