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

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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

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387 papers

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  1. Prior Diffusiveness and Regret in the Linear-Gaussian Bandit

    Jan 5, 2026Yifan Zhu, John C. Duchi, Benjamin Van RoyThompson SamplingLinear Regret

  2. SGD-Based Knowledge Distillation with Bayesian Teachers: Theory and Guidelines

    Jan 4, 2026Itai Morad, Nir Shlezinger, Yonina C. EldarKnowledge DistillationStochastic Gradient Descent

  3. JADAI: Jointly Amortizing Adaptive Design and Bayesian Inference

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

  4. Diffusion Models in Simulation-Based Inference: A Tutorial Review

    Dec 22, 2025Jonas Arruda, Niels Bracher, Ullrich Köthe +2BayesianLatent Variable

  5. Adaptive digital twins for predictive decision-making: Online Bayesian learning of transition dynamics

    Dec 15, 2025Eugenio Varetti, Matteo Torzoni, Marco Tezzele +1Digital TwinsDynamics Models

  6. DAPS++: Rethinking Diffusion Inverse Problems with Decoupled Posterior Annealing

    Nov 21, 2025Hao Chen, Renzheng Zhang, Scott S. HowardDiffusion PriorsIll-Posed Inverse Problem

  7. MedBayes-Lite: A Clinical Uncertainty Governance Layer for Risk-Aware Medical Decision Support

    Nov 20, 2025Elias Hossain, Md Mehedi Hasan Nipu, Maleeha Sheikh +5Clinical PredictionBayesian

  8. Graded strength of comparative illusions is explained by Bayesian inference

    Nov 18, 2025Yuhan Zhang, Erxiao Wang, Cory ShainIllusionsBayesian

  9. Adaptive Conformal Inference through the Lens of Blackwell Approachability

    Oct 17, 2025Guillaume Principato, Gilles StoltzConformal InferenceBayesian

  10. The Alignment Auditor: A Bayesian Framework for Verifying and Refining LLM Objectives

    Oct 7, 2025Matthieu Bou, Nyal Patel, Arjun Jagota +2Reinforcement Learning With Verifiable RewardVerifier

  11. Robust Sparse Bayesian Learning Based on Minimum Error Entropy for Noisy High-Dimensional Brain Activity Decoding

    Aug 5, 2025Yuanhao Li, Badong Chen, Wenjun Bai +2Noise-AwareSparse Recovery

  12. Formal Bayesian Transfer Learning via the Total Risk Prior

    Jul 31, 2025Nathan Wycoff, Ali Arab, Lisa O. SinghBayesianLasso

  13. The Bayesian Approach to Continual Learning: An Overview

    Jul 11, 2025Tameem AdelEfficient Continual LearningContinual Learning Methods

  14. Bayesian Invariance Modeling of Multi-Environment Data

    Jun 27, 2025Luhuan Wu, Mingzhang Yin, Yixin Wang +2BayesianPosterior

  15. Physics-Informed Sylvester Normalizing Flows for Bayesian Inference in Magnetic Resonance Spectroscopy

    May 6, 2025Julian P. Merkofer, Dennis M. J. van de Sande, Alex A. Bhogal +1MetabolicNormalizing Flows

  16. Bifidelity Parameter Estimation Using Conditional Diffusion Models

    Apr 2, 2025Caroline Tatsuoka, Minglei Yang, Dongbin Xiu +1Posterior SamplingBayesian

  17. How Learning Dynamics Drive Adversarially Robust Generalization?

    Oct 10, 2024Yuelin Xu, Xiao ZhangGeneralization BoundsEmpirical Risk Minimization

  18. Joint Bayesian Parameter and Model Order Estimation for Low-Rank Probability Mass Tensors

    Oct 8, 2024Joseph K. Chege, Arie Yeredor, Martin HaardtBayesianLow-Rank Factorization

  19. BTBR: A Bayesian-Theory-Driven Probabilistic-Fuzzy Framework for Implicit Bias Removal in Large Language Models

    Aug 20, 2024Yongxin Deng, Xiaoyu Tan, Jing Pan +3Large Language Model BiasBias Mitigation

  20. BEACON: A Bayesian Optimization Inspired Strategy for Efficient Novelty Search

    Jun 5, 2024Wei-Ting Tang, Ankush Chakrabarty, Joel A. PaulsonBayesian OptimizationSearch Algorithms

  21. Hierarchical Bayesian Crowdsourcing with Item Difficulty

    May 29, 2024Seong Woo Han, Ozan Adıgüzel, Bob CarpenterMean Opinion ScoresBayesian

  22. Active Exploration via Autoregressive Generation of Missing Data

    May 29, 2024Tiffany Tianhui Cai, Hongseok Namkoong, Daniel Russo +1Efficient ExplorationUncertainty-Aware Inference

  23. Amortizing intractable inference in large language models

    Oct 6, 2023Edward J. Hu, Moksh Jain, Eric Elmoznino +4Large Language Model Fine-TuningLarge Language Model Reasoning

  24. A Bayesian Approach for the Network Reconstruction of Interdependent Critical Infrastructure Systems from Cascading Failures

    Nov 28, 2022MirSaleh Bahavarnia, Hiba Baroud, Yu Wang +1Complex NetworksInfrastructure

  25. Statistical Uncertainty Quantification for Aggregate Performance Metrics in Machine Learning Benchmarks

    Date pendingRachel Longjohn, Giri Gopalan, Emily CasletonReliable Uncertainty QuantificationEvaluation Metrics

  26. Quit While You're Ahead: Quit for Efficient Candidate Generation in Machine Translation Reranking

    Date pendingGuangyu Chen, Boxuan Lyu, Hidetaka Kamigaito +2Neural Machine Translation ModelsMachine Translation

  27. A Generalized Tangent Approximation based Variational Inference Framework for Strongly Super-Gaussian Likelihoods

    Date pendingSomjit Roy, Pritam Dey, Debdeep Pati +1Variational InferenceVariational