multivariate distribution

Hybrid Bernstein Normalizing Flows for Flexible Multivariate Density Regression with Interpretable Marginals UAI 2025 Multivariate Probabilistic Monocular 3D Object Detection WACV 2023 Distributional Random Forests: Heterogeneity Adjustment and Multivariate Distributional Regression JMLR 2022 Inference and Sampling for Archimax Copulas NeurIPS 2022 Modeling extremes with d-max-decreasing neural networks UAI 2022 Implicit Generative Copulas NeurIPS 2021 Conditional Sum-Product Networks: Imposing Structure on Deep Probabilistic Architectures PGM 2020 Private Identity Testing for High-Dimensional Distributions NeurIPS 2020 A Polynomial Time Algorithm for Log-Concave Maximum Likelihood via Locally Exponential Families NeurIPS 2019 Pathwise Derivatives for Multivariate Distributions AISTATS 2019 Hybrid Copula Bayesian Networks PGM 2016 Mixed vine copulas as joint models of spike counts and local field potentials NeurIPS 2016 Dynamic Copula Networks for Modeling Real-valued Time Series AISTATS 2013 Robust Low Rank Kernel Embeddings of Multivariate Distributions NeurIPS 2013 Copula Bayesian Networks NeurIPS 2010 Learning with Tree-Averaged Densities and Distributions NeurIPS 2007