mixture distribution

Flowing Datasets with Wasserstein over Wasserstein Gradient Flows ICML 2025 Pareto-frontier Entropy Search with Variational Lower Bound Maximization ICML 2025 Prediction-Centric Uncertainty Quantification via MMD AISTATS 2025 Score-of-Mixture Training: One-Step Generative Model Training Made Simple via Score Estimation of Mixture Distributions ICML 2025 Learning to Shape In-distribution Feature Space for Out-of-distribution Detection NeurIPS 2024 Score Models for Offline Goal-Conditioned Reinforcement Learning ICLR 2024 Mode-Seeking Divergences: Theory and Applications to GANs AISTATS 2023 Beyond black box densities: Parameter learning for the deviated components NeurIPS 2022 Automatic Differentiation Variational Inference with Mixtures AISTATS 2021 Mix and Match: An Optimistic Tree-Search Approach for Learning Models from Mixture Distributions NeurIPS 2020 More Accurate Learning of k-DNF Reference Classes AAAI 2020 Marginal Inference in Continuous Markov Random Fields Using Mixtures AAAI 2019 Normalized Wasserstein for Mixture Distributions With Applications in Adversarial Learning and Domain Adaptation ICCV 2019 Pathwise Derivatives for Multivariate Distributions AISTATS 2019 Testing Mixtures of Discrete Distributions COLT 2019 Approximation properties of DBNs with binary hidden units and real-valued visible units ICML 2013 Coupling Nonparametric Mixtures via Latent Dirichlet Processes NeurIPS 2012