{"total":21,"rows":[{"id":"2106.12535","title":"Learning Stochastic Majority Votes by Minimizing a PAC-Bayes Generalization Bound","created":"2021-06-23","cited_by_count":16,"area":null},{"id":"2402.08508","title":"A PAC-Bayesian Link Between Generalisation and Flat Minima","created":"2024-02-13","cited_by_count":13,"area":null},{"id":"2303.05369","title":"Data-dependent Generalization Bounds via Variable-Size Compressibility","created":"2023-03-09","cited_by_count":9,"area":null},{"id":"2404.17442","title":"Uniform Generalization Bounds on Data-Dependent Hypothesis Sets via PAC-Bayesian Theory on Random Sets","created":"2024-04-26","cited_by_count":9,"area":null},{"id":"2402.13285","title":"Leveraging PAC-Bayes Theory and Gibbs Distributions for Generalization Bounds with Complexity Measures","created":"2024-02-19","cited_by_count":7,"area":null},{"id":"2312.04658","title":"PAC-Bayes Generalization Certificates for Learned Inductive Conformal Prediction","created":"2023-12-07","cited_by_count":6,"area":null},{"id":"2312.00427","title":"From Mutual Information to Expected Dynamics: New Generalization Bounds for Heavy-Tailed SGD","created":"2023-12-01","cited_by_count":4,"area":null},{"id":"2410.13577","title":"Generalization Bounds via Meta-Learned Model Representations: PAC-Bayes and Sample Compression Hypernetworks","created":"2024-10-17","cited_by_count":3,"area":null},{"id":"2510.25569","title":"A Framework for Bounding Deterministic Risk with PAC-Bayes: Applications to Majority Votes","created":"2025-10-29","cited_by_count":3,"area":null},{"id":"2402.05101","title":"Tighter Generalisation Bounds via Interpolation","created":"2024-02-07","cited_by_count":2,"area":null},{"id":"2503.07325","title":"Non-vacuous Generalization Bounds for Deep Neural Networks without any modification to the trained models","created":"2025-03-10","cited_by_count":2,"area":null},{"id":"2509.00924","title":"Beyond Universal Approximation Theorems: Algorithmic Uniform Approximation by Neural Networks Trained with Noisy Data","created":"2025-08-31","cited_by_count":2,"area":null},{"id":"2110.04274","title":"Kernel Interpolation as a Bayes Point Machine","created":"2021-10-08","cited_by_count":1,"area":null},{"id":"2303.08720","title":"Practicality of generalization guarantees for unsupervised domain adaptation with neural networks","created":"2023-03-15","cited_by_count":1,"area":null},{"id":"2411.06276","title":"Multi-View Majority Vote Learning Algorithms: Direct Minimization of PAC-Bayesian Bounds","created":"2024-11-09","cited_by_count":1,"area":null},{"id":"2510.07935","title":"Some theoretical improvements on the tightness of PAC-Bayes risk certificates for neural networks","created":"2025-10-09","cited_by_count":1,"area":null},{"id":"2510.11169","title":"PAC-Bayesian Bounds on Constrained f-Entropic Risk Measures","created":"2025-10-13","cited_by_count":1,"area":null},{"id":"2606.19105","title":"Smoothness-Based Derandomization of PAC-Bayes Bounds","created":"2026-06-17","cited_by_count":1,"area":null},{"id":"2502.11071","title":"Generalization of the Gibbs algorithm with high probability at low temperatures","created":"2025-02-16","cited_by_count":0,"area":null},{"id":"2602.11722","title":"PAC-Bayesian Generalization Guarantees for Fairness on Stochastic and Deterministic Classifiers","created":"2026-02-12","cited_by_count":0,"area":null},{"id":"2609.16803","title":"On the disintegration of the stochastic majority vote: From PAC-Bayesian bounds to a self-bounding algorithm","created":"2026-09-15","cited_by_count":0,"area":null}],"next_cursor":null}