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

359 papers, page 6 of 8

251. NeurIPS 2024Variational Delayed Policy Optimization
252. NeurIPS 2024Variational Multi-scale Representation for Estimating Uncertainty in 3D Gaussian Splatting
253. NeurIPS 2024VISA: Variational Inference with Sequential Sample-Average Approximations
254. CVPR 2023Catch Missing Details: Image Reconstruction With Frequency Augmented Variational Autoencoder
255. CVPR 2023Confidence-Aware Personalized Federated Learning via Variational Expectation Maximization
256. CVPR 2023CVT-SLR: Contrastive Visual-Textual Transformation for Sign Language Recognition With Variational Alignment
257. CVPR 2023Discriminating Known From Unknown Objects via Structure-Enhanced Recurrent Variational AutoEncoder
258. CVPR 2023Robust Outlier Rejection for 3D Registration With Variational Bayes
259. CVPR 2023Weakly Supervised Segmentation With Point Annotations for Histopathology Images via Contrast-Based Variational Model
260. ICLR 2023A Unified Approach to Reinforcement Learning, Quantal Response Equilibria, and Two-Player Zero-Sum Games
261. ICLR 2023A VAE for Transformers with Nonparametric Variational Information Bottleneck
262. ICLR 2023Approximate Bayesian Inference with Stein Functional Variational Gradient Descent
263. ICLR 2023Benchmarking Constraint Inference in Inverse Reinforcement Learning
264. ICLR 2023Calibrating Transformers via Sparse Gaussian Processes
265. ICLR 2023Classically Approximating Variational Quantum Machine Learning with Random Fourier Features
266. ICLR 2023DAVA: Disentangling Adversarial Variational Autoencoder
267. ICLR 2023Deep Variational Implicit Processes
268. ICLR 2023Denoising Diffusion Samplers
269. ICLR 2023Domain-Indexing Variational Bayes: Interpretable Domain Index for Domain Adaptation
270. ICLR 2023Explicitly Minimizing the Blur Error of Variational Autoencoders
271. ICLR 2023Federated Learning as Variational Inference: A Scalable Expectation Propagation Approach
272. ICLR 2023Function-space regularized Rényi divergences
273. ICLR 2023GFlowNets and variational inference
274. ICLR 2023Gromov-Wasserstein Autoencoders
275. ICLR 2023Interpretations of Domain Adaptations via Layer Variational Analysis
276. ICLR 2023Learning Continuous Normalizing Flows For Faster Convergence To Target Distribution via Ascent Regularizations
277. ICLR 2023Learning Group Importance using the Differentiable Hypergeometric Distribution
278. ICLR 2023Learning on Large-scale Text-attributed Graphs via Variational Inference
279. ICLR 2023Learning with Logical Constraints but without Shortcut Satisfaction
280. ICLR 2023Optimal Activation Functions for the Random Features Regression Model
281. ICLR 2023Particle-based Variational Inference with Preconditioned Functional Gradient Flow
282. ICLR 2023Predicting Cellular Responses with Variational Causal Inference and Refined Relational Information
283. ICLR 2023Real-time variational method for learning neural trajectory and its dynamics
284. ICLR 2023SAM as an Optimal Relaxation of Bayes
285. ICLR 2023Semi-Implicit Variational Inference via Score Matching
286. ICLR 2023Solving Constrained Variational Inequalities via a First-order Interior Point-based Method
287. ICLR 2023Solving stochastic weak Minty variational inequalities without increasing batch size
288. ICLR 2023The Tilted Variational Autoencoder: Improving Out-of-Distribution Detection
289. ICLR 2023Trading Information between Latents in Hierarchical Variational Autoencoders
290. ICLR 2023VA-DepthNet: A Variational Approach to Single Image Depth Prediction
291. ICLR 2023Variational Information Pursuit for Interpretable Predictions
292. ICLR 2023Variational Latent Branching Model for Off-Policy Evaluation
293. ICLR 2023Versatile Neural Processes for Learning Implicit Neural Representations
294. ICML 2023A Fast Optimistic Method for Monotone Variational Inequalities
295. ICML 2023Coupled Variational Autoencoder
296. ICML 2023Diverse and Faithful Knowledge-Grounded Dialogue Generation via Sequential Posterior Inference
297. ICML 2023Effective and Efficient Structural Inference with Reservoir Computing
298. ICML 2023Fast Inference from Transformers via Speculative Decoding
299. ICML 2023Forward-Backward Gaussian Variational Inference via JKO in the Bures-Wasserstein Space
300. ICML 2023Free-Form Variational Inference for Gaussian Process State-Space Models

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.