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

110 papers, page 1 of 3

1. ICLR 2026Amortising Inference and Meta-Learning Priors in Neural Networks
2. ICLR 2026Bayesian Parameter Shift Rules in Variational Quantum Eigensolvers
3. ICLR 2026Bridging Kolmogorov Complexity and Deep Learning: Asymptotically Optimal Description Length Objectives for Transformers
4. ICLR 2026Decision Aggregation under Quantal Response
5. ICLR 2026Diffusion Bridge Variational Inference for Deep Gaussian Processes
6. ICLR 2026Discrete Variational Autoencoding via Policy Search
7. ICLR 2026Flow Map Learning via Games
8. ICLR 2026Forward-Learned Discrete Diffusion: Learning how to noise to denoise faster
9. ICLR 2026Learning Boltzmann Generators via Constrained Mass Transport
10. ICLR 2026Learning Survival Distributions with Individually Calibrated Asymmetric Laplace Distribution
11. ICLR 2026Multilevel Control Functional
12. ICLR 2026Neural Posterior Estimation with Latent Basis Expansions
13. ICLR 2026On the Mechanisms of Collaborative Learning in VAE Recommenders
14. ICLR 2026Optimizing Data Augmentation through Bayesian Model Selection
15. ICLR 2026Pareto Variational Autoencoder
16. ICLR 2026Permutation-Consistent Variational Encoding for Incomplete Multi-View Multi-Label Classification
17. ICLR 2026Proximal Diffusion Neural Sampler
18. ICLR 2026Random-projection ensemble dimension reduction
19. ICLR 2026Robust Generalized Schr\"{o}dinger Bridge via Sparse Variational Gaussian Processes
20. ICLR 2026Score-Based Density Estimation from Pairwise Comparisons
21. ICLR 2026Synthesising Counterfactual Explanations via Label-Conditional Gaussian Mixture Variational Autoencoders
22. ICLR 2026Variational Deep Learning via Implicit Regularization
23. ICLR 2026Variational Inference for Cyclic Learning
24. ICLR 2025Accelerating Neural ODEs: A Variational Formulation-based Approach
25. ICLR 2025Bridging the Gap between Variational Inference and Stochastic Gradient MCMC in Function Space
26. ICLR 2025Connecting Federated ADMM to Bayes
27. ICLR 2025Efficient Interpolation between Extragradient and Proximal Methods for Weak MVIs
28. ICLR 2025ELBOing Stein: Variational Bayes with Stein Mixture Inference
29. ICLR 2025Flow-based Variational Mutual Information: Fast and Flexible Approximations
30. ICLR 2025Improved Finite-Particle Convergence Rates for Stein Variational Gradient Descent
31. ICLR 2025Injective flows for star-like manifolds
32. ICLR 2025Microcanonical Langevin Ensembles: Advancing the Sampling of Bayesian Neural Networks
33. ICLR 2025Nonlinear multiregion neural dynamics with parametric impulse response communication channels
34. ICLR 2025Nonlinear Sequence Embedding by Monotone Variational Inequality
35. ICLR 2025On the Relation between Trainability and Dequantization of Variational Quantum Learning Models
36. ICLR 2025Random-Set Neural Networks
37. ICLR 2025Repulsive Latent Score Distillation for Solving Inverse Problems
38. ICLR 2025Residual Deep Gaussian Processes on Manifolds
39. ICLR 2025Risk-Sensitive Variational Actor-Critic: A Model-Based Approach
40. ICLR 2025Scalable Bayesian Learning with posteriors
41. ICLR 2025SoftCVI: Contrastive variational inference with self-generated soft labels
42. ICLR 2025Solving hidden monotone variational inequalities with surrogate losses
43. ICLR 2025Stochastic variance-reduced Gaussian variational inference on the Bures-Wasserstein manifold
44. ICLR 2025Support is All You Need for Certified VAE Training
45. ICLR 2025Token Statistics Transformer: Linear-Time Attention via Variational Rate Reduction
46. ICLR 2025VAE-Var: Variational Autoencoder-Enhanced Variational Methods for Data Assimilation in Meteorology
47. ICLR 2025Variational Bayesian Pseudo-Coreset
48. ICLR 2025Variational Best-of-N Alignment
49. ICLR 2025Variational Diffusion Posterior Sampling with Midpoint Guidance
50. ICLR 2025Variational Search Distributions

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.