variational inference

Efficient Non-conjugate Gaussian Process Factor Models for Spike Count Data using Polynomial Approximations ICML 2020 Efficient Probabilistic Logic Reasoning with Graph Neural Networks ICLR 2020 Efficient Variational Inference for Sparse Deep Learning with Theoretical Guarantee NeurIPS 2020 EmoElicitor: An Open Domain Response Generation Model with User Emotional Reaction Awareness IJCAI 2020 Empirical Bayes Transductive Meta-Learning with Synthetic Gradients ICLR 2020 Empirical Study of the Benefits of Overparameterization in Learning Latent Variable Models ICML 2020 Enriched mixtures of generalised Gaussian process experts AISTATS 2020 Expectation Propagation as a Way of Life: A Framework for Bayesian Inference on Partitioned Data JMLR 2020 Expected Information Maximization: Using the I-Projection for Mixture Density Estimation ICLR 2020 Factorized Inference in Deep Markov Models for Incomplete Multimodal Time Series AAAI 2020 Fast and Flexible Temporal Point Processes with Triangular Maps NeurIPS 2020 Fast Bayesian Inference of Sparse Networks with Automatic Sparsity Determination JMLR 2020 Fast Matrix Square Roots with Applications to Gaussian Processes and Bayesian Optimization NeurIPS 2020 Fast Task Inference with Variational Intrinsic Successor Features ICLR 2020 f-Divergence Variational Inference NeurIPS 2020 Flexible Approximate Inference via Stratified Normalizing Flows UAI 2020 Food and Liquid Sensing in Practical Environments using RFIDs NSDI 2020 From Sets to Multisets: Provable Variational Inference for Probabilistic Integer Submodular Models ICML 2020 Gaussian Process Bandit Optimization of the Thermodynamic Variational Objective NeurIPS 2020 General Latent Feature Models for Heterogeneous Datasets JMLR 2020 General Purpose MRF Learning with Neural Network Potentials IJCAI 2020 Generating and Exploiting Probabilistic Monocular Depth Estimates CVPR 2020 Generating Correct Answers for Progressive Matrices Intelligence Tests NeurIPS 2020 Generating Diverse Translation from Model Distribution with Dropout EMNLP 2020 Generative Semantic Hashing Enhanced via Boltzmann Machines ACL 2020