variational inference

Nonparametric Decomposition of Sparse Tensors ICML 2021 Normalizing Flows for Probabilistic Modeling and Inference JMLR 2021 not-MIWAE: Deep Generative Modelling with Missing not at Random Data ICLR 2021 NP-DRAW: A Non-Parametric Structured Latent Variable Model for Image Generation UAI 2021 Objective Bound Conditional Gaussian Process for Bayesian Optimization ICML 2021 Offline Meta Reinforcement Learning -- Identifiability Challenges and Effective Data Collection Strategies NeurIPS 2021 One-Shot Image Recognition Using Prototypical Encoders With Reduced Hubness WACV 2021 Online Variational Filtering and Parameter Learning NeurIPS 2021 On Multilevel Monte Carlo Unbiased Gradient Estimation for Deep Latent Variable Models AISTATS 2021 On the difficulty of unbiased alpha divergence minimization ICML 2021 On the Generative Utility of Cyclic Conditionals NeurIPS 2021 On the Stochastic Stability of Deep Markov Models NeurIPS 2021 On Variational Inference in Biclustering Models ICML 2021 Optimality of variational inference for stochasticblock model with missing links NeurIPS 2021 Order Matters: Probabilistic Modeling of Node Sequence for Graph Generation ICML 2021 Outcome-Driven Reinforcement Learning via Variational Inference NeurIPS 2021 PALM: Probabilistic area loss Minimization for Protein Sequence Alignment UAI 2021 PixelTransformer: Sample Conditioned Signal Generation ICML 2021 Posterior Collapse and Latent Variable Non-identifiability NeurIPS 2021 Posterior Promoted GAN With Distribution Discriminator for Unsupervised Image Synthesis CVPR 2021 Prediction by Anticipation: An Action-Conditional Prediction Method Based on Interaction Learning ICCV 2021 Probabilistic Modeling for Human Mesh Recovery ICCV 2021 Probabilistic Programs with Stochastic Conditioning ICML 2021 Probabilistic Tensor Decomposition of Neural Population Spiking Activity NeurIPS 2021 Probabilistic Transformer For Time Series Analysis NeurIPS 2021