joint distribution

Matching Distributions between Model and Data: Cross-domain Knowledge Distillation for Unsupervised Domain Adaptation ACL 2021 On the Generative Utility of Cyclic Conditionals NeurIPS 2021 Lifted Query Answering in Gaussian Bayesian Networks PGM 2020 Multichannel Generative Language Model: Learning All Possible Factorizations Within and Across Channels EMNLP 2020 Multimodal Generative Learning Utilizing Jensen-Shannon-Divergence NeurIPS 2020 Neural Gibbs Sampling for Joint Event Argument Extraction AACL 2020 Fast and Flexible Inference of Joint Distributions from their Marginals ICML 2019 Generative Question Answering: Learning to Answer the Whole Question ICLR 2019 JointGAN: Multi-Domain Joint Distribution Learning with Generative Adversarial Nets ICML 2018 Deep Transfer Learning with Joint Adaptation Networks ICML 2017 Joint distribution optimal transportation for domain adaptation NeurIPS 2017 Improved Multimodal Deep Learning with Variation of Information NeurIPS 2014 Latent Variable Copula Inference for Bundle Pricing from Retail Transaction Data ICML 2014 Compressive neural representation of sparse, high-dimensional probabilities NeurIPS 2012 Cumulative Distribution Networks and the Derivative-sum-product Algorithm: Models and Inference for Cumulative Distribution Functions on Graphs JMLR 2011 Dirichlet Process Mixtures of Generalized Linear Models JMLR 2011 A joint maximum-entropy model for binary neural population patterns and continuous signals NeurIPS 2009 Characterizing neural dependencies with copula models NeurIPS 2008 Matching Words and Pictures JMLR 2003