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04/21/2021
Making Differentiable Architecture Search less local
Neural architecture search (NAS) is a recent methodology for automating ...
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10/26/2020
Black-box density function estimation using recursive partitioning
We present a novel approach to Bayesian inference and general Bayesian c...
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09/17/2019
Compositional uncertainty in deep Gaussian processes
Gaussian processes (GPs) are nonparametric priors over functions, and fi...
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06/26/2019
Modulated Bayesian Optimization using Latent Gaussian Process Models
We present an approach to Bayesian Optimization that allows for robust s...
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12/13/2018
Gaussian Process Deep Belief Networks: A Smooth Generative Model of Shape with Uncertainty Propagation
The shape of an object is an important characteristic for many vision pr...
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12/18/2017
Nonparametric Inference for Auto-Encoding Variational Bayes
We would like to learn latent representations that are low-dimensional a...
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07/18/2017