Bayesian Experimental Design

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  1. Incentive Alignment in Online Experimentation

    Oct 5, 2026{Ermis Soumalias, Richard Mudd, Abbas ZaidiIncentivesBayesian Experimental Design

    Meta Platforms, Inc.

  2. MECHVAR: Variance-Guided Mechanism Discrimination for Autonomous Machine Learning Experiment Selection

    Oct 1, 2026Yifan GuoMle-Bench LiteBayesian Experimental Design

    Stony Brook University

  3. Experimental Experience Modeling for Autonomous Research

    Sep 30, 2026Wenda Wei, Yingchen Zhang, Ruqing Zhang +3Bayesian Experimental DesignPrioritized Experience Replay

    State Key Laboratory of AI Safety · Institute of Computing Technology, Chinese Academy of Sciences · University of Chinese Academy of Sciences +1

  4. Decision-Focused Active Learning for Scale-Aware Critical-Materials Recovery

    Sep 10, 2026Niranjan Srinivas, Debajyoti Ray, Elias NakouziActive LearningBayesian Experimental Design

    Coactive Inc. · Pacific Northwest National Laboratory

  5. Resolution-Aware Experimental Design under Partial Identifiability

    Sep 3, 2026Sofianos Panagiotis FotiasBayesian Experimental DesignIdentifiability

    National Technical University of Athens

  6. Chance-constrained selection of sequential intervention strategies from counterfactual estimates

    Aug 13, 2026Minkyoung Kim, Beakcheol JangSequential Decision MakingTreatment Allocation

    Graduate School of Information, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Republic of Korea

  7. Model Discovery Agent: LLM-assisted Bayesian experiment design for data-efficient discovery of mechanistic world models

    Aug 10, 2026Kevin MurphyModel DiscoveryAgentic Discovery

    Dept. Computer Science Univ. British Columbia, Canada.

  8. Target-Weighted Neyman Allocation: Experimental Design for Heterogeneous Treatment Effects under Population Shift

    Aug 6, 2026Hoang Dang, Luan Pham, Minh NguyenHeterogeneous Treatment EffectsBayesian Experimental Design

    Independent Researcher · University of New South Wales, Australia · Florida Atlantic University, USA

  9. Bayesian Expected Uncertainty Reduction (B-EUR) Model: A Computational Account of What Makes Design Options Worth Trying

    Aug 6, 2026Shimon Honda, Takuma Miyaguchi, Koji Koizumi +3Dynamic Epistemic LogicBayesian Experimental Design

    Department of Mechanical Engineering, Graduate School of Engineering, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan · Laboratoire Conception de Produits et Innovation (LCPI), Arts et M´etiers ParisTech, 151 Boulevard de l’Hˆopital, 75013 Paris, France

  10. Thermalizing Stochastic Programs

    Aug 3, 2026Mirko Amico, Andraž Jelinčič, Colin Oscar Nancarrow +6StochasticStochastic Optimization

    Extropic Corporation, San Francisco, California 94111, USA · CUNY Graduate Center, New York, NY, USA

  11. Identifying Informative Environments for Cognition Parameter Inference via Bayesian Experimental Design

    Jul 30, 2026Manisha Dubey, Rimvydas Rubavicius, N. Siddharth +1Bayesian Experimental DesignPosterior

    School of Informatics, University of Edinburgh, United Kingdom

  12. Retrospective Orthogonal Design: Response-Surface Reconstruction from Observational Data

    Jul 28, 2026Lawrence Fulton, Christopher Fulton, Arvind Sharma +1Bayesian Experimental DesignSurface Reconstruction

    Applied Analytics, Boston College · United States Air Force Test Pilot School, Edwards Air Force Base

  13. Deep Adaptive Bayesian Screening

    Jul 18, 2026Jade Lejeune Herman, Arno Strouwen, Johan A. K. Suykens +1Bayesian Experimental DesignScreening

    Mechatronics, Biostatistics and Sensors (MeBioS) · KU Leuven · Kasteelpark Arenberg 30, B-3001 Leuven (Heverlee) +3

  14. Robust Bayesian Decision Making under Adversarial Uncertainty

    Jul 9, 2026Haripriya Harikumar, Sammie Katt, Yasir Zubayr Barlas +1Bayesian Experimental DesignUncertainty-Aware Classification

    Department of Computer Science, The University of Manchester, UK · ELLIS Institute Finland · Department of Computer Science, Aalto University, Espoo, Finland

  15. Bayesian Experimental Design via Score Matching

    Jul 9, 2026Angus Phillips, Gavin Kerrigan, Tom RainforthBayesian Experimental DesignBayesian Neural Networks

    Department of Statistics, University of Oxford

  16. The Approximation Ratio for the Risk of Myopic Bayesian Active Learning for Linear Regression

    Jul 7, 2026Stephen MussmannPool-Based Active LearningActive Learning

    School of Computer Science Georgia Institute of Technology

  17. Amortising Bayesian Experimental Design for Sequential Information Gathering in LLMs

    Jul 3, 2026Jakob Hartmann, James Harvey, Jhonathan Navott +5Inference CostBayesian Experimental Design

    University of Oxford, Oxford, United Kingdom · 2Ellison Institute of Technology, Oxford, United Kingdom

  18. Transformers as Bayesian In-Context Experimenters: Smoothness-Adaptive Efficient ATE Estimation

    Jun 30, 2026Jiachun Li, David Simchi-LeviBayesian Experimental DesignHeterogeneous Treatment Effects

    Laboratory for Information and Decision Systems, MIT

  19. Action-BED: Task-Driven Bayesian Experimental Design with Singly Intractable Objectives

    Jun 22, 2026Tom Rossa, Angus Phillips, Tom RainforthBayesian Experimental DesignBayesian

    Department of Statistics University of Oxford

  20. FairBED: A Bayesian Experimental Design Approach to Gathering Fairer Data

    Jun 22, 2026Marcel Hedman, Emily Alger, Brieuc Lehmann +2Algorithmic FairnessBayesian Experimental Design

    Department of Statistics University of Oxford · Department of Statistical Science University College London

  21. Inverse Critical Experiment Design via Gradient Optimization and a Multigroup Attention-Based Neural Network Architecture

    Jun 1, 2026Will Savage, Logan Burnett, Dean PriceNuclear FusionGenerative Inverse Design

    Department of Nuclear Science and Engineering, Massachusetts Institute of Technology, 60 Vassar St., Cambridge, 02139, MA, US

  22. ShaplEIG: Bayesian Experimental Design for Shapley Value Estimation

    Jun 1, 2026David Rundel, Fabian Fumagalli, Maximilian Muschalik +2Shapley ValueBayesian Experimental Design

    Department of Statistics, LMU Munich, Munich, Germany · Munich Center for Machine Learning, Munich, Germany · Institute for Informatics, LMU Munich, Munich, Germany +2

  23. CA-BED: Conversation-Aware Bayesian Experimental Design

    May 31, 2026Daniel Arnould, Rashad Aziz, Zixuan Kang +5QuestionBayesian Experimental Design

  24. Constrained Bayesian Experimental Design via Online Planning

    May 26, 2026Yujia Guo, Daolang Huang, Xinyu Zhang +3Bayesian Experimental DesignConstrained Optimization

    ELLIS Institute Finland · Department of Computer Science, Aalto University, Finland · Department of Computer Science, University of Manchester, UK

  25. Goal-driven Bayesian Optimal Experimental Design for Robust Decision-Making Under Model Uncertainty

    May 25, 2026Jinwoo Go, Xiaoning Qian, Byung-Jun YoonBayesian Experimental DesignBayesian

    Computing & Data Sciences, Brookhaven National Laboratory, Upton, NY · Department of Electrical & Computer Engineering, Texas A&M University, College Station, TX · Department of Computer Science & Engineering, Texas A&M University, College Station, TX

  26. Optimal Design for Multinomial Logit Model with Applications to Best Assortment Identification

    May 25, 2026Joongkyu Lee, Min-hwan OhAssortmentStochastic Multi-Armed Bandits

    Seoul National University, Seoul, Korea.

  27. Choosing Online Experiment Designs under Interference in Ads, Recommendations, and Member-Experience Systems

    May 24, 2026Prashant Shekhar, Caroline HowardBayesian Experimental DesignOptimal Design

    Department of Mathematics Embry-Riddle Aeronautical University Daytona Beach, FL, USA

  28. Learning Treatment Effects during Resource Allocation via Priority-Queue Randomization

    May 24, 2026JungHo Lee, Johnna Sundberg, Pim Welle +1Heterogeneous Treatment EffectsQueue Control

    1Carnegie Mellon University · 2Allegheny County Department of Human Services

  29. Mind the Sim-to-Real Gap & Think Like a Scientist

    May 20, 2026Harsh Parikh, Gabriel Levin-Konigsberg, Dominique Perrault-Joncas +1Simulation-Based Reinforcement LearningSim-To-Real Gap

    Amazon SCOT, Seattle, USA · Yale University, New Haven, USA · Duke University, Durham, USA

  30. Reinforcement Learning for Optimal Experiment Design in Parameter Identification of Mechatronic Systems

    May 19, 2026Julian Langschwert, Georg Schaefer, Jakob Rehrl +2System IdentificationReinforcement Learning Control

    Josef Ressel Centre for Intelligent and Secure Industrial Automation, Salzburg University of Applied Sciences, Salzburg, Austria · Paris Lodron University of Salzburg, Salzburg, Austria

  31. Adaptive Experimentation for Censored Survival Outcomes

    May 18, 2026Yuxin Wang, Dennis Frauen, Jonas Schweisthal +3Survival AnalysisTreatment Allocation

    LMU Munich Munich Center of Machine Learning (MCML)

  32. Robust Sequential Experimental Design for A/B Testing

    May 13, 2026Qianglin Wen, Xiangkun Wu, Chengchun Shi +4Bayesian Experimental DesignTwo-Sample Testing

    Yunnan Key Laboratory of Statistical Modeling and Data Analysis, Yunnan University, Kunming, China · School of Mathematical Sciences, Zhejiang University, Hangzhou, China · Department of Statistics, London School of Economics and Political Science, London, United Kingdom +3

  33. Learning What Matters: Adaptive Information-Theoretic Objectives for Robot Exploration

    May 12, 2026Youwei Yu, Jionghao Wang, Zhengming Yu +2Bayesian Experimental DesignExploration

    Luddy School of Informatics, Computing, and Engineering, Indiana University, Bloomington, IN, USA · Department of Computer Science & Engineering, Texas A&M University, College Station, TX, USA

  34. Many Needles in a Haystack: Active Hit Discovery for Perturbation Experiments

    May 11, 2026Andrea Rubbi, Arpit Merchant, Samuel Ogden +4Bayesian Experimental DesignBayesian Optimization

    Department of Computer Science and Technology, University of Cambridge, Cambridge, UK · Cambridge Center for AI in Medicine, University of Cambridge, Cambridge, UK · MediaTek Research, Cambridge, UK +1

  35. Curvature Beyond Positivity: Greedy Guarantees for Arbitrary Submodular Functions

    May 8, 2026Yixin Chen, Alan KuhnleSubmodular FunctionsLocal Curvature

    Department of Computer Science & Engineering, Texas A&M University

  36. Optimal Experiments for Partial Causal Effect Identification

    May 7, 2026Tobias Maringgele, Jalal EtesamiCausal GraphBayesian Experimental Design

    Technical University of Munich · UC Berkeley

  37. DARTS: Targeting Prognostic Covariates in Budget-Constrained Sequential Experiments

    May 7, 2026Kateryna Husar, Alexander VolfovskyCovariate BalancingBayesian Experimental Design

    Department of Statistical Science Duke University Durham, NC 27705

  38. Sequential Design of Genetic Circuits Under Uncertainty With Reinforcement Learning

    May 7, 2026Michal Kobiela, Diego A. Oyarzún, Michael U. GutmannBayesian Experimental DesignStochastic

    School of Informatics, The University of Edinburgh, UK · School of Informatics, School of Biological Sciences, The University of Edinburgh, UK · School of Informatics, The University of Edinburgh,, UK

  39. Optimizing Social Utility in Sequential Experiments

    May 7, 2026Ander Artola Velasco, Stratis Tsirtsis, Manuel Gomez-RodriguezBayesian Experimental DesignUtility Maximization

    Max Planck Institute for Software Systems, Kaiserslautern, Germany · Hasso Plattner Institute, Potsdam, Germany

  40. Adaptive Querying with AI Persona Priors

    May 1, 2026Kaizheng Wang, Yuhang Wu, Assaf ZeeviArtificial Intelligence PersonasElicitation

    Department of Industrial Engineering and Operations Research and Data Science Institute, Columbia University. · Decision, Risk, and Operations Division, Columbia Business School.

  41. Auditing Marketing Budget Allocation with Hindsight Regret

    Apr 28, 2026Nilavra Pathak, Olivier Jeunen, Eric LambertToken Budget AllocationModel Auditing

    Expedia Group · New York, USA · aampe +2

  42. Spend Less, Fit Better: Budget-Efficient Scaling Law Fitting via Active Experiment Selection

    Apr 24, 2026Sijie Li, Shanda Li, Haowei Lin +3Bayesian Experimental DesignScaling Laws

    Peking University · Carnegie Mellon University · Datadog

  43. Beyond Expected Information Gain: Stable Bayesian Optimal Experimental Design with Integral Probability Metrics and Plug-and-Play Extensions

    Apr 23, 2026Di Wu, Ling Liang, Haizhao YangBayesian Experimental DesignIntegral

    Department of Mathematics The University of Tennessee, Knoxville TN 37916, USA · Department of Mathematics and Department of Computer Science University of Maryland, College Park MD 20742, USA

  44. Correcting Boundary Bias and Observation Independence in Bayesian Experimental Design

    Feb 2, 2026Sanna Jarl, Jens Sjölund, Jonathan J. S. Scragg +1Bayesian Experimental DesignGaussian Process

    Department of Material Science & Engineering Uppsala University RISE · Department of Information Technology Uppsala University · RISE

  45. A Probabilistic Approach to Trajectory-Based Optimal Experimental Design

    Jan 16, 2026Ahmed AttiaBayesian Experimental DesignMarkov Decision Processes

    Mathematics and Computer Science Division, Argonne National Lab, USA

  46. JADAI: Jointly Amortizing Adaptive Design and Bayesian Inference

    Dec 28, 2025Niels Bracher, Lars Kühmichel, Desi R. Ivanova +3Bayesian Experimental DesignBayesian Inference

    1Rensselaer Polytechnic Institute, USA · 2TU Dortmund University, Germany · University of Oxford, UK.

  47. Probabilistic Approach to Black-Box Binary Optimization with Budget Constraints: Application to Sensor Placement

    Jun 9, 2024Ahmed AttiaBayesian Experimental DesignBlack-Box Optimization

    Mathematics and Computer Science Division, Argonne National Laboratory, Lemont, IL, USA

  48. Data Market Design through Deep Learning

    Oct 31, 2023Sai Srivatsa Ravindranath, Yanchen Jiang, David C. ParkesBayesian Experimental DesignFirst-Price Auctions

    Harvard John A. Paulson School of Engineering and Applied Sciences

  49. Policy design in experiments with unknown interference

    Nov 16, 2020Davide Viviano, Jess RudderBayesian Experimental DesignWelfare

    Department of Economics, Harvard University, 1805 Cambridge St, Cambridge, MA 02138. · Department of Economics, Oregon State University, 1500 SW Jefferson Way, Corvallis, OR 97331.