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 3 of 8

101. ICLR 2025Injective flows for star-like manifolds
102. ICLR 2025Microcanonical Langevin Ensembles: Advancing the Sampling of Bayesian Neural Networks
103. ICLR 2025Nonlinear multiregion neural dynamics with parametric impulse response communication channels
104. ICLR 2025Nonlinear Sequence Embedding by Monotone Variational Inequality
105. ICLR 2025On the Relation between Trainability and Dequantization of Variational Quantum Learning Models
106. ICLR 2025Random-Set Neural Networks
107. ICLR 2025Repulsive Latent Score Distillation for Solving Inverse Problems
108. ICLR 2025Residual Deep Gaussian Processes on Manifolds
109. ICLR 2025Risk-Sensitive Variational Actor-Critic: A Model-Based Approach
110. ICLR 2025Scalable Bayesian Learning with posteriors
111. ICLR 2025SoftCVI: Contrastive variational inference with self-generated soft labels
112. ICLR 2025Solving hidden monotone variational inequalities with surrogate losses
113. ICLR 2025Stochastic variance-reduced Gaussian variational inference on the Bures-Wasserstein manifold
114. ICLR 2025Support is All You Need for Certified VAE Training
115. ICLR 2025Token Statistics Transformer: Linear-Time Attention via Variational Rate Reduction
116. ICLR 2025VAE-Var: Variational Autoencoder-Enhanced Variational Methods for Data Assimilation in Meteorology
117. ICLR 2025Variational Bayesian Pseudo-Coreset
118. ICLR 2025Variational Best-of-N Alignment
119. ICLR 2025Variational Diffusion Posterior Sampling with Midpoint Guidance
120. ICLR 2025Variational Search Distributions
121. ICLR 2025When do GFlowNets learn the right distribution?
122. ICML 2025$K^2$VAE: A Koopman-Kalman Enhanced Variational AutoEncoder for Probabilistic Time Series Forecasting
123. ICML 2025A Variational Information Theoretic Approach to Out-of-Distribution Detection
124. ICML 2025Aggregation of Dependent Expert Distributions in Multimodal Variational Autoencoders
125. ICML 2025Be a Goldfish: Forgetting Bad Conditioning in Sparse Linear Regression via Variational Autoencoders
126. ICML 2025Censor Dependent Variational Inference
127. ICML 2025Continuous Semi-Implicit Models
128. ICML 2025Cross-Modal Alignment via Variational Copula Modelling
129. ICML 2025Deep Bayesian Filter for Bayes-Faithful Data Assimilation
130. ICML 2025Expected Variational Inequalities
131. ICML 2025Federated Generalised Variational Inference: A Robust Probabilistic Federated Learning Framework
132. ICML 2025Flexible Tails for Normalizing Flows
133. ICML 2025Global-Local Dirichlet Processes for Clustering Grouped Data in the Presence of Group-Specific Idiosyncratic Variables
134. ICML 2025Identifying Causal Direction via Variational Bayesian Compression
135. ICML 2025Layer-wise Quantization for Quantized Optimistic Dual Averaging
136. ICML 2025Learning Likelihood-Free Reference Priors
137. ICML 2025Multilayer Matrix Factorization via Dimension-Reducing Diffusion Variational Inference
138. ICML 2025Neural Guided Diffusion Bridges
139. ICML 2025New Bounds for Sparse Variational Gaussian Processes
140. ICML 2025Pareto-frontier Entropy Search with Variational Lower Bound Maximization
141. ICML 2025Revisiting Unbiased Implicit Variational Inference
142. ICML 2025Score Matching with Missing Data
143. ICML 2025Synonymous Variational Inference for Perceptual Image Compression
144. ICML 2025Tensor-Var: Efficient Four-Dimensional Variational Data Assimilation
145. ICML 2025Variational Counterfactual Intervention Planning to Achieve Target Outcomes
146. ICML 2025Variational Learning of Fractional Posteriors
147. ICML 2025Variational Phylogenetic Inference with Products over Bipartitions
148. ICML 2025Variational Rectified Flow Matching
149. ICML 2025VCT: Training Consistency Models with Variational Noise Coupling
150. NeurIPS 2025Amortized Variational Transdimensional Inference

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.