{"total":44,"rows":[{"id":"2306.01122","title":"On the Convergence of Coordinate Ascent Variational Inference","created":"2023-06-01","cited_by_count":18,"area":null},{"id":"2109.03204","title":"Adaptive variational Bayes: Optimality, computation and applications","created":"2021-09-07","cited_by_count":17,"area":null},{"id":"2211.05964","title":"Thompson Sampling for High-Dimensional Sparse Linear Contextual Bandits","created":"2022-11-11","cited_by_count":16,"area":null},{"id":"2106.11428","title":"Local convexity of the TAP free energy and AMP convergence for Z2-synchronization","created":"2021-06-21","cited_by_count":15,"area":null},{"id":"2104.12232","title":"Variational Inference in high-dimensional linear regression","created":"2021-04-25","cited_by_count":10,"area":null},{"id":"2205.10009","title":"The price of ignorance: how much does it cost to forget noise structure in low-rank matrix estimation?","created":"2022-05-20","cited_by_count":9,"area":null},{"id":"2208.10910","title":"A flexible empirical Bayes approach to multiple linear regression and connections with penalized regression","created":"2022-08-23","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":"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":"2107.06936","title":"Performance of Bayesian linear regression in a model with mismatch","created":"2021-07-14","cited_by_count":6,"area":null},{"id":"2306.07299","title":"Additive Multi-Index Gaussian process modeling, with application to multi-physics surrogate modeling of the quark-gluon plasma","created":"2023-06-11","cited_by_count":6,"area":null},{"id":"2409.01687","title":"A sparse PAC-Bayesian approach for high-dimensional quantile prediction","created":"2024-09-03","cited_by_count":6,"area":null},{"id":"2204.01668","title":"Scalable Spike-and-Slab","created":"2022-04-04","cited_by_count":5,"area":null},{"id":"2304.11251","title":"Machine Learning and the Future of Bayesian Computation","created":"2023-04-21","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":"2309.16843","title":"A Mean Field Approach to Empirical Bayes Estimation in High-dimensional Linear Regression","created":"2023-09-28","cited_by_count":4,"area":null},{"id":"2102.00305","title":"Spike and slab Bayesian sparse principal component analysis","created":"2021-01-30","cited_by_count":3,"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":"2112.10270","title":"Variational Bayes for high-dimensional proportional hazards models with applications within gene expression","created":"2021-12-19","cited_by_count":3,"area":null},{"id":"2102.12261","title":"Sparse online variational Bayesian regression","created":"2021-02-24","cited_by_count":2,"area":null},{"id":"2209.08139","title":"Sparse high-dimensional linear regression with a partitioned empirical Bayes ECM algorithm","created":"2022-09-16","cited_by_count":2,"area":null},{"id":"2308.15613","title":"Mixed Variational Flows for Discrete Variables","created":"2023-08-29","cited_by_count":2,"area":null},{"id":"2311.00663","title":"Variational Gaussian Processes For Linear Inverse Problems","created":"2023-11-01","cited_by_count":2,"area":null},{"id":"2404.03764","title":"Covariate-Elaborated Robust Partial Information Transfer with Conditional Spike-and-Slab Prior","created":"2024-03-30","cited_by_count":2,"area":null},{"id":"2406.12678","title":"Contraction rates for conjugate gradient and Lanczos approximate posteriors in Gaussian process regression","created":"2024-06-18","cited_by_count":2,"area":null},{"id":"2504.03321","title":"Adaptive sparse variational approximations for Gaussian process regression","created":"2025-04-04","cited_by_count":2,"area":null},{"id":"2310.00097","title":"Pointwise uncertainty quantification for sparse variational Gaussian process regression with a Brownian motion prior","created":"2023-09-29","cited_by_count":1,"area":null},{"id":"2405.19016","title":"Adaptive posterior concentration rates for sparse high-dimensional linear regression with random design and unknown error variance","created":"2024-05-29","cited_by_count":1,"area":null},{"id":"2504.12528","title":"Robust and Scalable Variational Bayes","created":"2025-04-16","cited_by_count":1,"area":null},{"id":"2603.20929","title":"Stability of Sequential and Parallel Coordinate Ascent Variational Inference","created":"2026-03-21","cited_by_count":1,"area":null},{"id":"2210.00091","title":"Factorized Fusion Shrinkage for Dynamic Relational Data","created":"2022-09-30","cited_by_count":0,"area":null},{"id":"2212.00293","title":"Scalable and adaptive variational Bayes methods for Hawkes processes","created":"2022-12-01","cited_by_count":0,"area":null},{"id":"2307.05558","title":"From Estimation to Sampling for Bayesian Linear Regression with Spike-and-Slab Prior","created":"2023-07-09","cited_by_count":0,"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":"2410.15381","title":"High-dimensional prediction for count response via sparse exponential weights","created":"2024-10-20","cited_by_count":0,"area":null},{"id":"2411.06192","title":"Variational Bayes Portfolio Construction","created":"2024-11-09","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":"2502.10532","title":"Variational empirical Bayes variable selection in high-dimensional logistic regression","created":"2025-02-14","cited_by_count":0,"area":null},{"id":"2507.23600","title":"EB-gMCR: Energy-Based Generative Modeling for Signal Unmixing and Multivariate Curve Resolution","created":"2025-07-31","cited_by_count":0,"area":null},{"id":"2511.15330","title":"BaGGLS: A Bayesian Shrinkage Framework for Interpretable Modeling of Interactions in High-Dimensional Biological Data","created":"2025-11-19","cited_by_count":0,"area":null},{"id":"2511.20594","title":"Variational bagging: a robust approach for Bayesian uncertainty quantification","created":"2025-11-25","cited_by_count":0,"area":null},{"id":"2605.11168","title":"Variational predictive resampling","created":"2026-05-11","cited_by_count":0,"area":null},{"id":"2605.29908","title":"Joint Model and Data Sparsification via the Marginal Likelihood","created":"2026-05-28","cited_by_count":0,"area":null},{"id":"2609.38656","title":"Adaptive mixture variational inference for spike-and-slab regression","created":"2026-09-29","cited_by_count":0,"area":null}],"next_cursor":null}