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

22 papers, page 1 of 1

1. ICML 2023A Fast Optimistic Method for Monotone Variational Inequalities
2. ICML 2023Coupled Variational Autoencoder
3. ICML 2023Diverse and Faithful Knowledge-Grounded Dialogue Generation via Sequential Posterior Inference
4. ICML 2023Effective and Efficient Structural Inference with Reservoir Computing
5. ICML 2023Fast Inference from Transformers via Speculative Decoding
6. ICML 2023Forward-Backward Gaussian Variational Inference via JKO in the Bures-Wasserstein Space
7. ICML 2023Free-Form Variational Inference for Gaussian Process State-Space Models
8. ICML 2023Markovian Gaussian Process Variational Autoencoders
9. ICML 2023Metagenomic Binning using Connectivity-constrained Variational Autoencoders
10. ICML 2023MetaModulation: Learning Variational Feature Hierarchies for Few-Shot Learning with Fewer Tasks
11. ICML 2023MixFlows: principled variational inference via mixed flows
12. ICML 2023Modality-Agnostic Variational Compression of Implicit Neural Representations
13. ICML 2023Neural Network Approximations of PDEs Beyond Linearity: A Representational Perspective
14. ICML 2023Practical and Matching Gradient Variance Bounds for Black-Box Variational Bayesian Inference
15. ICML 2023QuantumDARTS: Differentiable Quantum Architecture Search for Variational Quantum Algorithms
16. ICML 2023Revisiting Structured Variational Autoencoders
17. ICML 2023Robust Weak Supervision with Variational Auto-Encoders
18. ICML 2023Sample Complexity of Probability Divergences under Group Symmetry
19. ICML 2023Variational Autoencoding Neural Operators
20. ICML 2023Variational Curriculum Reinforcement Learning for Unsupervised Discovery of Skills
21. ICML 2023Variational Open-Domain Question Answering
22. ICML 2023Variational Sparse Inverse Cholesky Approximation for Latent Gaussian Processes via Double Kullback-Leibler Minimization

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.