Variational Inference papers, 2023–2026

Key findings

• Variational Inference fell from 106 papers in 2023 to 91 in 2026, so interest is cooling.
• NeurIPS publishes the most Variational Inference work: 124 papers from 2023 to 2026, 35% of the four-venue total.
• The fastest-growing overlap is with Sampling Methods: papers tagged with both rose from 1 in 2023 to 6 in 2026.
• Among the 5 topics under Probabilistic and Bayesian, it ranks #5 by 2026 paper count; the fastest grower in the group, Gaussian Processes, is up 2.2x versus 0.9x here.

Representative papers

Spread across years and venues so every edition shows up

• NeurIPS 2026A Reproducible Evaluation Protocol for Quantum Non-Linearity in Variational Quantum Models
• ICML 2026Beyond Independence: Learning Correlated Views for Variational Incomplete Multi-View Clustering
• ICLR 2026Optimizing Data Augmentation through Bayesian Model Selection
• CVPR 2026BrepVGAE Variational Graph Autoencoder with Unified Latent Representation for B-rep
• NeurIPS 2025Covariate-moderated Empirical Bayes Matrix Factorization
• ICML 2025A Variational Information Theoretic Approach to Out-of-Distribution Detection
• ICLR 2025Bridging the Gap between Variational Inference and Stochastic Gradient MCMC in Function Space
• CVPR 2025Dora: Sampling and Benchmarking for 3D Shape Variational Auto-Encoders
• NeurIPS 2024Training Binary Neural Networks via Gaussian Variational Inference and Low-Rank Semidefinite Programming
• ICML 2024Amortized Variational Deep Kernel Learning
• ICLR 2024Causal Inference with Conditional Front-Door Adjustment and Identifiable Variational Autoencoder
• CVPR 2024WorDepth: Variational Language Prior for Monocular Depth Estimation
• NeurIPS 2023[Re] Variational Neural Cellular Automata
• ICML 2023Coupled Variational Autoencoder
• ICLR 2023A VAE for Transformers with Nonparametric Variational Information Bottleneck
• CVPR 2023Confidence-Aware Personalized Federated Learning via Variational Expectation Maximization
• NeurIPS 2026Adaptive Delayed-Update Cyclic Algorithm for Variational Inequalities
• ICML 2026Dual-stage Contrastive Learning-enhanced Multi-view Variational Clustering
• ICLR 2026Pareto Variational Autoencoder
• CVPR 2026Variational Graph-based Normal Integration

All Variational Inference papers

28 papers, page 1 of 1

1. ICML 2025$K^2$VAE: A Koopman-Kalman Enhanced Variational AutoEncoder for Probabilistic Time Series Forecasting
2. ICML 2025A Variational Information Theoretic Approach to Out-of-Distribution Detection
3. ICML 2025Aggregation of Dependent Expert Distributions in Multimodal Variational Autoencoders
4. ICML 2025Be a Goldfish: Forgetting Bad Conditioning in Sparse Linear Regression via Variational Autoencoders
5. ICML 2025Censor Dependent Variational Inference
6. ICML 2025Continuous Semi-Implicit Models
7. ICML 2025Cross-Modal Alignment via Variational Copula Modelling
8. ICML 2025Deep Bayesian Filter for Bayes-Faithful Data Assimilation
9. ICML 2025Expected Variational Inequalities
10. ICML 2025Federated Generalised Variational Inference: A Robust Probabilistic Federated Learning Framework
11. ICML 2025Flexible Tails for Normalizing Flows
12. ICML 2025Global-Local Dirichlet Processes for Clustering Grouped Data in the Presence of Group-Specific Idiosyncratic Variables
13. ICML 2025Identifying Causal Direction via Variational Bayesian Compression
14. ICML 2025Layer-wise Quantization for Quantized Optimistic Dual Averaging
15. ICML 2025Learning Likelihood-Free Reference Priors
16. ICML 2025Multilayer Matrix Factorization via Dimension-Reducing Diffusion Variational Inference
17. ICML 2025Neural Guided Diffusion Bridges
18. ICML 2025New Bounds for Sparse Variational Gaussian Processes
19. ICML 2025Pareto-frontier Entropy Search with Variational Lower Bound Maximization
20. ICML 2025Revisiting Unbiased Implicit Variational Inference
21. ICML 2025Score Matching with Missing Data
22. ICML 2025Synonymous Variational Inference for Perceptual Image Compression
23. ICML 2025Tensor-Var: Efficient Four-Dimensional Variational Data Assimilation
24. ICML 2025Variational Counterfactual Intervention Planning to Achieve Target Outcomes
25. ICML 2025Variational Learning of Fractional Posteriors
26. ICML 2025Variational Phylogenetic Inference with Products over Bipartitions
27. ICML 2025Variational Rectified Flow Matching
28. ICML 2025VCT: Training Consistency Models with Variational Noise Coupling

FAQ

How many Variational Inference papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?

359 in total: 106 in 2023, 76 in 2024, 86 in 2025, 91 in 2026.

How many Variational Inference papers are at NeurIPS 2026?

NeurIPS 2026 has 30 Variational Inference papers, versus 28 the year before.

How many Variational Inference papers are at ICLR 2026?

ICLR 2026 has 23 Variational Inference papers, versus 28 the year before.

How many Variational Inference papers are at ICML 2026?

ICML 2026 has 35 Variational Inference papers, versus 28 the year before.

How many Variational Inference papers are at CVPR 2026?

CVPR 2026 has 3 Variational Inference papers, versus 2 the year before.

Which conference publishes the most Variational Inference papers?

NeurIPS, with 124 papers from 2023 to 2026.