latent variable model

Variational Sequential Labelers for Semi-Supervised Learning EMNLP 2018 A Conditional Variational Framework for Dialog Generation ACL 2017 Acoustic Feature Learning via Deep Variational Canonical Correlation Analysis Interspeech 2017 A Disentangled Recognition and Nonlinear Dynamics Model for Unsupervised Learning NeurIPS 2017 A Mutually-Dependent Hadamard Kernel for Modelling Latent Variable Couplings ACML 2017 Analyzing Tensor Power Method Dynamics in Overcomplete Regime JMLR 2017 Causal Effect Inference with Deep Latent-Variable Models NeurIPS 2017 Dynamic Word Embeddings ICML 2017 Efficient Modeling of Latent Information in Supervised Learning using Gaussian Processes NeurIPS 2017 Exact Inference for Integer Latent-Variable Models ICML 2017 Excess Risk Bounds for the Bayes Risk using Variational Inference in Latent Gaussian Models NeurIPS 2017 Extracting and Understanding Contrastive Opinion through Topic Relevant Sentences IJCNLP 2017 Filtering Variational Objectives NeurIPS 2017 Gaussian process based nonlinear latent structure discovery in multivariate spike train data NeurIPS 2017 GibbsNet: Iterative Adversarial Inference for Deep Graphical Models NeurIPS 2017 Hierarchical Methods of Moments NeurIPS 2017 High-Dimensional Variance-Reduced Stochastic Gradient Expectation-Maximization Algorithm ICML 2017 InfoGAIL: Interpretable Imitation Learning from Visual Demonstrations NeurIPS 2017 Latent Intention Dialogue Models 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 Nonlinear Maximum Margin Multi-View Learning with Adaptive Kernel IJCAI 2017 Online but Accurate Inference for Latent Variable Models with Local Gibbs Sampling JMLR 2017 On the Optimization Landscape of Tensor Decompositions NeurIPS 2017 Partitioned Tensor Factorizations for Learning Mixed Membership Models ICML 2017