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Variational Inference

275 papers

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Papers

SVQN: Sequential Variational Soft Q-Learning Networks ICLR 2020 Temporal Positive-unlabeled Learning for Biomedical Hypothesis Generation via Risk Estimation NeurIPS 2020 The k-tied Normal Distribution: A Compact Parameterization of Gaussian Mean Field Posteriors in Bayesian Neural Networks ICML 2020 The Variational Bandwidth Bottleneck: Stochastic Evaluation on an Information Budget ICLR 2020 Total Deep Variation for Linear Inverse Problems CVPR 2020 Variance Reduction and Quasi-Newton for Particle-Based Variational Inference ICML 2020 Variational Inference for Graph Convolutional Networks in the Absence of Graph Data and Adversarial Settings NeurIPS 2020 Variational Recurrent Models for Solving Partially Observable Control Tasks ICLR 2020 Variational Template Machine for Data-to-Text Generation ICLR 2020 Walsh-Hadamard Variational Inference for Bayesian Deep Learning NeurIPS 2020 A Generalization Bound for Online Variational Inference ACML 2019 A Latent Variational Framework for Stochastic Optimization NeurIPS 2019 Interleave Variational Optimization with Monte Carlo Sampling: A Tale of Two Approximate Inference Paradigms AAAI 2019 Lagging Inference Networks and Posterior Collapse in Variational Autoencoders ICLR 2019 Scalable Spike Source Localization in Extracellular Recordings using Amortized Variational Inference NeurIPS 2019 Stein Variational Gradient Descent With Matrix-Valued Kernels NeurIPS 2019 Trust Region Sequential Variational Inference ACML 2019 Universal Boosting Variational Inference NeurIPS 2019 Variational BEJG Solvers for Marginal-MAP Inference with Accurate Approximation of B-Conditional Entropy AAAI 2019 Variational Convolutional Neural Network Pruning CVPR 2019 Variational Inference from Ranked Samples with Features ACML 2019 Variational Information Distillation for Knowledge Transfer CVPR 2019 Provable Variational Inference for Constrained Log-Submodular Models NeurIPS 2018 Tighter Variational Bounds are Not Necessarily Better ICML 2018 Variational Inference and Deep Generative Models ACL 2018