A new arXiv paper tackles Bayesian optimization over discrete spaces by combining a pretrained generative model with a data-space surrogate, letting acquisition functions guide candidate sampling directly. This…
#BayesianOptimization #GenAI #Prompting #MLresearch
https://arxiv.org/abs/2610.22763
#BayesianOptimization #GenAI #Prompting #MLresearch
https://arxiv.org/abs/2610.22763
October 19, 2026 at 6:01 PM
A new arXiv paper tackles Bayesian optimization over discrete spaces by combining a pretrained generative model with a data-space surrogate, letting acquisition functions guide candidate sampling directly. This…
#BayesianOptimization #GenAI #Prompting #MLresearch
https://arxiv.org/abs/2610.22763
#BayesianOptimization #GenAI #Prompting #MLresearch
https://arxiv.org/abs/2610.22763
Ever wonder if LLMs can truly grasp physics? New study pits physics‑labeled prompts against four ablations & optimizers—Bayesian, CMA‑ES, Nelder‑Mead to see who calibrates best. Dive in! #LLMCalibration #PhysicsPrompts #BayesianOptimization
🔗 aidailypost.com/news/physics...
🔗 aidailypost.com/news/physics...
October 19, 2026 at 4:34 AM
Ever wonder if LLMs can truly grasp physics? New study pits physics‑labeled prompts against four ablations & optimizers—Bayesian, CMA‑ES, Nelder‑Mead to see who calibrates best. Dive in! #LLMCalibration #PhysicsPrompts #BayesianOptimization
🔗 aidailypost.com/news/physics...
🔗 aidailypost.com/news/physics...
Agentic-MatriBO is a new agentic Bayesian optimization framework that uses LLMs to propose BO recipes for materials and chemical design under limited evaluation budgets. The system compiles proposals…
#AIResearch #BayesianOptimization #MaterialsScience #LLMs
https://arxiv.org/abs/2610.17832
#AIResearch #BayesianOptimization #MaterialsScience #LLMs
https://arxiv.org/abs/2610.17832
October 15, 2026 at 8:01 PM
Agentic-MatriBO is a new agentic Bayesian optimization framework that uses LLMs to propose BO recipes for materials and chemical design under limited evaluation budgets. The system compiles proposals…
#AIResearch #BayesianOptimization #MaterialsScience #LLMs
https://arxiv.org/abs/2610.17832
#AIResearch #BayesianOptimization #MaterialsScience #LLMs
https://arxiv.org/abs/2610.17832
New arXiv work proposes contextual Bayesian optimization for joint parameter learning in hierarchical humanoid loco-manipulation control, keeping separate observations of task performance, realization…
#robotics #bayesianoptimization #humanoidrobots #control
https://arxiv.org/abs/2610.04609
#robotics #bayesianoptimization #humanoidrobots #control
https://arxiv.org/abs/2610.04609
October 7, 2026 at 12:01 AM
New arXiv work proposes contextual Bayesian optimization for joint parameter learning in hierarchical humanoid loco-manipulation control, keeping separate observations of task performance, realization…
#robotics #bayesianoptimization #humanoidrobots #control
https://arxiv.org/abs/2610.04609
#robotics #bayesianoptimization #humanoidrobots #control
https://arxiv.org/abs/2610.04609
🎉 Excited to share that our paper "OptiMer: Optimal Distribution Vector Merging Is Better than Data Mixing for Continual Pre-Training" has been accepted to EMNLP 2026 Main! See you in Budapest!
📄 Paper: arxiv.org/abs/2603.28858
#EMNLP2026 #ModelMerging #ContinualPretraining #BayesianOptimization
📄 Paper: arxiv.org/abs/2603.28858
#EMNLP2026 #ModelMerging #ContinualPretraining #BayesianOptimization
OptiMer: Optimal Distribution Vector Merging Is Better than Data Mixing for Continual Pre-Training
Continual pre-training is widely used to adapt LLMs to target languages and domains, yet the mixture ratio of training data remains a sensitive hyperparameter that is expensive to tune: they must be f...
arxiv.org
September 15, 2026 at 5:24 AM
🎉 Excited to share that our paper "OptiMer: Optimal Distribution Vector Merging Is Better than Data Mixing for Continual Pre-Training" has been accepted to EMNLP 2026 Main! See you in Budapest!
📄 Paper: arxiv.org/abs/2603.28858
#EMNLP2026 #ModelMerging #ContinualPretraining #BayesianOptimization
📄 Paper: arxiv.org/abs/2603.28858
#EMNLP2026 #ModelMerging #ContinualPretraining #BayesianOptimization
Checkout Dreams Die - Growth Hacking Stops
https://marketgrid.xyz/checkout-dreams-die-growth-hacking-stops/?utm_source=bluesky&utm_medium=social
#bayesianoptimization #abtesting #checkoutoptimization
https://marketgrid.xyz/checkout-dreams-die-growth-hacking-stops/?utm_source=bluesky&utm_medium=social
#bayesianoptimization #abtesting #checkoutoptimization
August 28, 2026 at 5:20 AM
Checkout Dreams Die - Growth Hacking Stops
https://marketgrid.xyz/checkout-dreams-die-growth-hacking-stops/?utm_source=bluesky&utm_medium=social
#bayesianoptimization #abtesting #checkoutoptimization
https://marketgrid.xyz/checkout-dreams-die-growth-hacking-stops/?utm_source=bluesky&utm_medium=social
#bayesianoptimization #abtesting #checkoutoptimization
T. W. Morris et al.: A general Bayesian algorithm for the autonomous alignment of beamlines ##BayesianOptimization##AutomatedAlignment##SynchrotronRadiation@BrookhavenLab@BerkeleyLab@stonybrooku@radiasoft...##IUCrhttps://journals.iucr.org/paper?S1600577524008993
A general Bayesian algorithm for the autonomous alignment of beamlines
Automated alignment methods have the potential to accelerate greatly the efficiency of experiments done at synchrotron facilities and are an important step towards fully autonomous beamlines. Presented here is a general implementation of Bayesian optimization that performs well on many beamlines across different facilities.
journals.iucr.org
October 29, 2024 at 1:00 AM
T. W. Morris et al.: A general Bayesian algorithm for the autonomous alignment of beamlines ##BayesianOptimization##AutomatedAlignment##SynchrotronRadiation@BrookhavenLab@BerkeleyLab@stonybrooku@radiasoft...##IUCrhttps://journals.iucr.org/paper?S1600577524008993
Meta releases Ax 1.0 for automated machine learning optimization #Meta #MachineLearning #ArtificialIntelligence #BayesianOptimization #OpenSource
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.
ppc.land
November 18, 2025 at 6:39 PM
Meta releases Ax 1.0 for automated machine learning optimization #Meta #MachineLearning #ArtificialIntelligence #BayesianOptimization #OpenSource
Meta releases Ax 1.0 for automated machine learning optimization #Meta #MachineLearning #ArtificialIntelligence #BayesianOptimization #OpenSource
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.
ppc.land
November 18, 2025 at 6:38 PM
Meta releases Ax 1.0 for automated machine learning optimization #Meta #MachineLearning #ArtificialIntelligence #BayesianOptimization #OpenSource
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
#BayesianOptimization
#chemsky #flowchemistry #photochemistry
January 14, 2025 at 7:25 AM
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
#BayesianOptimization
#chemsky #flowchemistry #photochemistry
Read the paper here:
📄 arxiv.org/abs/2403.04629
#MachineLearning #BayesianOptimization #XAI #HumanInTheLoop #Exosuits #ShapleyValues
📄 arxiv.org/abs/2403.04629
#MachineLearning #BayesianOptimization #XAI #HumanInTheLoop #Exosuits #ShapleyValues
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...
arxiv.org
June 10, 2025 at 1:01 PM
Read the paper here:
📄 arxiv.org/abs/2403.04629
#MachineLearning #BayesianOptimization #XAI #HumanInTheLoop #Exosuits #ShapleyValues
📄 arxiv.org/abs/2403.04629
#MachineLearning #BayesianOptimization #XAI #HumanInTheLoop #Exosuits #ShapleyValues
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.
Inv Talk in Session 2A10.
July 22, 2025 at 11:35 AM
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.
Inv Talk in Session 2A10.
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...
🔗 @chemrxiv.org : chemrxiv.org/engage/chemr...
January 5, 2026 at 9:29 AM
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...
🔗 @chemrxiv.org : chemrxiv.org/engage/chemr...
Last yesr, we showed that Bayesian optimization (BO) can work alongside an experienced researcher to not only optimize nanoparticle synthesis but to potentially find new knowledge too.
See the thread x.com/anishrao95/s...
This year, we push BO further - this time for design!
See the thread x.com/anishrao95/s...
This year, we push BO further - this time for design!
February 28, 2025 at 12:16 PM
Last yesr, we showed that Bayesian optimization (BO) can work alongside an experienced researcher to not only optimize nanoparticle synthesis but to potentially find new knowledge too.
See the thread x.com/anishrao95/s...
This year, we push BO further - this time for design!
See the thread x.com/anishrao95/s...
This year, we push BO further - this time for design!
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
www.mdpi.com/2673-4591/12...
By Sitong Liu et al.
From the European Navigation Conference 2025
#ARAIM #GNSS #Integrity #BayesianOptimization
www.mdpi.com
February 24, 2026 at 11:45 AM
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
www.mdpi.com/2673-4591/12...
By Sitong Liu et al.
From the European Navigation Conference 2025
#ARAIM #GNSS #Integrity #BayesianOptimization
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...
#Reinforcementlearning
#ML4science
#Bayesianoptimization
#Foundationalmodels for #decisionmaking
#RealworldML
More detail here.
fracturedplane.notion.site/Open-PostDoc...
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
fracturedplane.notion.site
August 2, 2024 at 3:40 PM
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...
#Reinforcementlearning
#ML4science
#Bayesianoptimization
#Foundationalmodels for #decisionmaking
#RealworldML
More detail here.
fracturedplane.notion.site/Open-PostDoc...
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. https://getnews.me/quantile-scaled-bayesian-optimization-for-rank-only-feedback/ #bayesianoptimization #rankfeedback
October 8, 2025 at 7:23 AM
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. https://getnews.me/quantile-scaled-bayesian-optimization-for-rank-only-feedback/ #bayesianoptimization #rankfeedback
CCGBO, the method, assigns credit to past observations, achieving a sublinear regret bound and lower simple regret on benchmarks, with fewer evaluations. https://getnews.me/counterfactual-credit-guided-bayesian-optimization-advances-efficient-search/ #bayesianoptimization #counterfactualcredit
October 8, 2025 at 3:45 AM
CCGBO, the method, assigns credit to past observations, achieving a sublinear regret bound and lower simple regret on benchmarks, with fewer evaluations. https://getnews.me/counterfactual-credit-guided-bayesian-optimization-advances-efficient-search/ #bayesianoptimization #counterfactualcredit
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: https://getnews.me/fine-tuning-llms-with-variational-bayesian-for-high-dim-optimization/ #llm #bayesianoptimization #lora
October 3, 2025 at 8:19 PM
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: https://getnews.me/fine-tuning-llms-with-variational-bayesian-for-high-dim-optimization/ #llm #bayesianoptimization #lora
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: https://getnews.me/symmetry-aware-bayesian-optimization-improves-performance-with-max-kernels/ #bayesianoptimization #symmetry
October 1, 2025 at 6:49 AM
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: https://getnews.me/symmetry-aware-bayesian-optimization-improves-performance-with-max-kernels/ #bayesianoptimization #symmetry
Sequence‑only Bayesian optimization matches the affinity of structure‑enhanced models; a protein‑language constraint removes stability gaps. Read more: https://getnews.me/study-finds-sequence-data-sufficient-for-antibody-bayesian-optimization/ #bayesianoptimization #antibodydesign #proteinclanguage
October 1, 2025 at 1:18 AM
Sequence‑only Bayesian optimization matches the affinity of structure‑enhanced models; a protein‑language constraint removes stability gaps. Read more: https://getnews.me/study-finds-sequence-data-sufficient-for-antibody-bayesian-optimization/ #bayesianoptimization #antibodydesign #proteinclanguage
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: https://getnews.me/contextual-neural-moving-horizon-estimation-enhances-quadrotor-control/ #quadrotor #bayesianoptimization
September 30, 2025 at 7:34 PM
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: https://getnews.me/contextual-neural-moving-horizon-estimation-enhances-quadrotor-control/ #quadrotor #bayesianoptimization
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: https://getnews.me/reasoning-bo-boosting-bayesian-optimization-with-llm-reasoning/ #bayesianoptimization #llm
September 29, 2025 at 9:21 PM
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: https://getnews.me/reasoning-bo-boosting-bayesian-optimization-with-llm-reasoning/ #bayesianoptimization #llm
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. https://getnews.me/bayesian-optimization-automates-sensor-characterization/ #bayesianoptimization #sensorcharacterization
September 29, 2025 at 5:42 PM
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. https://getnews.me/bayesian-optimization-automates-sensor-characterization/ #bayesianoptimization #sensorcharacterization