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variational inference

2,345 papers

VI

Papers

Continuous-time edge modelling using non-parametric point processes NeurIPS 2021 Contrastive Graph Poisson Networks: Semi-Supervised Learning with Extremely Limited Labels NeurIPS 2021 Controllable Guarantees for Fair Outcomes via Contrastive Information Estimation AAAI 2021 Convex Potential Flows: Universal Probability Distributions with Optimal Transport and Convex Optimization ICLR 2021 Coupled Gradient Estimators for Discrete Latent Variables NeurIPS 2021 Cross-structural Factor-topic Model: Document Analysis with Sophisticated Covariates ACML 2021 DAGSurv: Directed Ayclic Graph Based Survival Analysis Using Deep Neural Networks ACML 2021 Decomposed Mutual Information Estimation for Contrastive Representation Learning ICML 2021 De-Confounded Variational Encoder-Decoder for Logical Table-to-Text Generation ACL 2021 Deep Conditional Gaussian Mixture Model for Constrained Clustering NeurIPS 2021 Deep Explicit Duration Switching Models for Time Series NeurIPS 2021 DeepGEM: Generalized Expectation-Maximization for Blind Inversion NeurIPS 2021 Deep kernel processes ICML 2021 Deep Neural Networks as Point Estimates for Deep Gaussian Processes NeurIPS 2021 Deep Probabilistic Canonical Correlation Analysis AAAI 2021 Deep Probabilistic Imaging: Uncertainty Quantification and Multi-modal Solution Characterization for Computational Imaging AAAI 2021 Deep Switching Auto-Regressive Factorization: Application to Time Series Forecasting AAAI 2021 DiBS: Differentiable Bayesian Structure Learning NeurIPS 2021 Differentiable Particle Filtering via Entropy-Regularized Optimal Transport ICML 2021 Diffusion Probabilistic Models for 3D Point Cloud Generation CVPR 2021 DiffWave: A Versatile Diffusion Model for Audio Synthesis ICLR 2021 Dirichlet Pruning for Convolutional Neural Networks AISTATS 2021 DiscoDVT: Generating Long Text with Discourse-Aware Discrete Variational Transformer EMNLP 2021 Discovering Non-monotonic Autoregressive Orderings with Variational Inference ICLR 2021 Disentangling Identifiable Features from Noisy Data with Structured Nonlinear ICA NeurIPS 2021