variational inference

Deep Graph Pose: a semi-supervised deep graphical model for improved animal pose tracking NeurIPS 2020 Deep Relational Topic Modeling via Graph Poisson Gamma Belief Network NeurIPS 2020 Deep Sigma Point Processes UAI 2020 Deep Structural Causal Models for Tractable Counterfactual Inference NeurIPS 2020 Deep Structured Mixtures of Gaussian Processes AISTATS 2020 Deep Transformers with Latent Depth NeurIPS 2020 Denoising Diffusion Probabilistic Models NeurIPS 2020 DGE: Deep Generative Network Embedding Based on Commonality and Individuality AAAI 2020 Dialogue State Induction Using Neural Latent Variable Models IJCAI 2020 Differentiable Algorithm for Marginalising Changepoints AAAI 2020 DisARM: An Antithetic Gradient Estimator for Binary Latent Variables NeurIPS 2020 Discrete Latent Variable Representations for Low-Resource Text Classification ACL 2020 Disentangled Variational Autoencoder based Multi-Label Classification with Covariance-Aware Multivariate Probit Model IJCAI 2020 Disentanglement by Nonlinear ICA with General Incompressible-flow Networks (GIN) ICLR 2020 Dissecting Non-Vacuous Generalization Bounds based on the Mean-Field Approximation ICML 2020 Diversified Interactive Recommendation with Implicit Feedback AAAI 2020 Doubly Sparse Variational Gaussian Processes AISTATS 2020 Doubly Stochastic Variational Inference for Neural Processes with Hierarchical Latent Variables ICML 2020 DualSDF: Semantic Shape Manipulation Using a Two-Level Representation CVPR 2020 Effective Decoding in Graph Auto-Encoder Using Triadic Closure AAAI 2020 Effective Estimation of Deep Generative Language Models ACL 2020 Efficient and Scalable Bayesian Neural Nets with Rank-1 Factors ICML 2020 Efficient Inference for Nonparametric Hawkes Processes Using Auxiliary Latent Variables JMLR 2020 Efficient Low Rank Gaussian Variational Inference for Neural Networks NeurIPS 2020 Efficient Marginalization of Discrete and Structured Latent Variables via Sparsity NeurIPS 2020