Bayesian Optimization using Gaussian Process: Implementation from Scratch.
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Updated
Jun 28, 2023 - Jupyter Notebook
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.
Parallel implementation of novel uncertainty quantification methods
In this project, we focus on different ways to optimize a machine learning model parameters.
How Bayesian should Bayesian Optimisation be?
ϵ-shotgun: ϵ-greedy Batch Bayesian Optimisation
This code runs Bayesian optimization with the exploration enhanced expected improvement (E3I) acquisition function
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 is the companion code for the paper Noisy-Input Entropy Search for Efficient Robust Bayesian Optimization by Lukas P. Fröhlich et al., AISTATS 2020
ActiveHARNet: Towards On-Device Deep Bayesian Active Learning for Human Activity Recognition
Bayesian Optimization for Categorical and Continuous Inputs
Bayesian Optimization algorithms with various recent improvements
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"
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