variational inference

Sparse Algorithms for Markovian Gaussian Processes AISTATS 2021 Sparse Gaussian Processes Revisited: Bayesian Approaches to Inducing-Variable Approximations AISTATS 2021 Sparse within Sparse Gaussian Processes using Neighbor Information ICML 2021 Spatio-Temporal Variational Gaussian Processes NeurIPS 2021 Statistical Guarantees for Transformation Based Models with applications to Implicit Variational Inference AISTATS 2021 Stochastic Transformer Networks With Linear Competing Units: Application To End-to-End SL Translation ICCV 2021 Storchastic: A Framework for General Stochastic Automatic Differentiation NeurIPS 2021 Streaming Bayesian Deep Tensor Factorization ICML 2021 Structure-Aware Random Fourier Kernel for Graphs NeurIPS 2021 Structured Denoising Diffusion Models in Discrete State-Spaces NeurIPS 2021 Structured Dropout Variational Inference for Bayesian Neural Networks NeurIPS 2021 Submodel Decomposition Bounds for Influence Diagrams AAAI 2021 Subset-of-data variational inference for deep Gaussian-processes regression UAI 2021 Symmetric Wasserstein autoencoders UAI 2021 Synergetic Learning of Heterogeneous Temporal Sequences for Multi-Horizon Probabilistic Forecasting AAAI 2021 TAN-NTM: Topic Attention Networks for Neural Topic Modeling ACL 2021 Task-Aware Variational Adversarial Active Learning CVPR 2021 Temporal Latent Auto-Encoder: A Method for Probabilistic Multivariate Time Series Forecasting AAAI 2021 The Multiple Instance Learning Gaussian Process Probit Model AISTATS 2021 The neural moving average model for scalable variational inference of state space models UAI 2021 Tighter Bounds on the Log Marginal Likelihood of Gaussian Process Regression Using Conjugate Gradients ICML 2021 Tomographic Auto-Encoder: Unsupervised Bayesian Recovery of Corrupted Data ICLR 2021 Towards a Theoretical Understanding of the Robustness of Variational Autoencoders AISTATS 2021 Towards Generating Summaries for Lexically Confusing Code through Code Erosion IJCAI 2021 Tracking Disease Outbreaks from Sparse Data with Bayesian Inference AAAI 2021