Wesley Maddox

Code repo for "A Simple Baseline for Bayesian Uncertainty in Deep Learning"

Code Repo for "Subspace Inference for Bayesian Deep Learning"

Code repo for "Kernel Interpolation for Scalable Online Gaussian Processes"

Online variational GPs

Bayesian optimization in PyTorch

Code repo for "Function-Space Distributions over Kernels"

Experiment repo for "Bayesian Optimization with High-Dimensional Outputs"

Pytorch Elliptical Slice Sampling

No description provided.

Proceedings of AISTATS 2021

Transfer Learning library for Deep Neural Networks.

A highly efficient and modular implementation of Gaussian Processes in PyTorch

No description provided.

FC-DenseNet in PyTorch for Semantic Segmentation

test R package for BTRY6520 HW assignment

Performed Rich-Club Analysis on Exocytosis and Endocytosis PPI Networks

Materials for ORIE 7191: Topics in Optimization for Machine Learning

No description provided.

EECS442 Causal Learning Final Project