{"total":27,"rows":[{"id":"2110.11216","title":"User-friendly introduction to PAC-Bayes bounds","created":"2021-10-21","cited_by_count":239,"area":null},{"id":"2206.07977","title":"Personalized Federated Learning via Variational Bayesian Inference","created":"2022-06-16","cited_by_count":68,"area":null},{"id":"2108.11000","title":"Layer Adaptive Node Selection in Bayesian Neural Networks: Statistical Guarantees and Implementation Details","created":"2021-08-25","cited_by_count":14,"area":null},{"id":"2406.03369","title":"Posterior and variational inference for deep neural networks with heavy-tailed weights","created":"2024-06-05","cited_by_count":10,"area":null},{"id":"2305.14765","title":"Masked Bayesian Neural Networks : Theoretical Guarantee and its Posterior Inference","created":"2023-05-24","cited_by_count":9,"area":null},{"id":"2305.04979","title":"FedHB: Hierarchical Bayesian Federated Learning","created":"2023-05-08","cited_by_count":8,"area":null},{"id":"2205.07764","title":"On the inability of Gaussian process regression to optimally learn compositional functions","created":"2022-05-16","cited_by_count":7,"area":null},{"id":"2206.00241","title":"Asymptotic Properties for Bayesian Neural Network in Besov Space","created":"2022-06-01","cited_by_count":7,"area":null},{"id":"2207.11208","title":"Statistical and Computational Trade-offs in Variational Inference: A Case Study in Inferential Model Selection","created":"2022-07-22","cited_by_count":7,"area":null},{"id":"2405.01304","title":"Misclassification bounds for PAC-Bayesian sparse deep learning","created":"2024-05-02","cited_by_count":7,"area":null},{"id":"2303.04345","title":"Federated Learning via Variational Bayesian Inference: Personalization, Sparsity and Clustering","created":"2023-03-08","cited_by_count":5,"area":null},{"id":"2305.00934","title":"Variational Inference for Bayesian Neural Networks under Model and Parameter Uncertainty","created":"2023-05-01","cited_by_count":5,"area":null},{"id":"2403.01737","title":"Deep Horseshoe Gaussian Processes","created":"2024-03-04","cited_by_count":5,"area":null},{"id":"2307.07172","title":"FedBIAD: Communication-Efficient and Accuracy-Guaranteed Federated Learning with Bayesian Inference-Based Adaptive Dropout","created":"2023-07-14","cited_by_count":4,"area":null},{"id":"2308.09104","title":"Spike-and-slab shrinkage priors for structurally sparse Bayesian neural networks","created":"2023-08-17","cited_by_count":4,"area":null},{"id":"2410.21702","title":"Minimax optimality of deep neural networks on dependent data via PAC-Bayes bounds","created":"2024-10-29","cited_by_count":4,"area":null},{"id":"2108.06446","title":"A fast asynchronous MCMC sampler for sparse Bayesian inference","created":"2021-08-14","cited_by_count":3,"area":null},{"id":"2507.07853","title":"Optimization Guarantees for Square-Root Natural-Gradient Variational Inference","created":"2025-07-10","cited_by_count":3,"area":null},{"id":"2204.12392","title":"A PAC-Bayes oracle inequality for sparse neural networks","created":"2022-04-26","cited_by_count":2,"area":null},{"id":"2506.19144","title":"Posterior Contraction for Sparse Neural Networks in Besov Spaces with Intrinsic Dimensionality","created":"2025-06-23","cited_by_count":2,"area":null},{"id":"2602.18825","title":"Bayesian Lottery Ticket Hypothesis","created":"2026-02-21","cited_by_count":2,"area":null},{"id":"2206.00853","title":"Masked Bayesian Neural Networks : Computation and Optimality","created":"2022-06-02","cited_by_count":1,"area":null},{"id":"2307.02222","title":"Personalized Federated Learning via Amortized Bayesian Meta-Learning","created":"2023-07-05","cited_by_count":1,"area":null},{"id":"2310.09335","title":"The surrogate Gibbs-posterior of a corrected stochastic MALA: Towards uncertainty quantification for neural networks","created":"2023-10-13","cited_by_count":0,"area":null},{"id":"2411.11132","title":"Variational Bayesian Bow tie Neural Networks with Shrinkage","created":"2024-11-17","cited_by_count":0,"area":null},{"id":"2510.08999","title":"SQS: Bayesian DNN Compression through Sparse Quantized Sub-distributions","created":"2025-10-10","cited_by_count":0,"area":null},{"id":"2605.08672","title":"Posterior Concentration of Bayesian Physics-Informed Neural Networks for Elliptic PDEs","created":"2026-05-09","cited_by_count":0,"area":null}],"next_cursor":null}