variational inference

Zero-Resource Knowledge-Grounded Dialogue Generation NeurIPS 2020 A Bayesian model for sparse graphs with flexible degree distribution and overlapping community structure AISTATS 2019 A Contrastive Divergence for Combining Variational Inference and MCMC ICML 2019 A Cross-Sentence Latent Variable Model for Semi-Supervised Text Sequence Matching ACL 2019 A Deep Factorization of Style and Structure in Fonts EMNLP 2019 Adversarial Imitation via Variational Inverse Reinforcement Learning ICLR 2019 Adversarial Variational Optimization of Non-Differentiable Simulators AISTATS 2019 A Flexible Generative Framework for Graph-based Semi-supervised Learning NeurIPS 2019 A Generalization Bound for Online Variational Inference ACML 2019 A Generative Model For Electron Paths ICLR 2019 A Latent Variational Framework for Stochastic Optimization NeurIPS 2019 Amortized Bethe Free Energy Minimization for Learning MRFs NeurIPS 2019 Amortized Variational Inference with Graph Convolutional Networks for Gaussian Processes AISTATS 2019 A Multi-Task Approach for Disentangling Syntax and Semantics in Sentence Representations NAACL 2019 An Instability in Variational Inference for Topic Models ICML 2019 A Particle-Based Variational Approach to Bayesian Non-negative Matrix Factorization JMLR 2019 Approximate Bayesian Inference in Spatial Environments RSS 2019 A Regularized Opponent Model with Maximum Entropy Objective IJCAI 2019 ARM: Augment-REINFORCE-Merge Gradient for Stochastic Binary Networks ICLR 2019 A state-space model for inferring effective connectivity of latent neural dynamics from simultaneous EEG/fMRI NeurIPS 2019 A Statistically Principled and Computationally Efficient Approach to Speech Enhancement Using Variational Autoencoders Interspeech 2019 Attentive Neural Processes ICLR 2019 Attentive State-Space Modeling of Disease Progression NeurIPS 2019 Augmenting and Tuning Knowledge Graph Embeddings UAI 2019 Auto-Encoding Variational Neural Machine Translation ACL 2019