latent variable

A Mutually-Dependent Hadamard Kernel for Modelling Latent Variable Couplings ACML 2017 A Practical Perspective on Latent Structured Prediction for Coreference Resolution EACL 2017 Automatic Differentiation Variational Inference JMLR 2017 A Variational Autoencoding Approach for Inducing Cross-lingual Word Embeddings IJCAI 2017 Causal Effect Inference with Deep Latent-Variable Models NeurIPS 2017 Coarse-to-Fine Question Answering for Long Documents ACL 2017 Coordinated Multi-Agent Imitation Learning ICML 2017 Deep Dynamic Poisson Factorization Model NeurIPS 2017 Deep Recurrent Generative Decoder for Abstractive Text Summarization EMNLP 2017 Detecting Perspectives in Political Debates EMNLP 2017 Exact Inference for Integer Latent-Variable Models ICML 2017 Experimental Design for Learning Causal Graphs with Latent Variables NeurIPS 2017 Image-to-Markup Generation with Coarse-to-Fine Attention ICML 2017 Latent Variable Dialogue Models and their Diversity EACL 2017 Learning Discourse-level Diversity for Neural Dialog Models using Conditional Variational Autoencoders ACL 2017 Multi-space Variational Encoder-Decoders for Semi-supervised Labeled Sequence Transduction ACL 2017 Neural Net Models of Open-domain Discourse Coherence EMNLP 2017 Partitioned Tensor Factorizations for Learning Mixed Membership Models ICML 2017 Reference-Aware Language Models EMNLP 2017 Robust Probabilistic Modeling with Bayesian Data Reweighting ICML 2017 SPLICE: Fully Tractable Hierarchical Extension of ICA with Pooling ICML 2017 Voice Conversion from Unaligned Corpora Using Variational Autoencoding Wasserstein Generative Adversarial Networks Interspeech 2017 An Architecture for Deep, Hierarchical Generative Models NeurIPS 2016 Anchor-Free Correlated Topic Modeling: Identifiability and Algorithm NeurIPS 2016 Blind Regression: Nonparametric Regression for Latent Variable Models via Collaborative Filtering NeurIPS 2016