variational inference

Meta-Learning Divergences for Variational Inference AISTATS 2021 Meta-Learning with Variational Semantic Memory for Word Sense Disambiguation ACL 2021 Meta-Reinforcement Learning by Tracking Task Non-stationarity IJCAI 2021 Mind the Gap when Conditioning Amortised Inference in Sequential Latent-Variable Models ICLR 2021 Mixture weights optimisation for Alpha-Divergence Variational Inference NeurIPS 2021 Modeling Bilingual Conversational Characteristics for Neural Chat Translation ACL 2021 Modeling Text using the Continuous Space Topic Model with Pre-Trained Word Embeddings ACL 2021 Model Selection for Bayesian Autoencoders NeurIPS 2021 Modified Frank Wolfe in Probability Space NeurIPS 2021 Modular Gaussian Processes for Transfer Learning NeurIPS 2021 Modular Self-Supervision for Document-Level Relation Extraction EMNLP 2021 Moment-Based Variational Inference for Stochastic Differential Equations AISTATS 2021 Monte Carlo Filtering Objectives IJCAI 2021 Moreau-Yosida f-divergences ICML 2021 Multi-class Gaussian Process Classification with Noisy Inputs JMLR 2021 Multi-Fidelity High-Order Gaussian Processes for Physical Simulation AISTATS 2021 Multilevel Monte Carlo Variational Inference JMLR 2021 Multi-view Learning as a Nonparametric Nonlinear Inter-Battery Factor Analysis JMLR 2021 Multi-View Representation Learning via Total Correlation Objective NeurIPS 2021 Neighbor2Neighbor: Self-Supervised Denoising From Single Noisy Images CVPR 2021 Nested Variational Inference NeurIPS 2021 Neural Approximate Sufficient Statistics for Implicit Models ICLR 2021 Neural Latent Space Model for Dynamic Networks and Temporal Knowledge Graphs AAAI 2021 Neural ODE Processes ICLR 2021 Neural Relation Inference for Multi-dimensional Temporal Point Processes via Message Passing Graph IJCAI 2021