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variational inference

2069 papers

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VI

Co-occurring keywords

bayesian inference (1907) gaussian process (1200) generative model (2892) variational autoencoder (1288) latent variable model (564) probabilistic modeling (852) representation learning (6206) uncertainty quantification (1393) latent variable (541) approximate inference (253)

Papers

Learning Dynamic Hierarchical Topic Graph with Graph Convolutional Network for Document Classification AISTATS 2020
Learning spectrograms with convolutional spectral kernels AISTATS 2020
A Theoretical Case Study of Structured Variational Inference for Community Detection AISTATS 2020
Enriched mixtures of generalised Gaussian process experts AISTATS 2020
Amortized Inference of Variational Bounds for Learning Noisy-OR AISTATS 2020
Approximate Inference with Wasserstein Gradient Flows AISTATS 2020
Validated Variational Inference via Practical Posterior Error Bounds AISTATS 2020
Learning to Learn Variational Semantic Memory NIPS 2020
Scalable Nonparametric Factorization for High-Order Interaction Events AISTATS 2020
Radial Bayesian Neural Networks: Beyond Discrete Support In Large-Scale Bayesian Deep Learning AISTATS 2020
A Unified Stochastic Gradient Approach to Designing Bayesian-Optimal Experiments AISTATS 2020
Generating Correct Answers for Progressive Matrices Intelligence Tests NIPS 2020
Independent Subspace Analysis for Unsupervised Learning of Disentangled Representations AISTATS 2020
Walsh-Hadamard Variational Inference for Bayesian Deep Learning NIPS 2020
Capsule Routing via Variational Bayes AAAI 2020
Neural Topic Model with Attention for Supervised Learning AISTATS 2020
Variational Context-Deformable ConvNets for Indoor Scene Parsing CVPR 2020
Interpretable Deep Gaussian Processes with Moments AISTATS 2020
Introducing Routing Uncertainty in Capsule Networks NIPS 2020
Denoising Diffusion Probabilistic Models NIPS 2020
Constraining Variational Inference with Geometric Jensen-Shannon Divergence NIPS 2020
Factorized Inference in Deep Markov Models for Incomplete Multimodal Time Series AAAI 2020
Specifying Weight Priors in Bayesian Deep Neural Networks with Empirical Bayes AAAI 2020
Reconsidering Generative Objectives For Counterfactual Reasoning NIPS 2020
Amortized variance reduction for doubly stochastic objective UAI 2020