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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

The Infinite Contextual Graph Markov Model ICML 2022
Variational On-the-Fly Personalization ICML 2022
NeuralEF: Deconstructing Kernels by Deep Neural Networks ICML 2022
Improving Subgraph Recognition With Variational Graph Information Bottleneck CVPR 2022
Learning Robust Dynamics through Variational Sparse Gating NIPS 2022
Expectation programming: Adapting probabilistic programming systems to estimate expectations efficiently UAI 2022
Empirical Sampling from Latent Utterance-wise Evidence Model for Missing Data ASR based on Neural Encoder-Decoder Model INTERSPEECH 2022
Unified Multivariate Gaussian Mixture for Efficient Neural Image Compression CVPR 2022
Memory Augmented State Space Model for Time Series Forecasting IJCAI 2022
BaLeNAS: Differentiable Architecture Search via the Bayesian Learning Rule CVPR 2022
AS-IntroVAE: Adversarial Similarity Distance Makes Robust IntroVAE ACML 2022
Zero-Shot Logit Adjustment IJCAI 2022
Fast and Fine-grained Autoscaler for Streaming Jobs with Reinforcement Learning IJCAI 2022
Learning Mixture of Neural Temporal Point Processes for Multi-dimensional Event Sequence Clustering IJCAI 2022
Conditionally Tractable Density Estimation using Neural Networks AISTATS 2022
Variational Learning for Unsupervised Knowledge Grounded Dialogs IJCAI 2022
Representation Learning for Maximization of MI, Nonlinear ICA and Nonlinear Subspaces with Robust Density Ratio Estimation JMLR 2022
Escaping Feature Twist: A Variational Graph Auto-Encoder for Node Clustering IJCAI 2022
Variational Model Perturbation for Source-Free Domain Adaptation NIPS 2022
A Variational Edge Partition Model for Supervised Graph Representation Learning NIPS 2022
Amortized Inference for Causal Structure Learning NIPS 2022
Revisiting Active Sets for Gaussian Process Decoders NIPS 2022
Embrace the Gap: VAEs Perform Independent Mechanism Analysis NIPS 2022
Variational inference via Wasserstein gradient flows NIPS 2022
On the detrimental effect of invariances in the likelihood for variational inference NIPS 2022