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Bayesian Optimization

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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/Kingsford-Group/vsbo

공식 코드

Computationally Efficient High-Dimensional Bayesian Optimization via Variable Selection

https://github.com/KirillShmilovich/ActiveLearningCG

공식 코드

Discovery of Self-Assembling $π$-Conjugated Peptides by Active Learning-Directed Coarse-Grained Molecular Simulation

https://github.com/LamNgo1/boids

공식 코드

BOIDS: High-dimensional Bayesian Optimization via Incumbent-guided Direction Lines and Subspace Embeddings

https://github.com/LeonResearch/GraphComBO

공식 코드

Bayesian Optimization of Functions over Node Subsets in Graphs

https://github.com/LinLabNEU/Blackbox_ADMM

공식 코드

On the Design of Black-box Adversarial Examples by Leveraging Gradient-free Optimization and Operator Splitting Method

https://github.com/MLRG-CEFET-RJ/HBRKGA

공식 코드

A Population-based Hybrid Approach to Hyperparameter Optimization for Neural Networks

https://github.com/MStarmans91/WORC

공식 코드

An automated machine learning framework to optimize radiomics model construction validated on twelve clinical applications

https://github.com/MachineLearningLifeScience/hdbo_benchmark

공식 코드

A survey and benchmark of high-dimensional Bayesian optimization of discrete sequences

https://github.com/Markusmu93/J-CompChE-HPCBoTS

공식 코드

Process-constrained batch Bayesian approaches for yield optimization in multi-reactor systems

https://github.com/MiriamKirchhoff/BO_for_EEG-TMS_phase

공식 코드

Closed-Loop phase selection in EEG-TMS using Bayesian Optimization

https://github.com/Mitan/po-gp-ucb

공식 코드

Private Outsourced Bayesian Optimization

https://github.com/NVlabs/condensa

공식 코드

A Programmable Approach to Neural Network Compression

https://github.com/Networks-Learning/nevae

공식 코드

NeVAE: A Deep Generative Model for Molecular Graphs

https://github.com/NoemieJaquier/GaBOtorch

공식 코드

High-Dimensional Bayesian Optimization via Nested Riemannian Manifolds

https://github.com/On-Point-RND/SeqNAS

공식 코드

SeqNAS: Neural Architecture Search for Event Sequence Classification

https://github.com/OptCon/SafeBO_WKR

공식 코드

Towards safe Bayesian optimization with Wiener kernel regression

https://github.com/PKU-DAIR/open-box

공식 코드

Automated Hyperparameter Optimization Challenge at CIKM 2021 AnalyticCup

https://github.com/POSTECH-CVLab/Combinatorial-3D-Shape-Generation

공식 코드

Combinatorial 3D Shape Generation via Sequential Assembly

https://github.com/PV-Lab/Benchmarking

공식 코드

Benchmarking the Performance of Bayesian Optimization across Multiple Experimental Materials Science Domains

https://github.com/PV-Lab/SL-PerovskiteOpt

공식 코드

Machine Learning with Knowledge Constraints for Process Optimization of Open-Air Perovskite Solar Cell Manufacturing

https://github.com/PaulsonLab/CAGES

공식 코드

CAGES: Cost-Aware Gradient Entropy Search for Efficient Local Multi-Fidelity Bayesian Optimization

https://github.com/PaulsonLab/MOBONS

공식 코드

Multi-Objective Bayesian Optimization for Networked Black-Box Systems: A Path to Greener Profits and Smarter Designs

https://github.com/PedroFerreiradaCosta/FaceFitOpt

공식 코드

Bayesian optimization for automatic design of face stimuli

https://github.com/QUVA-Lab/COMBO

공식 코드

Combinatorial Bayesian Optimization using the Graph Cartesian Product

https://github.com/Ryan-Rhys/Constrained-Bayesian-Optimisation-for-Automatic-Chemical-Design

공식 코드

Constrained Bayesian Optimization for Automatic Chemical Design

https://github.com/SMTorg/SMT

공식 코드

High-dimensional mixed-categorical Gaussian processes with application to multidisciplinary design optimization for a green aircraft

https://github.com/StanfordAI4HI/HBBS

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A Hierarchical Approach to Scaling Batch Active Search Over Structured Data

https://github.com/TrustMLRG/GASP

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GASP: Efficient Black-Box Generation of Adversarial Suffixes for Jailbreaking LLMs

https://github.com/TsingQAQ/SANODEP

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System-Aware Neural ODE Processes for Few-Shot Bayesian Optimization

https://github.com/XiaoyanWork/DAMe

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DAMe: Personalized Federated Social Event Detection with Dual Aggregation Mechanism

https://github.com/YuchenJin/autolrs

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AutoLRS: Automatic Learning-Rate Schedule by Bayesian Optimization on the Fly

https://github.com/ZCJ1111/BBO-sequence-design

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Protein Sequence Design with Batch Bayesian Optimisation

https://github.com/ZhaoxuanWu/Trusted-Maximizers-Entropy-Search-BO

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Trusted-Maximizers Entropy Search for Efficient Bayesian Optimization

https://github.com/ZhuKeven/MOBOSR

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Perceptual-Distortion Balanced Image Super-Resolution is a Multi-Objective Optimization Problem

https://github.com/aaltoml/sequential-gp

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Memory-Based Dual Gaussian Processes for Sequential Learning

https://github.com/aaltopml/rmfbo

공식 코드

Multi-Fidelity Bayesian Optimization with Unreliable Information Sources

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