Bayesian

Follow this topic Ask about this topic

Recent momentum

+0%

37 papers in the last 28 days · 0.6% of indexed attention

Twelve weeks of publication activity for this topic as it is defined today.

Weekly history

Recent digests

What was published in this topic, kept on the site without email delivery.

Period ending 2026-09-21

17 new papers

A weekly snapshot of new work published in Bayesian.

Period ending 2026-09-14

5 new papers

A weekly snapshot of new work published in Bayesian.

Period ending 2026-09-07

7 new papers

A weekly snapshot of new work published in Bayesian.

387 papers

Latest in Bayesian

Browse all topics →

Goal-driven Bayesian Optimal Experimental Design for Robust Decision-Making Under Model Uncertainty
May 25, 2026Jinwoo Go, Xiaoning Qian, Byung-Jun YoonBayesian Experimental Design Optimal Design
Accelerating Bayesian inverse design in computational fluid dynamics using neural operators
May 25, 2026Bipin Tiwari, Omer SanComputational Fluid Dynamic Generative Inverse Design
Generalized Evidential Deep Learning: From a Bayesian Perspective
May 25, 2026Yuanye Liu, Yibo Gao, Yuanyang Chen +1Evidential Learning Bayesian
A Blended Likelihood Approach for Achieving Fairness Using Naive Bayes
May 24, 2026John Arthur Junior, Abdul Lateef Yussif, Maame G. Asante-Mensah +3Fairness-Aware Learning Bayesian
Evolving Robustness--Exploration Trade-off in Online Reinforcement Learning via Quantile Bayesian Risk MDPs
May 23, 2026Meichen Song, Yuhao Wang, Enlu ZhouMarkov Decision Processes Bayesian
Empirical Bayes Conformal Prediction for Vision and Language Models
May 22, 2026Jiapeng Zeng, Yogesh Prabhu, Zhanpeng Zeng +2Conformal Prediction Nonconformity Scores
SVR-MAD: A Bayesian-Inspired Framework for Posterior-Guided Multi-Agent Debate
May 21, 2026Weifan Jiang, Rana Shahout, Minghao Li +4Multi-Agent Debate Bayesian
Guiding Multi-Objective Genetic Programming with Description Length Improves Symbolic Regression Solutions
May 21, 2026Gabriel Kronberger, Fabricio Olivetti de Franca, Deaglan J. Bartlett +2Symbolic Regression Genetic Algorithms
An Evidence Hierarchy for Bayesian Object Classification via OSINT-Aided Heterogeneous Sensor Fusion
May 21, 2026Jan Nausner, Michael HubnerMulti-Sensor Fusion Sensors
MotionDPS: Motion-Compensated 3D Brain MRI Reconstruction
May 21, 2026Antonio Ortiz-Gonzalez, Erich Kobler, Lukas Schletter +1Magnetic Resonance Imaging Reconstruction Magnetic Resonance Imaging
LABO: LLM-Accelerated Bayesian Optimization through Broad Exploration and Selective Experimentation
May 21, 2026Zhuo Chen, Xinzhe Yuan, Jianshu Zhang +8Bayesian Optimization Bayesian
OPPO: Bayesian Value Recursion for Token-Level Credit Assignment in LLM Reasoning
May 21, 2026Yu Li, Rui Miao, Tian Lan +1Large Language Model Reasoning Credit Assignment
Truncated Neural Likelihood Estimation for Simulation-Based Inference in State-Space Models
May 20, 2026Kostas Tsampourakis, Víctor ElviraState Space Models Latent States
MMD-Balls as Credal Sets: A PAC-Bayesian Framework for Epistemic Uncertainty in Test-Time Adaptation
May 20, 2026Ahanaf Hasan AriqBayesian Generalization Bounds
Equilibrium Propagation and Hamiltonian Inference in the Diffusive Fitzhugh-Nagumo Model
May 20, 2026Jack KendallHamiltonian Bayesian
Theoretical guidelines for annealed Langevin dynamics in compositional simulation-based inference
May 20, 2026Camille Touron, Gabriel V. Cardoso, Julyan Arbel +1Langevin Dynamics Biasing Score Estimation
A Sharper Picture of Generalization in Transformers
May 20, 2026Paul Lintilhac, Sair ShaikhGeneralization Bounds Sharpness-Aware Minimization
Robust Recommendation from Noisy Implicit Feedback: A GMM-Weighted Bayes-label Transition Matrix Framework
May 20, 2026Zongyu Li, Xuanyu Liu, Gongce Cao +3Noisy Labels Recommender Systems
Corrected Integrated Laplace Approximation for Bayesian Inference in Latent Gaussian Models
May 19, 2026Jinlin Lai, Charles C. Margossian, Daniel R. SheldonPosterior Sampling Bayesian
Training Neural Networks with Optimal Double-Bayesian Learning
May 19, 2026Vy Bui, Hang Yu, Karthik Kantipudi +2Learning Rates Stochastic Gradient Descent
MedCRP-CL: Continual Medical Image Segmentation via Bayesian Nonparametric Semantic Modality Discovery
May 19, 2026Ziyuan GaoMedical Image Segmentation Efficient Continual Learning
AI4BayesCode: From Natural Language Descriptions to Validated Modular Stateful Bayesian Samplers
May 18, 2026Jungang Zou, Alex Ziyu Jiang, Qixuan ChenMarkov Chain Monte Carlo Markovian Sampling
Bayesian Latent Space Models for Graphs Are Misspecified: Toward Robust Inference via Generalized Posteriors
May 18, 2026Aldric LabartheBayesian Exponential Random Graph Models
Anytime PAC-Bayes for Constrained Density-Ratio Networks under Covariate Shift
May 17, 2026Paulo Akira F. Enabe, Rodrigo ProvasiCovariate Shift Distribution Shifts
Evidential Information Fusion on Possibilistic Structure
May 16, 2026Qianli Zhou, Ye Cui, Zhen Li +2Evidential Learning Bayesian
Bayesian Networks for Path-Based Sensors: Gathering Information and Path Planning in Communication Denied Environments
May 15, 2026Alkesh K. Srivastava, George P. Kontoudis, Donald Sofge +1Bayesian Networks Coverage Path Planning
Boundedly Rational Meta-Learning in Sequential Consumer Choice
May 15, 2026Mehrzad Khosravi, Max Kleiman-Weiner, Hema YoganarasimhanMeta-Learning Online Shoppers Purchasing Intention
SurvivalPFN: Amortizing Survival Prediction via In-Context Bayesian Inference
May 15, 2026Shi-ang Qi, Vahid Balazadeh, Michael Cooper +2Survival Predictions Survival Analysis
Amortized Energy-Based Bayesian Inference
May 14, 2026Hojjat Kaveh, Ricardo Baptista, Andrew M. StuartPosterior Sampling Ill-Posed Inverse Problem
bde: A Python Package for Bayesian Deep Ensembles via MILE
May 13, 2026Vyron Arvanitis, Angelos Aslanidis, Emanuel Sommer +1Bayesian Ensemble
To discretize continually: Mean shift interacting particle systems for Bayesian inference
May 13, 2026Ayoub Belhadji, Daniel Sharp, Youssef M. MarzoukMaximum Mean Discrepancy Bayesian
Uncertainty-Aware Prediction of Lung Tumor Growth from Sparse Longitudinal CT Data via Bayesian Physics-Informed Neural Networks
May 13, 2026Lingfei Kong, Haoran MaPrognostics Non-Small Cell Lung Cancer
Bayesian In Vivo Tracking of Synapses using Joint Poisson Deconvolution and Diffeomorphic Registration
May 13, 2026Shashwat Kumar, Dominic M. Padova, Binish Narang +6Microscopy Synaptic Plasticity
A Survey on Data-Dependent Worst-Case Generalization Bounds
May 13, 2026Hubert Leroux, Jean Marcus, Julien RogerGeneralization Bounds Over-Parameterized Neural Networks
Kernel-based guarantees for nonlinear parametric models in Bayesian optimization
May 13, 2026Rafael OliveiraBayesian Optimization Bayesian
Bayesian Model Merging
May 13, 2026Kaiyang Li, Shaobo Han, Qing Su +1Continual Model Merging Model Merging
Self-Supervised Laplace Approximation for Bayesian Uncertainty Quantification
May 12, 2026Julian Rodemann, Alexander Marquard, Thomas Augustin +1Bayesian Neural Networks Bayesian
Keeping Score: Efficiency Improvements in Neural Likelihood Surrogate Training via Score-Augmented Loss Functions
May 12, 2026Alexander Shen, Mikael KuuselaLikelihood Bayesian
Efficient Conditioning Why Pseudo Observation Batch Bayesian Optimization Works When It Does not
May 12, 2026Kumbha Nagaswetha, Rabi PathakBayesian Optimization Bayesian
Elicitation-Augmented Bayesian Optimization
May 12, 2026Alvar Haltia, Ville Hyvönen, Samuel KaskiBayesian Optimization Bayesian
Incentivizing Truthfulness and Collaborative Fairness in Bayesian Learning
May 12, 2026Rachael Hwee Ling Sim, Jue Fan, Xiao Tian +3Fairness-Aware Learning Incentives
Online Sharp-Calibrated Bayesian Optimization
May 11, 2026Marshal Arijona Sinaga, Julien Martinelli, Teemu Turpeinen +1Bayesian Optimization Gaussian Process
Sharp feature-learning transitions and Bayes-optimal neural scaling laws in extensive-width networks
May 11, 2026Minh-Toan Nguyen, Jean BarbierFeature Learning Two-Layer Neural Networks
Foundations of Reliable Inference: Reliability-Efficiency Co-Design
May 11, 2026Jiayi HuangReliable Uncertainty Quantification Bayesian
ANCHOR: Abductive Network Construction with Hierarchical Orchestration for Reliable Probability Inference in Large Language Models
May 11, 2026Wentao Qiu, Guanran Luo, Zhongquan Jian +3Probabilistic Inference Bayesian
Instruction Adherence in Coding Agent Configuration Files: A Factorial Study of Four File-Structure Variables
May 11, 2026Damon McMillanCoding Agents Adherence
Supercharging Bayesian Inference with Reliable AI-Informed Priors
May 11, 2026Jongwoo Choi, Sean O'HaganBayesian Prior Knowledge
Dystruct: Dynamically Structured Diffusion Language Model Decoding via Bayesian Inference
May 10, 2026Bian Sun, Kevin Zhai, Mubarak Shah +1Diffusion Language Models Text Generation
Bayesian Optimization with Structured Measurements: A Vector-Valued RKHS Framework
May 10, 2026Wenbin Wang, Colin N. JonesBayesian Optimization Kernel Hilbert Spaces
Empirical Bayes 1-bit matrix completion
May 10, 2026Takeru MatsudaTensor Completion Bayesian
A Cognitively Grounded Bayesian Framework for Misinformation Susceptibility
May 10, 2026Pranava MadhyasthaMisinformation Bayesian
Direct Bethe Free Energy Minimization for Bayesian Neural Networks
May 8, 2026Pavel ProchazkaBayesian Neural Networks Bayesian
PLACO: A Multi-Stage Framework for Cost-Effective Performance in Human-AI Teams
May 8, 2026Pranavkumar Mallela, Vinay Kumar, Shashi Shekhar Jha +1Human-Ai Collaboration Bayesian
Bayesian Sensitivity of Causal Inference Estimators under Evidence-Based Priors
May 8, 2026Nikita Dhawan, Daniel Shen, Leonardo Cotta +1Causal Inferences Model Sensitivity
Susceptibilities and Patterning: A Primer on Linear Response in Bayesian Learning
May 8, 2026Chris Elliott, Daniel MurfetBayesian Loss Landscape
Asymptotically Log-Optimal Bayes-Assisted Confidence Sequences for Bounded Means
May 8, 2026Valentin Kilian, Stefano Cortinovis, François CaronConfidence Intervals Bayesian
Pre-trained Tabular Foundation Models as Versatile Summary Networks for Neural Posterior Estimation
May 8, 2026Elliot Pickens, Chiraag Gohel, Sidharth SatyaTabular Prior-Data Fitted Network Tabpfn
Open-Ended Task Discovery via Bayesian Optimization
May 8, 2026Masaki Adachi, Yuta Suzuki, Juliusz ZiomekBayesian Optimization Bayesian
Bounded Fitting for Expressive Description Logics
May 8, 2026Maurice Funk, Jean Christoph Jung, Tom VoellmerSatisfiability New Bounds
Functional-prior-based approaches to Bayesian PDE-constrained inversion using physics-informed neural networks
May 8, 2026Ryoichiro Agata, Tomohisa OkazakiConventional Physics-Informed Neural Networks Bayesian

May 25, 2026 · cs.LGJ/K move · Enter open · S save

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

Jinwoo Go, Xiaoning Qian, Byung-Jun Yoon

Bayesian optimal experimental design (BOED) selects experiments to maximize information gain about model parameters. However, in decision-critical settings, reducing parameter uncertainty does not necessarily improve downstream decisions, as only specific parameter directions relevant to the objective truly matter. We propose GoBOED, a goal-driven BOED framework that directly optimizes experimental designs for a specified decision-making objective. GoBOED combines an amortized variational posterior surrogate with a differentiable convex decision layer, enabling gradient-based design optimization that is fully decision-focused. We theoretically show that GoBOED gradients are insensitive to parameter directions irrelevant to the decision objective, providing a formal justification for why goal-driven design achieves equivalent decision quality over a wider set of experimental designs than information-gain maximization. Empirically, across source localization, epidemic management, and pharmacokinetic control, GoBOED identifies designs that better align with downstream decision objectives and reveals that near-optimal design windows are substantially wider than those predicted by goal-agnostic BOED approaches.

Bayesian Experimental Design Optimal Design Bayesian Sequential Decision Making Decisions Objectives Drug-Drug Interactions

Open paper Ask about it PDF

Recent momentum

Neighbouring directions

Recent digests

17 new papers

5 new papers

7 new papers

Latest in Bayesian