gaussian copula

Probabilistic Rainfall Downscaling: Joint Generalized Neural Models with Censored Spatial Gaussian Copula JMLR 2026 Flexible Copula-Based Mixed Models in Deep Learning: A Scalable Approach to Arbitrary Marginals AISTATS 2025 Unconditionally Calibrated Priors for Beta Mixture Density Networks AISTATS 2025 $ρ$-GNF: A Copula-based Sensitivity Analysis to Unobserved Confounding Using Normalizing Flows PGM 2024 Copula for Instance-wise Feature Selection and Rank UAI 2023 Gaussian Copula Embeddings NeurIPS 2022 Online Missing Value Imputation and Change Point Detection with the Gaussian Copula AAAI 2022 Probabilistic Missing Value Imputation for Mixed Categorical and Ordered Data NeurIPS 2022 Asymptotically Exact and Fast Gaussian Copula Models for Imputation of Mixed Data Types ACML 2021 A Quantile-based Approach for Hyperparameter Transfer Learning ICML 2020 Matrix Completion with Quantified Uncertainty through Low Rank Gaussian Copula NeurIPS 2020 Relaxed Multivariate Bernoulli Distribution and Its Applications to Deep Generative Models UAI 2020 Adaptive Gaussian Copula ABC AISTATS 2019 High-dimensional Mixed Graphical Model with Ordinal Data: Parameter Estimation and Statistical Inference AISTATS 2019 High-dimensional multivariate forecasting with low-rank Gaussian Copula Processes NeurIPS 2019 Neural Gaussian Copula for Variational Autoencoder EMNLP 2019 Nonparanormal Information Estimation ICML 2017 Generalized Ideal Parent (GIP): Discovering non-Gaussian Hidden Variables AISTATS 2016 Multi-task Sparse Structure Learning with Gaussian Copula Models JMLR 2016 Copula variational inference NeurIPS 2015 Gaussian Copula Precision Estimation with Missing Values AISTATS 2014 Sparse meta-Gaussian information bottleneck ICML 2014 CODA: High Dimensional Copula Discriminant Analysis JMLR 2013 Flexible sampling of discrete data correlations without the marginal distributions NeurIPS 2013 Meta-Gaussian Information Bottleneck NeurIPS 2012