Search Results for author: Wesley Maddox

Found 5 papers, 3 papers with code

Bayesian Optimization with Conformal Prediction Sets

1 code implementation22 Oct 2022 Samuel Stanton, Wesley Maddox, Andrew Gordon Wilson

Bayesian optimization is a coherent, ubiquitous approach to decision-making under uncertainty, with applications including multi-arm bandits, active learning, and black-box optimization.

Active Learning Bayesian Optimization +5

Rethinking Parameter Counting: Effective Dimensionality Revisited

no code implementations1 Jan 2021 Gregory Benton, Wesley Maddox, Andrew Gordon Wilson

Neural networks appear to have mysterious generalization properties when using parameter counting as a proxy for complexity.

Model Selection

A Simple Baseline for Bayesian Uncertainty in Deep Learning

8 code implementations NeurIPS 2019 Wesley Maddox, Timur Garipov, Pavel Izmailov, Dmitry Vetrov, Andrew Gordon Wilson

We propose SWA-Gaussian (SWAG), a simple, scalable, and general purpose approach for uncertainty representation and calibration in deep learning.

Bayesian Inference Transfer Learning

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