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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/sgbaird/honegumi

공식 코드

Honegumi: An Interface for Accelerating the Adoption of Bayesian Optimization in the Experimental Sciences

https://github.com/shangda-yang/mlmcbo

공식 코드

Accelerating Look-ahead in Bayesian Optimization: Multilevel Monte Carlo is All you Need

https://github.com/shaoqian12/hr-lp

공식 코드

Preference-Aware Delivery Planning for Last-Mile Logistics

https://github.com/shengcheng/material_reconstruction_correlation

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Data-Driven Learning of 3-Point Correlation Functions as Microstructure Representations

https://github.com/shepherd-gregory/bkio-exploration

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CARE: Confidence-rich Autonomous Robot Exploration using Bayesian Kernel Inference and Optimization

https://github.com/sherrylixuecheng/EMQAOA-DARBO

공식 코드

Quantum approximate optimization via learning-based adaptive optimization

https://github.com/sherrylixuecheng/odbo

공식 코드

ODBO: Bayesian Optimization with Search Space Prescreening for Directed Protein Evolution

https://github.com/shiningsunnyday/induction

공식 코드

Directed Graph Grammars for Sequence-based Learning

https://github.com/shiyu-xing/reghec

공식 코드

RegHEC: Hand-Eye Calibration via Simultaneous Multi-view Point Clouds Registration of Arbitrary Object

https://github.com/shriyabhatija/mo-cbo

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Multi-Objective Causal Bayesian Optimization

https://github.com/shromonag/adversarial_testing

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Verifying Controllers Against Adversarial Examples with Bayesian Optimization

https://github.com/shuoli90/traq

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TRAQ: Trustworthy Retrieval Augmented Question Answering via Conformal Prediction

https://github.com/simpleple/la3-label-aware-autoaugment

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LA3: Efficient Label-Aware AutoAugment

https://github.com/sisl/bayesiansafetyvalidation.jl

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Bayesian Safety Validation for Failure Probability Estimation of Black-Box Systems

https://github.com/sisl/sbo_aippms

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Sequential Bayesian Optimization for Adaptive Informative Path Planning with Multimodal Sensing

https://github.com/slautin/2024_co-orchestration

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Co-orchestration of Multiple Instruments to Uncover Structure-Property Relationships in Combinatorial Libraries

https://github.com/slautin/2024_noise_bo

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Measurements with Noise: Bayesian Optimization for Co-optimizing Noise and Property Discovery in Automated Experiments

https://github.com/slds-lmu/paper_2021_xautoml

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Explaining Hyperparameter Optimization via Partial Dependence Plots

https://github.com/smilesun/reinbo

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ReinBo: Machine Learning pipeline search and configuration with Bayesian Optimization embedded Reinforcement Learning

https://github.com/snap-stanford/biodiscoveryagent

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BioDiscoveryAgent: An AI Agent for Designing Genetic Perturbation Experiments

https://github.com/snu-adsl/DEEP-BO

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DEEP-BO for Hyperparameter Optimization of Deep Networks

https://github.com/snu-adsl/bbea

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B2EA: An Evolutionary Algorithm Assisted by Two Bayesian Optimization Modules for Neural Architecture Search

https://github.com/snu-mllab/bayesian-red-teaming

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Query-Efficient Black-Box Red Teaming via Bayesian Optimization

https://github.com/snu-mllab/discreteblockbayesattack

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Query-Efficient and Scalable Black-Box Adversarial Attacks on Discrete Sequential Data via Bayesian Optimization

https://github.com/snu-mllab/parsimonious-blackbox-attack

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Black-box Adversarial Attacks with Bayesian Optimization

https://github.com/softsys4ai/FlexiBO

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FlexiBO: A Decoupled Cost-Aware Multi-Objective Optimization Approach for Deep Neural Networks

https://github.com/sooperset/boss

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Bayesian Optimization Meets Self-Distillation

https://github.com/souryadey/deep-n-cheap

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Deep-n-Cheap: An Automated Search Framework for Low Complexity Deep Learning

https://github.com/ssethz/mcbo

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Model-based Causal Bayesian Optimization

https://github.com/subhodipbiswas/BayesianEvolution

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Better call Surrogates: A hybrid Evolutionary Algorithm for Hyperparameter optimization

https://github.com/sygogo/alignment_beamlines_rl

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Action-Attentive Deep Reinforcement Learning for Autonomous Alignment of Beamlines

https://github.com/symbench/anvil

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Anvil: An integration of artificial intelligence, sampling techniques, and a combined CAD-CFD tool

https://github.com/taicaichen/pg-lbo

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PG-LBO: Enhancing High-Dimensional Bayesian Optimization with Pseudo-Label and Gaussian Process Guidance

https://github.com/tanmay-ty/tntrules

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Explainable Bayesian Optimization

https://github.com/tennisonliu/llambo

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Large Language Models to Enhance Bayesian Optimization

https://github.com/thiago-vasconcelos/no-past-bo

공식 코드

No-PASt-BO: Normalized Portfolio Allocation Strategy for Bayesian Optimization

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.