variational inference

Aggregated Learning: A Vector-Quantization Approach to Learning Neural Network Classifiers AAAI 2020 A Graph Auto-Encoder for Haplotype Assembly and Viral Quasispecies Reconstruction AAAI 2020 A Graph to Graphs Framework for Retrosynthesis Prediction ICML 2020 AIN: Fast and Accurate Sequence Labeling with Approximate Inference Network EMNLP 2020 All in the Exponential Family: Bregman Duality in Thermodynamic Variational Inference ICML 2020 Amortised Learning by Wake-Sleep ICML 2020 Amortized Inference of Variational Bounds for Learning Noisy-OR AISTATS 2020 Amortized Population Gibbs Samplers with Neural Sufficient Statistics ICML 2020 Amortized variance reduction for doubly stochastic objective UAI 2020 A Non-Asymptotic Analysis for Stein Variational Gradient Descent NeurIPS 2020 Approximate Inference with Wasserstein Gradient Flows AISTATS 2020 Approximation Based Variance Reduction for Reparameterization Gradients NeurIPS 2020 Approximation of Response Knowledge Retrieval in Knowledge-grounded Dialogue Generation EMNLP 2020 A Probabilistic End-To-End Task-Oriented Dialog Model with Latent Belief States towards Semi-Supervised Learning EMNLP 2020 A Rule for Gradient Estimator Selection, with an Application to Variational Inference AISTATS 2020 Asymptotic Consistency of α-Rényi-Approximate Posteriors JMLR 2020 A Theoretical Case Study of Structured Variational Inference for Community Detection AISTATS 2020 A Unified Stochastic Gradient Approach to Designing Bayesian-Optimal Experiments AISTATS 2020 Autoencoding Pixies: Amortised Variational Inference with Graph Convolutions for Functional Distributional Semantics ACL 2020 Automatic Reparameterisation of Probabilistic Programs ICML 2020 A Variational Approach for Learning from Positive and Unlabeled Data NeurIPS 2020 A Variational Perturbative Approach to Planning in Graph-Based Markov Decision Processes AAAI 2020 Batch Stationary Distribution Estimation ICML 2020 Bayesian Adversarial Attack on Graph Neural Networks (Student Abstract) AAAI 2020 Bayesian Attention Modules NeurIPS 2020