amortized inference

Amortized Bayesian Optimization over Discrete Spaces UAI 2020 Amortized Finite Element Analysis for Fast PDE-Constrained Optimization ICML 2020 Amortized Inference of Variational Bounds for Learning Noisy-OR AISTATS 2020 Amortized Population Gibbs Samplers with Neural Sufficient Statistics ICML 2020 AR-DAE: Towards Unbiased Neural Entropy Gradient Estimation ICML 2020 Autoencoding Pixies: Amortised Variational Inference with Graph Convolutions for Functional Distributional Semantics ACL 2020 Discrete Latent Variable Representations for Low-Resource Text Classification ACL 2020 Infomax Neural Joint Source-Channel Coding via Adversarial Bit Flip AAAI 2020 Learning from the Past: Continual Meta-Learning with Bayesian Graph Neural Networks AAAI 2020 Learning Sparse Prototypes for Text Generation NeurIPS 2020 Localizing and Amortizing: Efficient Inference for Gaussian Processes ACML 2020 Meta-Amortized Variational Inference and Learning AAAI 2020 Meta-Learning with Shared Amortized Variational Inference ICML 2020 Narrative Text Generation with a Latent Discrete Plan EMNLP 2020 On the Encoder-Decoder Incompatibility in Variational Text Modeling and Beyond ACL 2020 PCMC-Net: Feature-based Pairwise Choice Markov Chains ICLR 2020 Recursive Inference for Variational Autoencoders NeurIPS 2020 Structured Conditional Continuous Normalizing Flows for Efficient Amortized Inference in Graphical Models AISTATS 2020 Target–Aware Bayesian Inference: How to Beat Optimal Conventional Estimators JMLR 2020 Task-Agnostic Amortized Inference of Gaussian Process Hyperparameters NeurIPS 2020 The Autoencoding Variational Autoencoder NeurIPS 2020 Amortized Bethe Free Energy Minimization for Learning MRFs NeurIPS 2019 Amortized Monte Carlo Integration ICML 2019 Amortized Variational Inference with Graph Convolutional Networks for Gaussian Processes AISTATS 2019 Auto-Encoding Variational Neural Machine Translation ACL 2019