#bayesianoptimization search results
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: arxiv.org/abs/2511.01006
Postdoc & RA positions in #AutoML #ActiveLearning #BayesianOptimization #NeuralArchitectureSearch #ReinforcementLearning #MultiAgentRL #AutoRL @NUSComputing See groups.google.com/u/2/g/ml-news/… #ICLR2023 #AAAI2023 #IJCAI2023 #UAI2023 #AISTATS2023 #NeurIPS2023 Meet me @ #ICML2023
If you want to understand #BayesianOptimization, watch Coen Brother's All Gold Canyon, part of their anthology film the Ballad of Buster Scruggs. #AI #ML #machinelearning #artificialintelligence #yapayzeka #makineogrenmesi
Congrats!!! to @qphong @Dai_Zh @ZCODE0 @WuZhaoxuan @bryanklow @pjaillet for their accepted papers on #BayesianOptimization #NeuralArchitectureSearch #ShapleyValue #FederatedLearning #DataValuation at #NeurIPS2022:
The #ICML2021 paper of rachael yehong @bryanklow @pjaillet proposes #Fairness in Collaborative #BayesianOptimization. Paper: proceedings.mlr.press/v139/sim21b.ht… Check us out @ icml.cc/virtual/2021/s…
Congrats!!! to @Dai_Zh @ZCODE0 @CYZ798775190 Haibin @bryanklow @pjaillet for their accepted papers on #BayesianOptimization #MetaLearning #NeuralArchitectureSearch at #UAI2022:
Exploring the Conformers of an Organic Molecule on a Metal Cluster with #BayesianOptimization #cheminformatics pubs.acs.org/doi/10.1021/ac… Vol63 Issue3 #JCIM #MachineLearning #DeepLearning
Batched #BayesianOptimization for #DrugDesign in Noisy Environments #copmchem pubs.acs.org/doi/10.1021/ac… #current_issue #JCIM #MachineLearning #DeepLearning
Postdoc & RA positions in Learning with Less Data: #AutoML pipeline #ActiveLearning #BayesianOptimization #NeuralArchitectureSearch @NUSComputing See groups.google.com/u/2/g/ml-news/… #ICML2023 #ICLR2023 #AAAI2023 #IJCAI2023 #UAI2023 #AISTATS2023 Meet me @ #NeurIPS2022
Congrats!!! to @arun_v3rma @Dai_Zh Lucas @michael_xinyi @WuZhaoxuan @ZCODE0 @insebtion chuan-sheng @bryanklow for their accepted papers on #BayesianOptimization #ShapleyValue #FederatedLearning #DataValuation #NeuralTangentKernel at #ICML2022:
Congrats @chi_thanh_lam @michael_xinyi @insebtion weicong @WuZhaoxuan @Flint_xf_Fan @qphong @Dai_Zh @ZCODE0 @arun_v3rma chuan-sheng @pjaillet. Accepted papers @ #AISTATS2023 #ICLR2023: Zeroth-Order Optimization #BayesianOptimization #ActiveLearning #FederatedLearning #AI4Science
Congrats!!! to @qphong zhaoxuan @pjaillet for their accepted papers on #BayesianOptimization #MetaLearning at #UAI2021:
The accepted paper of @qphong at #AAAI2021 presents an information-theoretic framework to unify #BayesianOptimization (BO) and implicit level set estimation problems with interesting connections to GP-UCB and max-value entropy search in BO.
Congrats!!! to rachael yehong @qphong @Dai_Zh @chi_thanh_lam @nghiaht87 @pjaillet for their accepted papers on #BayesianOptimization #MetaLearning #FederatedLearning at #ICML2021:
Congrats!!! to @Dai_Zh xiaofeng @qphong @michael_xinyi @WuZhaoxuan cheston chuan-sheng @pjaillet for their accepted papers on #BayesianOptimization #ReinforcementLearning #DifferentialPrivacy #FederatedLearning #DataValuation at #NeurIPS2021:
The #ICLR2024 @iclr_conf work of @qphong ruth, song le @pjaillet considers constrained #BayesianOptimization in the decoupled setting, with application to quantum circuit design. openreview.net/forum?id=D4NJF… Poster Session 1 May 7 Tue 10:45AM Halle B #165
The #NeurIPS2023 @NeurIPSConf work of @Dai_Zh @greglau @arun_v3rma @pjaillet shows that with the help of quantum computing, our Q-GP-UCB algorithm improves the regret of #BayesianOptimization to the order of O(polylog T) which is smaller than the classical regret lower bound.
🚀 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
Now What Sequence? Pre-trained Ensembles for Bayesian Optimization of Protein Sequences Yang et al.: biorxiv.org/content/10.110… #ArtificialIntelligence #BayesianOptimization #DeepLearning
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