Bayesian Optimization

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  1. Agentic High-Dimensional Bayesian Optimization with Hypothesis- and Evidence-Guided Search

    Sep 28, 2026Zhixuan Gao, Ke Xue, Rongxi Tan +2Bayesian OptimizationAgentic Optimization

  2. Bayesian Active Learning for Intent Disambiguation in Interactive Robot Planning

    Sep 28, 2026Huao Li, Carson Sobolewski, Augustinos Saravanos +3Robot PlanningAgentic Reasoning

  3. BOReFT: Manifold Steering of Language Models for Black-box Optimization

    Sep 27, 2026Dhruv Agarwal, Rico Angell, Kavitha Srinivas +4Bayesian OptimizationBlack-Box Optimization

  4. MF-SCBO : Multi-fidelity Scalable Constrained Bayesian Optimization

    Sep 24, 2026Lucas Palazzolo, Mickaël Binois, Laëtitia GiraldiMulti-FidelityBayesian Optimization

  5. BOBA: Dynamic Bayesian Optimization through Bayesian Active Inference

    Sep 22, 2026Merlin Angel Kelly, Rishan Patel, Alexander Thomas +4Bayesian OptimizationBlack-Box Optimization

  6. In-Context Guidance: Learning Inter-Task Synergies via Numerical Foundational Models for Few-Shot Multitask Optimization

    Sep 22, 2026Tingyang Wei, Haofeng Wu, Jiao Liu +3Multi--Task LearningMulti-Objective Optimization

  7. Online Automated Algorithm Design with Large Language Models

    Sep 21, 2026Zhiyao Zhang, Yichen Li, Xingyu Wu +2Automated Heuristic DesignBayesian Optimization

  8. JAREX: An Acquisition Function for Multi-Objective Algorithmic Process Characterization

    Sep 21, 2026Xinyang Li, Kevin Stone, Ajit VikramBayesian OptimizationAcquisition

  9. Causal Bayesian Optimization: Foundations, Methods, and Applications

    Sep 21, 2026Chenfeng Huang, Thuy T. Le, Zixuan Ma +1Bayesian OptimizationCausal Inferences

  10. Online Adaptive Kernel Mixing for Gaussian Process Decision Making

    Sep 17, 2026Kavin Aravindan, Mani Tej Sriram, Gautam Dasarathy +1Gaussian ProcessKernel Method

  11. Search at the Cost of Sampling: Nearly-Instant Latent Space Bayesian Optimization

    Sep 16, 2026Donney Fan, Colin Doumont, Aleksandra Kalisz +4Bayesian OptimizationGenerative Models

  12. Bayesian Optimization with Rich Auxiliary Information via LLMs

    Sep 16, 2026Tejus Gupta, Efe Mert Karagözlü, Rohit Sonker +2Bayesian OptimizationOptimization Modeling

  13. A Decade of Bayesian Optimization for Controller Tuning and Robot Learning: Tutorial, Review, and Future Prospects

    Sep 8, 2026David Stenger, Paul Brunzema, Johanna Menn +3Bayesian OptimizationControl Architecture

  14. No-Regret Bayesian Optimization with Finite-Library Input-Warped Kernels

    Sep 2, 2026Edvin Ketabati Augustinsson, Robert A. BridgesBayesian OptimizationGaussian Process

  15. State of Health Estimation using Convolutional and Bidirectional LSTM Neural Networks tuned by Bayesian Optimization

    Aug 31, 2026Panagiotis Eleftheriadis, Foivos Georgios Kyrgios, Sonia LevaCnn-LstmBidirectional Long Short-Term Memory

  16. Enhancing Bayesian Optimization and Active Learning Through Kernel Diversity

    Aug 25, 2026Heng Zhang, Haotian Xiang, Konstantinos D. Polyzos +2Bayesian OptimizationActive Learning

  17. Finding the Needle in a Haystack: Test-Time Analog Circuit Representation Adaptation for Bayesian Optimization

    Aug 13, 2026Fin Amin, Sounak Dutta, Paul D. FranzonBayesian OptimizationAnalog Design

  18. Can Bayesian Optimization Efficiently Find a Strong Single Expert in Neural Thickets?

    Aug 11, 2026Nigel Bastian Cendra, Abdelhamid Ezzerg, Fernando Julio Cendra +2Large Language Model TrainingGradient-Based Optimization

  19. Adaptive KappaSharp: Condition-Number Shaping for Preferential Bayesian Optimization

    Aug 8, 2026Ketong Shao, Jialu Wang, Xuekai Pei +1Bayesian OptimizationHessian

  20. Active Learning Guided Design Space Refinement for Scalable Multi-Objective Bayesian Optimization in Materials Discovery

    Aug 5, 2026Alexandros Ntagiantas, Panagiotis Tsilimidos, George Giannakopoulos +2Bayesian OptimizationData-Driven Materials Discovery

  21. Out-Of-The-Loop Multi-Fidelity Bayesian Optimization

    Aug 4, 2026Gustavo Sutter, Hao Wang, Luis Ricardez-Sandoval +2Multi-FidelityBayesian Optimization

  22. Exploiting Separability in Multi-Scale Grey-Box Bayesian Optimization

    Aug 4, 2026Joshua E. Hammond, Tyler A. Soderstrom, Brian A. Korgel +1Black-Box OptimizationBayesian Optimization

  23. Adaptive Sampling for Automated Post-Disaster Rapid Damage Assessment via Level-Set Cost-Aware Bayesian Optimization

    Aug 3, 2026Boyang Xu, Mostafa Reisi Gahrooei, Mohammad Ilbeigi +1Post-Disaster Damage AssessmentDisaster Response

  24. DASH: Decoupled Adaptive Surrogate - Acquisition Harness for Automated Bayesian Optimization

    Aug 1, 2026Changquan Zhao, Yuxiang Sun, Ruihao Zhu +2Bayesian OptimizationSurrogates

  25. BayesSeg: A Bayesian Optimization Framework for State Segmentation of Electricity Consumption Time Series

    Aug 1, 2026Zhenya Zhang, Wendi Zhu, Ping Wang +2Bayesian OptimizationPac-Bayesian Theory

  26. Agentic Bayesian Optimization through Surrogate-Augmented Autoresearch

    Jul 31, 2026Paul Brunzema, Louis Tiao, Nhat Le +3Bayesian OptimizationAgentic Optimization

  27. Frugal Bayesian Optimization: Scalable Surrogates for Data- and Resource-Limited Discovery

    Jul 31, 2026Panagiotis Krokidas, Christoforos Rekatsinas, Vassilis Sioros +3Bayesian OptimizationSurrogate Models

  28. Robust Wavelength Selection for Partial Least Squares Sugar Content Estimation Using Combinatorial Bayesian Optimization

    Jul 30, 2026Mitsunobu Kanebako, Ami S. Koshikawa, Masaru Hitomi +4Least SquaresLaser-Induced Breakdown Spectroscopy

  29. Efficient Heteroscedastic Bayesian Optimization for Risk-Aware AutoRL

    Jul 29, 2026Mingxuan Che, Tsung-Yuan Tseng, Theresa Eimer +2Multi-Objective Bayesian Optimization AlgorithmsBayesian Optimization

  30. Constraint-Bound Agnostic Bayesian Optimization: One Model for All Thresholds

    Jul 26, 2026Jin Wang, Xi Lin, Handing WangBayesian OptimizationConstrained Optimization

  31. NeurGO: Learning to Generate Elite Candidates for Meta-Black-Box Expensive Optimization

    Jul 26, 2026Jintao He, Huixiang Zhen, Wenyin GongBlack-Box OptimizationBayesian Optimization

  32. Transfer Learning Architectures for Scalable Multi-Fidelity Bayesian Optimization

    Jul 26, 2026Jaewook Lee, Ethan Errington, Christian D. Lorenz +1Bayesian OptimizationGaussian Process

  33. Optimization of time-consuming experimental conditions using pseudo-experimental data guided by adaptive polynomial regression

    Jul 24, 2026Hirotaka Sugawara, Yujin Taguchi, Kei Minagawa +3Bayesian OptimizationSurrogate Models

  34. Reliability-Aware Bayesian Optimization of 1310 nm PCSELs with FDTD Verification

    Jul 23, 2026Jinglin Yu, Feiyang Wu, Longying Wen +3NanophotonicBayesian Optimization

  35. Expert-Guided Forecast Editing for Time-Series Foundation Models

    Jul 22, 2026Hung Le, Minh Hoang Nguyen, Manh Nguyen +2Time Series Foundation ModelsData-Driven Forecasting

  36. Agentic Calibration of Grey-Box Simulation Models: An LLM-Driven Alternative

    Jul 17, 2026David Gómez-Guillén, Mireia Diaz, Josep Lluis Arcos +1User SimulationBayesian Optimization

  37. Collaborative Spatial Learning with Multi-LLM Agents in Networked Social Experiments

    Jul 16, 2026Hao He, Chris J. Kuhlman, Xinwei DengMulti-Llm AgentsBringing Network Coding

  38. Maximally Robust Satisficing Bayesian Optimization

    Jul 15, 2026Samuli Kinnunen, Petrus Mikkola, Antti Niskanen +1Bayesian OptimizationRobust Optimization

  39. Privacy-Aware Collaborative and Distributed Bayesian Optimization

    Jul 13, 2026Aditya Rane, Sathwik Yamana, Paritosh Ramanan +2Decentralized OptimizationBayesian Optimization

  40. tidyHEBO: Robust General-Purpose Bayesian Optimization with Model-Consistent Warping and Pareto Search

    Jul 12, 2026L. A. Zhukov, E. V. Shaburova, D. V. AntonetsBayesian OptimizationStationarity

  41. Bayesian Optimization of Genetic Algorithm Hyperparameters in a Multi-Fidelity Framework for Efficient Lattice Material Design

    Jul 8, 2026Sergei Zorkaltsev, Maciej Haranczyk, Christina SchenkBayesian OptimizationMulti-Fidelity

  42. Safe Bayesian Optimization with Counterfactual Policies

    Jul 6, 2026Katherine Avery, Bruno Castro da Silva, David JensenBayesian OptimizationSafety Constraints

  43. How Many Initial Points Does Bayesian Optimization Need?

    Jul 5, 2026Mujin Cheon, James Odgers, Dong-Yeun Koh +1Bayesian OptimizationThompson Sampling

  44. Sample-Efficient Pareto Front Modeling for Energy-Aware Reinforcement Learning Using Bayesian Optimization

    Jul 3, 2026Georg Schäfer, Jakob Rehrl, Stefan Huber +1Multi-Objective Reinforcement LearningEnergy-Efficient

  45. B3O: Scalable Boltzmann Batch Bayesian Optimization

    Jun 29, 2026Maximilian Bloor, Liyuan Xu, Hrvoje Stojic +1Bayesian Optimization

  46. BOWConnect: Parallel Bayesian Optimization over Windows with Learned Local Cost Maps for Sample-Efficient Kinodynamic Motion Planning

    Jun 25, 2026Sourav Raxit, Abdullah Al Redwan Newaz, Jose Fuentes +1PlanningBayesian Optimization

  47. GRIMIP: A General Framework for Instance-Specific Configuration of MIP Solvers Using LLMs

    Jun 22, 2026Yidong Luo, Xuemin Chen, Chenguang Wang +3Mixed-Integer ProgrammingOptimization Modeling

  48. SVGym (SciVerseGym): An Environment for Reinforcement Learning and Bayesian Optimization in Crystal Discovery

    Jun 21, 2026Bin CaoCrystalData-Driven Materials Discovery

  49. A Human-in-the-Loop Bayesian Optimization Framework for Constraint-Aware Bioprocess Development

    Jun 17, 2026Samuel Stricker, Claus Wirnsperger, Alessandro Butté +4Bayesian OptimizationPareto Frontier

  50. Range-Aware Bayesian Optimization for Discovering Diverse Designs within Target Property Windows

    Jun 10, 2026Shengli Jiang, Jason Wu, Charles M. Schroeder +1Multi-Objective Bayesian Optimization AlgorithmsBayesian Optimization

  51. Bayesian Optimization for Learning Nonlinear MPC in Autonomous Agent Navigation

    Jun 8, 2026Lorenzo Ortolani, Gabriel Voss, Gabriele Beltrami +2Autonomous NavigationModel Predictive Control

  52. In-Context Learning for Latent Space Bayesian Optimization

    Jun 8, 2026Tuan A. Vu, Harri Lähdesmäki, Julien MartinelliBayesian OptimizationMolecular Optimization

  53. Bayesian Optimization of a Multi-Product Chemical Reactor Using Composite Models and Partial Physics Knowledge

    Jun 7, 2026Liqiu Dong, Marta Zagórowska, Mehmet MercangözChemical Process SystemsBayesian Optimization

  54. Improving Bayesian Optimization via Training-Aware Conditional Diffusion Models

    Jun 7, 2026Yilin Zheng, Haowei Wang, Szu Hui Ng +1Bayesian OptimizationText-Conditioned Diffusion Model

  55. αα-PFN: Fast Entropy Search via In-Context Learning

    Jun 5, 2026Herilalaina Rakotoarison, Steven Adriaensen, Tom Viering +4Bayesian OptimizationSearch Algorithms

  56. Local Preferential Bayesian Optimization

    Jun 1, 2026Johanna Menn, Miriam Kober, Paul Brunzema +2Multi-Objective Bayesian Optimization AlgorithmsBayesian Optimization

  57. Transferring Information Across Interventions in Causal Bayesian Optimization

    May 31, 2026Mohammad Ali JavidianBayesian OptimizationCausal Representation Learning