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10/27/2022
A randomized Multi-index sequential Monte Carlo method
We consider the problem of estimating expectations with respect to a tar...
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03/25/2022
Digital Fingerprinting of Microstructures
Finding efficient means of fingerprinting microstructural information is...
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03/24/2022
Multilevel Bayesian Deep Neural Networks
In this article we consider Bayesian inference associated to deep neural...
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03/10/2022
Multi-index Sequential Monte Carlo ratio estimators for Bayesian Inverse problems
We consider the problem of estimating expectations with respect to a tar...
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07/05/2021
Randomized multilevel Monte Carlo for embarrassingly parallel inference
This position paper summarizes a recently developed research program foc...
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02/24/2021
Sparse online variational Bayesian regression
This work considers variational Bayesian inference as an inexpensive and...
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02/24/2021
On Unbiased Estimation for Discretized Models
In this article, we consider computing expectations w.r.t. probability m...
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03/10/2020
Unbiased Estimation of the Gradient of the Log-Likelihood in Inverse Problems
We consider the problem of estimating a parameter associated to a Bayesi...
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05/15/2019
Cluster, Classify, Regress: A General Method For Learning Discountinous Functions
This paper presents a method for solving the supervised learning problem...
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03/07/2019
Estimation and uncertainty quantification for the output from quantum simulators
The problem of estimating certain distributions over {0,1}^d is consider...
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12/24/2018
Bayesian Point Set Registration
Point set registration involves identifying a smooth invertible transfor...
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04/12/2018