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 4 of 8

151. NeurIPS 2025Amplifying Prominent Representations in Multimodal Learning via Variational Dirichlet Process
152. NeurIPS 2025Asymptotically exact variational flows via involutive MCMC kernels
153. NeurIPS 2025Brain-like Variational Inference
154. NeurIPS 2025Covariate-moderated Empirical Bayes Matrix Factorization
155. NeurIPS 2025DualFocus: Depth from Focus with Spatio-Focal Dual Variational Constraints
156. NeurIPS 2025ESCORT: Efficient Stein-variational and Sliced Consistency-Optimized Temporal Belief Representation for POMDPs
157. NeurIPS 2025Fisher meets Feynman: score-based variational inference with a product of experts
158. NeurIPS 2025HoT-VI: Reparameterizable Variational Inference for Capturing Instance-Level High-Order Correlations
159. NeurIPS 2025Identifying interactions across brain areas while accounting for individual-neuron dynamics with a Transformer-based variational autoencoder
160. NeurIPS 2025Large Language Bayes
161. NeurIPS 2025Learning Stochastic Multiscale Models
162. NeurIPS 2025Least squares variational inference
163. NeurIPS 2025LoRA-EnVar: Parameter-Efficient Hybrid Ensemble Variational Assimilation for Weather Forecasting
164. NeurIPS 2025Nearly Dimension-Independent Convergence of Mean-Field Black-Box Variational Inference
165. NeurIPS 2025NeuralSurv: Deep Survival Analysis with Bayesian Uncertainty Quantification
166. NeurIPS 2025ProDAG: Projected Variational Inference for Directed Acyclic Graphs
167. NeurIPS 2025Quantifying Uncertainty in the Presence of Distribution Shifts
168. NeurIPS 2025Solving Inverse Problems with FLAIR
169. NeurIPS 2025Variational Inference with Mixtures of Isotropic Gaussians
170. NeurIPS 2025Variational Learning Finds Flatter Solutions at the Edge of Stability
171. NeurIPS 2025Variational Polya Tree
172. NeurIPS 2025Variational Regularized Unbalanced Optimal Transport: Single Network, Least Action
173. NeurIPS 2025Variational Supervised Contrastive Learning
174. NeurIPS 2025Variational Task Vector Composition
175. NeurIPS 2025Variational Uncertainty Decomposition for In-Context Learning
176. NeurIPS 2025VERA: Variational Inference Framework for Jailbreaking Large Language Models
177. NeurIPS 2025VIKING: Deep variational inference with stochastic projections
178. CVPR 2024Quantifying Uncertainty in Motion Prediction with Variational Bayesian Mixture
179. CVPR 2024SeNM-VAE: Semi-Supervised Noise Modeling with Hierarchical Variational Autoencoder
180. CVPR 2024WorDepth: Variational Language Prior for Monocular Depth Estimation
181. ICLR 2024$t^3$-Variational Autoencoder: Learning Heavy-tailed Data with Student's t and Power Divergence
182. ICLR 2024A Variational Framework for Estimating Continuous Treatment Effects with Measurement Error
183. ICLR 2024A Variational Perspective on Solving Inverse Problems with Diffusion Models
184. ICLR 2024Beyond Vanilla Variational Autoencoders: Detecting Posterior Collapse in Conditional and Hierarchical Variational Autoencoders
185. ICLR 2024Causal Inference with Conditional Front-Door Adjustment and Identifiable Variational Autoencoder
186. ICLR 2024Communication-Efficient Gradient Descent-Accent Methods for Distributed Variational Inequalities: Unified Analysis and Local Updates
187. ICLR 2024Conditional Variational Diffusion Models
188. ICLR 2024Decoupled Marked Temporal Point Process using Neural Ordinary Differential Equations
189. ICLR 2024DiffEnc: Variational Diffusion with a Learned Encoder
190. ICLR 2024Disentangling Time Series Representations via Contrastive Independence-of-Support on l-Variational Inference
191. ICLR 2024Fast Ensembling with Diffusion Schrödinger Bridge
192. ICLR 2024Fiber Monte Carlo
193. ICLR 2024Forward $\chi^2$ Divergence Based Variational Importance Sampling
194. ICLR 2024Input-gradient space particle inference for neural network ensembles
195. ICLR 2024Kernelised Normalising Flows
196. ICLR 2024Lewis's Signaling Game as beta-VAE For Natural Word Lengths and Segments
197. ICLR 2024MINDE: Mutual Information Neural Diffusion Estimation
198. ICLR 2024R-EDL: Relaxing Nonessential Settings of Evidential Deep Learning
199. ICLR 2024Rethinking the symmetry-preserving circuits for constrained variational quantum algorithms
200. ICLR 2024Stochastic Gradient Descent for Gaussian Processes Done Right

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.