Code for the EMNLP 2021 Paper "Active Learning by Acquiring Contrastive Examples" & the ACL 2022 Paper "On the Importance of Effectively Adapting Pretrained Language Models for Active Learning"

Bayesian Optimization algorithms with various recent improvements

Bayesian Optimization for Categorical and Continuous Inputs

ActiveHARNet: Towards On-Device Deep Bayesian Active Learning for Human Activity Recognition

This is the companion code for the paper Noisy-Input Entropy Search for Efficient Robust Bayesian Optimization by Lukas P. Fröhlich et al., AISTATS 2020

Greed is Good: Exploration and Exploitation Trade-offs in Bayesian Optimisation

An improved version of Turbo algorithm for the Black-box optimization competition organized by NeurIPS 2020

This code runs Bayesian optimization with the exploration enhanced expected improvement (E3I) acquisition function

ϵ-shotgun: ϵ-greedy Batch Bayesian Optimisation

In this project, we focus on different ways to optimize a machine learning model parameters.

How Bayesian should Bayesian Optimisation be?

Python package for generating experimental designs tailored for uncertainty quantification and featuring parallel implementations

Bayesian Optimization using Gaussian Process: Implementation from Scratch.

Bayesian Optimisation acquisition functions PI and EI modified under guassian noise assuption at observations

leADS: improved metabolic pathway inference based on active dataset subsampling

Bayesian Optimization using Gaussian Process: Implementation from Scratch.