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List of works by Andrew Gordon Wilson

A Simple Baseline for Bayesian Uncertainty in Deep Learning ⬇️

scholarly article by Wesley J. Maddox et al published 2019 in Advances in Neural Information Processing Systems 32

Bayesian Deep Learning and a Probabilistic Perspective of Generalization ⬇️

scientific article published in November 2020

Bayesian GAN ⬇️

BoTorch: A Framework for Efficient Monte-Carlo Bayesian Optimization ⬇️

Exact Gaussian Processes on a Million Data Points ⬇️

Function-Space Distributions over Kernels ⬇️

scientific article published in January 2019

GPyTorch: Blackbox Matrix-Matrix Gaussian Process Inference with GPU Acceleration ⬇️

Learning Invariances in Neural Networks from Training Data ⬇️

Learning Scalable Deep Kernels with Recurrent Structure

scientific article published on 01 January 2017

Scalable Levy Process Priors for Spectral Kernel Learning ⬇️

scientific article published in January 2017

Scalable Log Determinants for Gaussian Process Kernel Learning ⬇️

scientific article published in January 2017

Scaling Gaussian Process Regression with Derivatives ⬇️

Simplifying Hamiltonian and Lagrangian Neural Networks via Explicit Constraints ⬇️

scientific article published in November 2020

Stochastic Variational Deep Kernel Learning ⬇️

scientific article published in January 2016

The Human Kernel ⬇️

Why Normalizing Flows Fail to Detect Out-of-Distribution Data ⬇️

scientific article published in November 2020

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