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#BayesianOptimization

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Posts tagged #BayesianOptimization

ARAIM Protection Level Calculation Method Based on Bayesian Optimization
www.mdpi.com/2673-4591/12...

By Sitong Liu et al.
From the European Navigation Conference 2025

#ARAIM #GNSS #Integrity #BayesianOptimization

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Just crunched 64.59 s of Optuna trials and hit 0.9617 validation accuracy. The Bayesian TPE magic shows how fast smart hyperparameter tuning can be. Curious? Dive into the details! #HyperparameterTuning #Optuna #BayesianOptimization

🔗 aidailypost.com/news/hyperpa...

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We combine ML + #DigitalTwins to autonomously design photoreactors with high light capture and uniform irradiation. A virtual photoreactor guides #BayesianOptimization, allowing numerous designs in silico and fabrication only of the best candidates.

🔗 @chemrxiv.org : chemrxiv.org/engage/chemr...

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Meta releases Ax 1.0 for automated machine learning optimization Meta launches Ax 1.0, an open-source platform using Bayesian optimization to automate complex experimentation across AI development, infrastructure tuning, and hardware design.

Meta releases Ax 1.0 for automated machine learning optimization #Meta #MachineLearning #ArtificialIntelligence #BayesianOptimization #OpenSource

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Meta releases Ax 1.0 for automated machine learning optimization Meta launches Ax 1.0, an open-source platform using Bayesian optimization to automate complex experimentation across AI development, infrastructure tuning, and hardware design.

Meta releases Ax 1.0 for automated machine learning optimization #Meta #MachineLearning #ArtificialIntelligence #BayesianOptimization #OpenSource

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Quantile-Scaled Bayesian Optimization for Rank‑Only Feedback

Quantile-Scaled Bayesian Optimization for Rank‑Only Feedback

Quantile‑Scaled Bayesian Optimization (QS‑BO) lets BO use rank‑only feedback by turning ranks into quantile pseudo‑observations, achieving gains at p < 1 % on synthetic benchmarks. getnews.me/quantile-scaled-bayesian... #bayesianoptimization #rankfeedback

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Counterfactual Credit Guided Bayesian Optimization Advances Efficient Search

Counterfactual Credit Guided Bayesian Optimization Advances Efficient Search

CCGBO, the method, assigns credit to past observations, achieving a sublinear regret bound and lower simple regret on benchmarks, with fewer evaluations. getnews.me/counterfactual-credit-gu... #bayesianoptimization #counterfactualcredit

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Fine-Tuning LLMs with Variational Bayesian for High-Dim Optimization

Fine-Tuning LLMs with Variational Bayesian for High-Dim Optimization

ENS‑LoRA‑VBLL fine‑tunes LLMs with LoRA and a variational Bayesian last layer, beating standard GP surrogates on high‑dimensional benchmark and molecular design tasks. Read more: getnews.me/fine-tuning-llms-with-va... #llm #bayesianoptimization #lora

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Symmetry‑Aware Bayesian Optimization Improves Performance with Max Kernels

Symmetry‑Aware Bayesian Optimization Improves Performance with Max Kernels

A PSD‑projected max kernel enables symmetry‑aware Bayesian Optimization to lower cumulative regret on synthetic and real‑world benchmarks without extra cost. Read more: getnews.me/symmetry-aware-bayesian-... #bayesianoptimization #symmetry

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Study Finds Sequence Data Sufficient for Antibody Bayesian Optimization

Study Finds Sequence Data Sufficient for Antibody Bayesian Optimization

Sequence‑only Bayesian optimization matches the affinity of structure‑enhanced models; a protein‑language constraint removes stability gaps. Read more: getnews.me/study-finds-sequence-dat... #bayesianoptimization #antibodydesign #proteinclanguage

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Contextual Neural Moving Horizon Estimation Enhances Quadrotor Control

Contextual Neural Moving Horizon Estimation Enhances Quadrotor Control

The new Contextual NeuroMHE system lets quadrotor drones adapt on‑the‑fly and cuts max position error by 20.3% versus prior methods. Read more: getnews.me/contextual-neural-moving... #quadrotor #bayesianoptimization

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Reasoning BO: Boosting Bayesian Optimization with LLM Reasoning

Reasoning BO: Boosting Bayesian Optimization with LLM Reasoning

Reasoning BO combines large language models with Bayesian optimization, boosting yield on a Direct Arylation reaction from 25.2% to 60.7% and was posted on 26 Sep 2025. Read more: getnews.me/reasoning-bo-boosting-ba... #bayesianoptimization #llm

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Bayesian Optimization Automates Sensor Characterization

Bayesian Optimization Automates Sensor Characterization

Closed-loop Bayesian optimization reduced sensor characterization from a year to a few days, tuning a low‑noise CCD to performance that previously took months of manual effort. getnews.me/bayesian-optimization-au... #bayesianoptimization #sensorcharacterization

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BioBO Boosts Bayesian Optimization for Gene Perturbation Design

BioBO Boosts Bayesian Optimization for Gene Perturbation Design

BioBO, a biology‑informed Bayesian optimization method, improves labeling efficiency by roughly 25%‑40% over standard BO using gene embeddings and enrichment analysis. Read more: getnews.me/biobo-boosts-bayesian-op... #biobo #bayesianoptimization

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AI-Powered CAKE Method Boosts Bayesian Optimization Kernels

AI-Powered CAKE Method Boosts Bayesian Optimization Kernels

CAKE uses LLMs to evolve GP kernels and BAKER ranking; tests on hyper‑parameter tuning, robotics control and photonic chip design show faster convergence. getnews.me/ai-powered-cake-method-b... #bayesianoptimization #ai

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Guided Multi‑Fidelity Bayesian Optimization Improves Controller Tuning

Guided Multi‑Fidelity Bayesian Optimization Improves Controller Tuning

Guided multi‑fidelity Bayesian optimization merges corrected digital‑twin sims with real‑world data, cutting robotic drive trials needed for comparable controller performance. getnews.me/guided-multi-fidelity-ba... #bayesianoptimization #robotics

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Adaptive Bayesian Optimization Improves Sliced Wasserstein Computation

Adaptive Bayesian Optimization Improves Sliced Wasserstein Computation

Bayesian optimization selects projection directions for sliced Wasserstein distance, delivering accurate results. The authors present four new selectors. Read more: getnews.me/adaptive-bayesian-optimi... #bayesianoptimization #slicedwasserstein

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Image: M.H. at META2025, Malaga, 
upcoming presentation: "Physics Informed Bayesian Optimization For Efficient Solution Of Inverse Problems In Nanophotonics"
Abstract: We introduce physics-informed multi-channel Bayesian optimization for inverse design problems in nanophotonics and nanometrology. By learning vector-valued physical properties of numerically simulated systems, from which the final cost is constructed, our approach achieves faster convergence compared to other optimization methods, enhancing efficiency in solving inverse problems across engineering and physics.

Image: M.H. at META2025, Malaga, upcoming presentation: "Physics Informed Bayesian Optimization For Efficient Solution Of Inverse Problems In Nanophotonics" Abstract: We introduce physics-informed multi-channel Bayesian optimization for inverse design problems in nanophotonics and nanometrology. By learning vector-valued physical properties of numerically simulated systems, from which the final cost is constructed, our approach achieves faster convergence compared to other optimization methods, enhancing efficiency in solving inverse problems across engineering and physics.

Martin Hammerschmidt, CEO @JCMwave.bsky.social, presents MODAL-#NanoLab results at the 15th International Conference on Metamaterials, Photonic Crystals and Plasmonics, META 2025, Malaga, Spain, 23 July 2025. #MachineLearning #BayesianOptimization @cnoatzib.bsky.social‬,
Inv Talk in Session 2A10.

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Explaining Bayesian Optimization by Shapley Values Facilitates Human-AI Collaboration Bayesian optimization (BO) with Gaussian processes (GP) has become an indispensable algorithm for black box optimization problems. Not without a dash of irony, BO is often considered a black box itsel...

Read the paper here:
📄 arxiv.org/abs/2403.04629
#MachineLearning #BayesianOptimization #XAI #HumanInTheLoop #Exosuits #ShapleyValues

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Hello Bluesky! Our group @imperialchemeng.bsky.social researches #AI & #ChemicalEngineering. if you are interested, some of our 2024 research is below on:

#ReinforcementLearning 🤖
#BayesianOptimization 📈
#AutomatedModelDiscovery 🔬
#DataDrivenOptimization ⛰️
#ScientificLLMs 🧠
#ReactionPlanning ⚛️

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Christian Stevens et al have unveiled an advanced automated #continuousflow through platform, powered by the Borealis Flow #photoreactor, designed to revolutionize the optimisation of #photocatalytic gas-liquid flow processes.

#BayesianOptimization
#chemsky #flowchemistry #photochemistry

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Model of a Perovskite solar cell with morphocolor color filter coating and optimization results

Model of a Perovskite solar cell with morphocolor color filter coating and optimization results

Optimizing Color Appearance of Perovskite Solar Cells! Congrats @jonasschaible.bsky.social! Collaboration with HZB, @fraunhoferise.bsky.social, @jcmwave.bsky.social, @zuseinstitute.bsky.social published in Solar RRL! #BayesianOptimization #MachineLearning @www.helmholtz.de doi.org/10.1002/solr...

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Notion – The all-in-one workspace for your notes, tasks, wikis, and databases. A new tool that blends your everyday work apps into one. It's the all-in-one workspace for you and your team

We are looking for someone with skills in the areas of
#Reinforcementlearning
#ML4science
#Bayesianoptimization
#Foundationalmodels for #decisionmaking
#RealworldML
More detail here.
fracturedplane.notion.site/Open-PostDoc...

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Here is a good explanation of how Google ML Engine's hyperparameter tuning algorithm works. #BayesianOptimization
cloud.google.com/blog/big-data/2017/08/hy...

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