#BayesianOptimization

Excited to see our few shot #BayesianOptimization for #DrugDiscovery algorithm ProfBO is being featured in our co-author Prof. @KChoNYC's KeyNote Talk at @NeurIPSConf-2025! ArXiv:

I'm thrilled to share our work @sigopt "Beyond the Pareto Efficient Frontier: Constraint Active Search for Multiobjective Experimental Design" tomorrow in #ICML2021! Details: Blog: Paper: 👇🧵1/5

We developed an active learning formulation to further accelerate intelligent experimentation: constraint active search (CAS). Idea: explore parameter configurations that satisfy user-defined objective constraints. CAS is like Bayesian Optimization + Experimental Design 🧵3/5

Why "beyond the Pareto Frontier''? In single-objective #BayesianOptimization, we talk about searching for x = argmax f(x), where x is the parameters/design configurations. Multi-obj BO does not focus on the parameters/designs, but CAS does! Paper: 🧵4/5

Curious about how to optimize complex, noisy, and expensive-to-evaluate systems in your #SignalProcessing projects?🤔 Discover the power of #BayesianOptimization in my latest blog post on @IEEEsps!

Paper Sharing 😉 Mapping pareto fronts for efficient multi-objective materials discovery From Prof. Kedar Hippalgaonkar's group from Nanyang Technological University #BayesianOptimization, #EvolutionaryAlgorithm, #MaterialsScience

📣Deal of the Day📣 June 7 45% off TODAY ONLY! Bayesian Optimization in Action & selected titles: @the_subtrahend #ML You'll get in-depth insights into how #Bayesianoptimization works & learn how to implement it with cutting-edge #Python libraries.

A lot of beautiful #firsts today: the first #BayesianOptimization technique applied to large sequences, the first #CausalBayesian optimization technique on large #sequences, and finally --first application to switching binding properties of #TCell #repertoire sequences 1/n

The #AISTATS2023 @aistats_conf work of @insebtion @qphong @bryanklow proposes a sample-efficient no-regret #BayesianOptimization algo for finding #NashEquilibrium in general-sum games w. unknown payoffs. Paper: Poster: Thu 27 Apr 2-4:30pm Aud 1 Foyer 132

🚀 Highly viewed in MAKE: Bayesian Optimization Using Simulation-Based Multiple Information Sources over Combinatorial Structures 📄 Read here: @ComSciMath_Mdpi #BayesianOptimization #CombinatorialOptimization

I just created a curated GitHub repository of awesome Bayesian optimization resources. Check it out and feel free to contribute: #BayesianOptimization #MachineLearning

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 of the best candidates. @ChemRxiv:

The #NeurIPS2023 @NeurIPSConf work of @insebtion chuan-sheng daisuke richalynn proposes a no-regret #BayesianOptimization algo. where in each iter., it chooses a subset of query variables & specifies their values (with an associated cost) while the rest are randomly sampled.

The @icmlconf #ICML2024 work of @ZhiliangChen94 chuan-sheng presents A-BAD-BO to solve the AutoAI problem of optimizing an ML system with blackbox and differentiable ML components. #BayesianOptimization Poster Session 5 Thu 25 Jul 11:30AM Hall C 4-9 #1016

BIOVIA Pipeline Pilot uniquely empowers non-coding scientists to leverage advanced ML techniques. Learn how Gregory Price, Ph.D. used #PipelinePilot to extract and process data from BIOVIA Notebook #ELN and ran the #BayesianOptimization code:

In our latest blog post, AWS principal applied scientist @cedapprox discusses “Automatic termination for hyperparameter optimization”, which won best paper at the first International Conference on Automated Machine Learning (AutoML). #BayesianOptimization

🚀 Honored to host Bojana from @SchwallerGroup at GreenDynamics this week for our GD AI Seminar Series! She gave an inspiring talk on reframing Large Language Models as Bayesian optimizers for chemical discovery. 👏 Huge thanks to Bo #AI #LLM #BayesianOptimization #ChemistryAI

Curious about using #BayesianOptimization to calibrate Multi-agent Systems? Check out our paper “Parallel Bayesian Optimization of Agent-based Transportation Simulation” arXiv: Code: Wiki:

The #ICLR2023 work of @ZCODE0 @Dai_Zh weicong @arun_v3rma @pjaillet @bryanklow proposes a query-efficient Zeroth-Order Optimization algo w. trajectory-informed derivative est. #BayesianOptimization #GaussianProcess Paper: Present:

#Research "Bayesian Optimization for Ternary Complex Prediction (BOTCP)" By Rao et al, Available on @AILSCI! 🔗Find out more here #AI #BayesianOptimization #ActiveLearning #TernaryComplex #Prediction #ProteinDegradation #cheminformatics #compchem

Excited to visit @USC CS Department on Feb 10th, and give a talk on recent advances from my @UAlbany lab on accelerated #BayesianOptimization for #DrugDiscovery! I'd like to deeply thank Prof. @YanLiu_USC for hosting my visit and all participants for the fruitful discussions!

This week @baaadas will talk about "A General Recipe for Likelihood-free Bayesian Optimization" at the AutoML seminar (Thursday October 6th 4pm CEST), which is a great way to scale #BayesianOptimization to high dimensional search spaces.