Pac-Bayesian Theory

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3 papers in the last four weeks, against 2 the four weeks before. 0.0% of all new papers.

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  1. On the disintegration of the stochastic majority vote: From PAC-Bayesian bounds to a self-bounding algorithm

    Sep 15, 2026Julien Bastian, Benjamin Leblanc, Pascal Germain +4Majority VotingGeneralization Bounds

    LabHC · Universit´e Jean Monnet Saint-´Etienne, CNRS, Institut d Optique Graduate School, Laboratoire Hubert Curien UMR 5516, F-42023, Saint-Etienne, France · LabHC, UJM, MALICE +6

  2. Quantifying the Value of Privileged Information Using a PAC-Bayesian Approach

    Sep 14, 2026Vasily Bokov (aQa, Leiden University, The Netherlands +24Privacy-Preserving Machine LearningPac-Bayesian Theory

  3. Prevalence Determines Precision:Silent Contamination in Detector-Defined Datasets

    Sep 12, 2026Jia Huang, Yankai Wan, Yangjun OuPrevalenceFalse-Negative Rate

    Guanghua School of Management, Peking University · College of Artificial Intelligence, Jilin University · School of Mathematical Sciences, Peking University

  4. PAC-Bayes Beyond Parameter Space: Behavioral Equivalence, Z-Information, and Exact Complexity Decomposition

    Aug 11, 2026Vasant G. Honavar, Satish Kumar Keshri, Neil Ashtekar +1Pac-Bayesian TheoryKullback-Leibler Divergence

    Artificial Intelligence Research Laboratory Department of Informatics and Intelligent Systems The Pennsylvania State University · Artificial Intelligence Research Laboratory Department of Computer Science and Engineering The Pennsylvania State University

  5. Sample Complexity of Multicalibration for Multilevel Properties

    Aug 4, 2026Jiuyao Lu, Krishnakumar Balasubramanian, Aleksandr Podkopaev +1Optimal Sample ComplexitySample Complexity

    Department of Statistics and Data Science, The Wharton School, University of Pennsylvania · 2Amazon · Department of Statistics, University of California, Davis

  6. 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

    Anhui Province Key Laboratory of Intelligent Building & Building Energy Saving, Anhui Jianzhu University, Hefei 230022, China · School of Electronic and Information Engineering, Anhui Jianzhu University, Hefei 230022, China · School of Economics and Management, Anhui Jianzhu University, Hefei 230022, China +1

  7. BayesAME: Bayesian Active Model Evaluation

    Jul 29, 2026Paula Cordero Encinar, Taylan Cemgil, Arnaud Doucet +2Geometry-Aware Uncertainty CoresetsModel Selection

    Imperial College London (work conducted while at Google DeepMind) · Google DeepMind

  8. Generalised Balanced Softmax: A Finite-Data Perspective on Logit Adjustment for Long-Tailed Recognition

    Jul 24, 2026Yi-Hang Zhu, Rajeev Raman, Shiqi Su +4Imbalanced ClassificationGumbel-Softmax Relaxation

    School of Computing and Mathematical Sciences, University of Leicester, Leicester, LE1 7RH, UK · Department of Physics and Astronomy, University of Leicester, Leicester, LE1 7RH, UK · Scientific Computing, Rutherford Appleton Laboratory, Science and Technology Facilities Council, Didcot, OX11 0QX, UK +2

  9. Simulation-Based Empirical Bayes

    Jul 23, 2026Xinwei Shen, Diana Cai, Cheng Zhang +1Empirical BayesPac-Bayesian Theory

    Department of Statistics University of Washington · Department of Computer Science Cornell University · School of Mathematical Sciences and Center for Statistical Science Peking University +1

  10. PAC--Bayes Bounds on Quotient Parameter Spaces: Geometry-induced Implicit-Bias Priors

    Jul 20, 2026Nicola Aladrah, Fabio AnselmiPac-Bayesian TheoryOverparameterization

    Department of Mathematics, Informatics and Geoscience, University of Trieste, Via Valerio 12/1, 34127 Trieste, Italy · 2McGovern Institute, MIT, Main Street, Cambridge, MA 02139, USA

  11. The Calibration Channel Determines the Bayes-Error Proxy: An Exact Law for Temperature-Induced Distortion

    Jul 20, 2026Shreyas Pradeepkumar KhandalePac-Bayesian TheoryCalibrated Uncertainty

    School of Computing Binghamton University (SUNY) Binghamton, NY, USA

  12. BayesContact: Uncertain Pose Estimation via Visuo-Tactile Proposals and Simulation-based Inference

    Jul 17, 2026Aditya Kamireddypalli, Matias Mattamala, Joao Moura +3Category-Level Object Pose EstimationTactile

    School of Informatics, University of Edinburgh, Scotland. · Department of Mechanical and Mechatronics Engineering, University of Waterloo, Canada.

  13. BayesPO: Bayesian Prompt Optimization via Parallel-Tempered Gradient-Guided Discrete MCMC

    Jul 17, 2026Junjie Zhou, Zhijian OuPrompt OptimizationPosterior Sampling

    Speech Processing and Machine Intelligence (SPMI) Lab Tsinghua University, China

  14. Entanglement as a Structural Complexity Axis: A PAC-Bayesian View of Generalization in Quantum Policies and Value Functions

    Jul 7, 2026Jian Xu, Delu Zeng, John Paisley +1EntanglementPac-Bayesian Theory

    1RIKEN iTHEMS · 2RIKEN AIP · 3South China University of Technology +1

  15. Transformer Architectures as Complete Bayes Processes: A Formal Proof in the Measure-Theoretic Kernel Framework

    Jun 29, 2026Haobo YangTransformer ArchitecturesBayesian

    Department of Computer Science and Engineering, SUSTech University

  16. BayesEvolve: Explicit Belief States for Autonomous Scientific Discovery

    Jun 29, 2026Xuening Wu, Shan Yu, Qianya Xu +1Stochastic ExplorationDiscovery

    Pfizer, Shanghai, China · Independent Researcher, Hangzhou, China · University of California San Diego, La Jolla, CA, USA +1

  17. BayesFP: Posterior Estimation for Flow-Based Policies via Feynman-Kac Sampling

    Jun 19, 2026Sreevardhan Sirigiri, Weiming Zhi, Fabio RamosFlow PoliciesDiffusion Policies

    School of Computer Science, The University of Sydney, Australia · Australian Centre For Robotics, The University of Sydney, Australia · College of Connected Computing, Vanderbilt University, TN, USA. +1

  18. Loss-Shift Transfer via Bayes Quotients

    Jun 11, 2026Vasileios SevetlidisLoss FunctionDistribution Shifts

    Athena Research Center, Kimmeria Campus, Xanthi, Greece · Democritus University of Thrace, Vas. Sofias Campus, Xanthi, Greece · International Hellenic University, Serres, Greece

  19. Bayes-Sufficient Representations in Supervised Learning

    Jun 2, 2026Vasileios SevetlidisPac-Bayesian TheoryBayesian

    Athena Research Center, Kimmeria Campus, Xanthi, Greece · Democritus University of Thrace, Vas. Sofias Campus, Xanthi, Greece · International Hellenic University, Serres, Greece

  20. A PAC-Bayesian View of Generalisation for Physics-Informed Machine Learning

    May 25, 2026Thien V. Nguyen, Amaury Habrard, Benjamin GuedjPhysics-Informed LearningPac-Bayesian Theory

    Université Jean Monnet Saint-Étienne, CNRS, Institut d’Optique Graduate School, Laboratoire Hubert Curien UMR 5516, F-42023, Saint-Étienne, France · Université Jean Monnet Saint-Étienne, CNRS, Institut d’Optique Graduate School, Laboratoire Hubert Curien UMR 5516, Inria, F-42023, Saint-Étienne, France · Institut Universitaire de France +1

  21. Guiding Multi-Objective Genetic Programming with Description Length Improves Symbolic Regression Solutions

    May 21, 2026Gabriel Kronberger, Fabricio Olivetti de Franca, Deaglan J. Bartlett +2Symbolic RegressionGenetic Algorithms

    Heuristic and Evolutionary Algorithms Laboratory University of Applied Sciences Upper Austria Softwarepark 11, 4232 Hagenberg, Austria · Center of Mathematics, Computing and Cognition Federal University of ABC Av. dos Estados 5001, Santo Andre, 09280-560, SP, Brazil · Astrophysics, University of Oxford Denys Wilkinson Building, Keble Road, Oxford, OX1 3RH, UK +1

  22. MMD-Balls as Credal Sets: A PAC-Bayesian Framework for Epistemic Uncertainty in Test-Time Adaptation

    May 20, 2026Ahanaf Hasan AriqPac-Bayesian TheoryEmpirical Risk Minimization

    Ideal School and College

  23. A Sharper Picture of Generalization in Transformers

    May 20, 2026Paul Lintilhac, Sair ShaikhGeneralization BoundsSharpness-Aware Minimization

    Thayer School of Engineering Dartmouth College · Dartmouth College

  24. Anytime PAC-Bayes for Constrained Density-Ratio Networks under Covariate Shift

    May 17, 2026Paulo Akira F. Enabe, Rodrigo ProvasiCovariate ShiftPac-Bayesian Theory

    Escola Politénica University of São Paulo Department of Structural and Geotechnical Engineering

  25. A Survey on Data-Dependent Worst-Case Generalization Bounds

    May 13, 2026Hubert Leroux, Jean Marcus, Julien RogerGeneralization BoundsOverparameterization

    ´Ecole polytechnique Palaiseau, France

  26. Instruction Adherence in Coding Agent Configuration Files: A Factorial Study of Four File-Structure Variables

    May 11, 2026Damon McMillanCoding AgentsCompliance

    HxAI Australia

  27. PLACO: A Multi-Stage Framework for Cost-Effective Performance in Human-AI Teams

    May 8, 2026Pranavkumar Mallela, Vinay Kumar, Shashi Shekhar Jha +1Human-Ai CollaborationTeaming

    Indian Institute of Technology Ropar

  28. TinyBayes: Closed-Form Bayesian Inference via Jacobi Prior for Real-Time Image Classification on Edge Devices

    May 7, 2026Shouvik Sardar, Sourish DasLeaf Disease ClassificationEdge Devices

    Data Science Group Chennai Mathematical Institute

  29. Realizable Bayes-Consistency for General Metric Losses

    May 5, 2026Dan Tsir Cohen, Steve Hanneke, Aryeh KontorovichHypothesis ClassPac-Bayesian Theory

    1Ben-Gurion University of the Negev · 2Purdue University, USA.

  30. Teacher Forcing as Generalized Bayes: Optimization Geometry Mismatch in Switching Surrogates for Chaotic Dynamics

    Apr 28, 2026Andre Herz, Daniel Durstewitz, Georgia KoppeChaosPac-Bayesian Theory

    Interdisciplinary Center for Scientific Computing, Heidelberg University, Germany · Dept. of Theoretical Neuroscience, Central Institute of Mental Health (CIMH), Mannheim, Germany · Hector Institute for AI in Psychiatry and Dept. of Psychiatry and Psychotherapy, CIMH, Mannheim, Germany +1

  31. Null Measurability at the Symmetrization Interface in VC Learning

    Apr 27, 2026Dhruv GuptaProbability MeasuresLearnability

    AI and Robotics Technology Park, Indian Institute of Science, Bengaluru

  32. PAC-Bayes Bounds for Gibbs Posteriors via Singular Learning Theory

    Apr 19, 2026Chenyang Wang, Yun YangPac-Bayesian TheoryGeneralization Bounds

    Department of Statistics, University of Illinois Urbana-Champaign · Department of Mathematics, University of Maryland, College Park

  33. When Do Early-Exit Networks Generalize? A PAC-Bayesian Theory of Adaptive Depth

    Apr 17, 2026Dongxin Guo, Jikun Wu, Siu Ming YiuGeneralization BoundsPac-Bayesian Theory

    The University of Hong Kong, Hong Kong, China · Brain Investing Limited, Hong Kong, China

  34. Bound to Disagree: Generalization Bounds via Certifiable Surrogates

    Feb 26, 2026Mathieu Bazinet, Valentina Zantedeschi, Pascal GermainGeneralization BoundsSurrogate Models

    1Département d’informatique et génie logiciel, Université Laval, Québec, Qc, Canada · 2ServiceNow Research, Montreal, Qc, Canada

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

    Nov 20, 2025Elias Hossain, Md Mehedi Hasan Nipu, Maleeha Sheikh +5Clinical Decision SupportLarge Language Model Uncertainty

    College of Engineering and Computer Science, University of Central Florida, Orlando, FL 32816, USA · Department of Computer Science and Engineering, North South University, Dhaka 1229, Bangladesh · Department of Electrical and Computer Engineering, Purdue University Fort Wayne, Fort Wayne, IN 46805, USA +4

  36. How Learning Dynamics Drive Adversarially Robust Generalization?

    Oct 10, 2024Yuelin Xu, Xiao ZhangAdversarial TrainingGeneralization Bounds

    CISPA Helmholtz Center for Information Security, Saarbrücken, Germany