{"total":13,"rows":[{"id":"2109.14567","title":"Implicit Generative Copulas","created":"2021-09-29","cited_by_count":17,"area":null},{"id":"2306.00344","title":"BOtied: Multi-objective Bayesian optimization with tied multivariate ranks","created":"2023-06-01","cited_by_count":15,"area":null},{"id":"2411.02114","title":"Semiparametric conformal prediction","created":"2024-11-04","cited_by_count":13,"area":null},{"id":"2411.03014","title":"Your copula is a classifier in disguise: classification-based copula density estimation","created":"2024-11-05","cited_by_count":8,"area":null},{"id":"2302.12606","title":"Retrospective Uncertainties for Deep Models using Vine Copulas","created":"2023-02-24","cited_by_count":7,"area":null},{"id":"2509.19707","title":"Diffusion and Flow-based Copulas: Forgetting and Remembering Dependencies","created":"2025-09-24","cited_by_count":7,"area":null},{"id":"2406.12764","title":"Quasi-Bayes meets Vines","created":"2024-06-18","cited_by_count":5,"area":null},{"id":"2506.13318","title":"Vine Copulas as Differentiable Computational Graphs","created":"2025-06-16","cited_by_count":2,"area":null},{"id":"2505.22997","title":"Deep Copula Classifier: Theory, Consistency, and Empirical Evaluation","created":"2025-05-29","cited_by_count":1,"area":null},{"id":"2510.20035","title":"Throwing Vines at the Wall: Structure Learning via Random Search","created":"2025-10-22","cited_by_count":1,"area":null},{"id":"2512.14399","title":"Trunc-Opt vine building algorithms","created":"2025-12-16","cited_by_count":1,"area":null},{"id":"2309.16391","title":"2-Cats: 2D Copula Approximating Transforms","created":"2023-09-28","cited_by_count":0,"area":null},{"id":"2609.10313","title":"Semiparametric Inference for Conditional Shapley Feature Importance","created":"2026-09-09","cited_by_count":0,"area":null}],"next_cursor":null}