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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/jhoon-cho/mbtl

공식 코드

Model-Based Transfer Learning for Contextual Reinforcement Learning

https://github.com/jiahenghu/glso

공식 코드

GLSO: Grammar-guided Latent Space Optimization for Sample-efficient Robot Design Automation

https://github.com/jicongfan/automated-spectral-clustering

공식 코드

A Simple Approach to Automated Spectral Clustering

https://github.com/jimbo994/deephv-iclr

공식 코드

Multi-objective optimization via equivariant deep hypervolume approximation

https://github.com/jinghanY/physicalAttackImageComposition

공식 코드

Finding Physical Adversarial Examples for Autonomous Driving with Fast and Differentiable Image Compositing

https://github.com/jingnantes/hybrid-mst

공식 코드

Hybrid-MST: A Hybrid Active Sampling Strategy for Pairwise Preference Aggregation

https://github.com/jiwoncpark/botied

공식 코드

BOtied: Multi-objective Bayesian optimization with tied multivariate ranks

https://github.com/jixiangchen-jimmy/dmea

공식 코드

Dynamic Multi-objective Ensemble of Acquisition Functions in Batch Bayesian Optimization

https://github.com/jjaeyeon/gebo

공식 코드

Mold into a Graph: Efficient Bayesian Optimization over Mixed-Spaces

https://github.com/jmetzen/bayesian_optimization

공식 코드

Minimum Regret Search for Single- and Multi-Task Optimization

https://github.com/jointentropysearch/jointentropysearch

공식 코드

Joint Entropy Search for Maximally-Informed Bayesian Optimization

https://github.com/joonahn/BrECS

공식 코드

Budget-Aware Sequential Brick Assembly with Efficient Constraint Satisfaction

https://github.com/jovitalukasik/SVGe

공식 코드

Smooth Variational Graph Embeddings for Efficient Neural Architecture Search

https://github.com/joykirat18/tarot

공식 코드

Mechanistic Behavior Editing of Language Models

https://github.com/jpfolch/SnAKe

공식 코드

SnAKe: Bayesian Optimization with Pathwise Exploration

https://github.com/jpfolch/mfboom

공식 코드

Combining Multi-Fidelity Modelling and Asynchronous Batch Bayesian Optimization

https://github.com/jsunn-y/SGPO

공식 코드

Steering Generative Models with Experimental Data for Protein Fitness Optimization

https://github.com/juliagrosse/ults

공식 코드

Uncertainty-Guided Optimization on Large Language Model Search Trees

https://github.com/julienmartinelli/SADCBO

공식 코드

Learning Relevant Contextual Variables Within Bayesian Optimization

https://github.com/juliusc/bayesopt_reranking

공식 코드

A Bayesian Optimization Approach to Machine Translation Reranking

https://github.com/juliuszziomek/lb-gp-ucb

공식 코드

Bayesian Optimisation with Unknown Hyperparameters: Regret Bounds Logarithmically Closer to Optimal

https://github.com/jungtaekkim/losan-lofav

공식 코드

Noise-Adaptive Confidence Sets for Linear Bandits and Application to Bayesian Optimization

https://github.com/jungtaekkim/practical-bo-with-threshold-guided-mlm

공식 코드

Practical Bayesian Optimization with Threshold-Guided Marginal Likelihood Maximization

https://github.com/jwaladhamala/BO-GVAE

공식 코드

Bayesian Optimization on Large Graphs via a Graph Convolutional Generative Model: Application in Cardiac Model Personalization

https://github.com/kaandocal/wasserstein_inference

공식 코드

Parameter estimation for biochemical reaction networks using Wasserstein distances

https://github.com/kamyar-v2/rdw

공식 코드

Physics-based reward driven image analysis in microscopy

https://github.com/kananmahammadli/sllmbo

공식 코드

Sequential Large Language Model-Based Hyper-parameter Optimization

https://github.com/kayween/local-bo-convergence

공식 코드

The Behavior and Convergence of Local Bayesian Optimization

https://github.com/kayween/local-bo-mpd

공식 코드

Local Bayesian optimization via maximizing probability of descent

https://github.com/kels271828/RayBay

공식 코드

A hyperparameter-tuning approach to automated inverse planning

https://github.com/kenny-co/procedural-advml

공식 코드

Procedural Noise Adversarial Examples for Black-Box Attacks on Deep Convolutional Networks

https://github.com/kerembozgann/adaptive-epsilon-pal

공식 코드

Beyond Grids: Multi-objective Bayesian Optimization With Adaptive Discretization

https://github.com/kiranchhatre/BEAM-Bayes-Opt

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Parallel Bayesian Optimization of Agent-based Transportation Simulation

https://github.com/kjain1810/bayesian-optimization-for-function-compositions-with-applications-to-dynamic-pricing

공식 코드

Bayesian Optimization for Function Compositions with Applications to Dynamic Pricing

https://github.com/klabum/baeopt

공식 코드

Identification of stormwater control strategies and their associated uncertainties using Bayesian Optimization

https://github.com/kouroshHakha/jumbo

공식 코드

JUMBO: Scalable Multi-task Bayesian Optimization using Offline Data

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