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← Bayesian & Probabilistic
Machine Learning
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Bayesian & Probabilistic
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Variational Inference
767 directly classified papers
Papers per year
2003: 1
2005: 3
2006: 10
2007: 8
2008: 7
2009: 8
2010: 14
2011: 10
2012: 28
2013: 24
2014: 25
2015: 32
2016: 24
2017: 48
2018: 55
2019: 61
2020: 98
2021: 85
2022: 81
2023: 61
2024: 70
2025: 14
Papers
Variational Model Perturbation for Source-Free Domain Adaptation
NIPS 2022
Improving Variational Autoencoders with Density Gap-based Regularization
NIPS 2022
Variational inference via Wasserstein gradient flows
NIPS 2022
Graph Structure Learning with Variational Information Bottleneck
AAAI 2022
Rethinking Variational Inference for Probabilistic Programs with Stochastic Support
NIPS 2022
Approximate Inference for Stochastic Planning in Factored Spaces
PGM 2022
Improving Subgraph Recognition With Variational Graph Information Bottleneck
CVPR 2022
Cross-Linked Unified Embedding for cross-modality representation learning
NIPS 2022
Non-Autoregressive Neural Machine Translation with Consistency Regularization Optimized Variational Framework
NAACL 2022
Learning Bayesian Sparse Networks With Full Experience Replay for Continual Learning
CVPR 2022
Fast Instrument Learning with Faster Rates
NIPS 2022
Learning Degradation Uncertainty for Unsupervised Real-world Image Super-resolution
IJCAI 2022
Symplectic Spectrum Gaussian Processes: Learning Hamiltonians from Noisy and Sparse Data
NIPS 2022
Split Hierarchical Variational Compression
CVPR 2022
A Variational Bayesian Method for Similarity Learning in Non-Rigid Image Registration
CVPR 2022
Revisiting Active Sets for Gaussian Process Decoders
NIPS 2022
On the Robustness to Misspecification of α-posteriors and Their Variational Approximations
JMLR 2022
Mutual Information Constraints for Monte-Carlo Objectives to Prevent Posterior Collapse Especially in Language Modelling
JMLR 2022
Bayesian Multinomial Logistic Normal Models through Marginally Latent Matrix-T Processes
JMLR 2022
Asymptotic Properties for Bayesian Neural Network in Besov Space
NIPS 2022
Natural image synthesis for the retina with variational information bottleneck representation
NIPS 2022
A Variational Edge Partition Model for Supervised Graph Representation Learning
NIPS 2022
Variational Inference for Infinitely Deep Neural Networks
ICML 2022
On the detrimental effect of invariances in the likelihood for variational inference
NIPS 2022
Function-space Inference with Sparse Implicit Processes
ICML 2022
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