变分推断论文趋势 2023–2026

VI 与 ELBO

统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 359 篇被归入该主题的论文。

主要结论

每年论文数

各会议论文数

按年份和会议统计

变分推断论文数，按年份和会议
年份NeurIPSICLRICMLCVPR合计
20234434226106
2024222526376
2025282828286
2026302335391

代表论文

按年份和会议均匀挑选，方便快速看到每一届的样貌

全部变分推断论文

年份全部2023202420252026
会议全部NeurIPSICLRICMLCVPR

共 359 篇，第 7 / 8 页

  1. ICML 2023Markovian Gaussian Process Variational Autoencoders
  2. ICML 2023Metagenomic Binning using Connectivity-constrained Variational Autoencoders
  3. ICML 2023MetaModulation: Learning Variational Feature Hierarchies for Few-Shot Learning with Fewer Tasks
  4. ICML 2023MixFlows: principled variational inference via mixed flows
  5. ICML 2023Modality-Agnostic Variational Compression of Implicit Neural Representations
  6. ICML 2023Neural Network Approximations of PDEs Beyond Linearity: A Representational Perspective
  7. ICML 2023Practical and Matching Gradient Variance Bounds for Black-Box Variational Bayesian Inference
  8. ICML 2023QuantumDARTS: Differentiable Quantum Architecture Search for Variational Quantum Algorithms
  9. ICML 2023Revisiting Structured Variational Autoencoders
  10. ICML 2023Robust Weak Supervision with Variational Auto-Encoders
  11. ICML 2023Sample Complexity of Probability Divergences under Group Symmetry
  12. ICML 2023Variational Autoencoding Neural Operators
  13. ICML 2023Variational Curriculum Reinforcement Learning for Unsupervised Discovery of Skills
  14. ICML 2023Variational Open-Domain Question Answering
  15. ICML 2023Variational Sparse Inverse Cholesky Approximation for Latent Gaussian Processes via Double Kullback-Leibler Minimization
  16. NeurIPS 2023[Re] Variational Neural Cellular Automata
  17. NeurIPS 2023A Finite-Particle Convergence Rate for Stein Variational Gradient Descent
  18. NeurIPS 2023A Heavy-Tailed Algebra for Probabilistic Programming
  19. NeurIPS 2023A Variational Perspective on High-Resolution ODEs
  20. NeurIPS 2023AdaVAE: Bayesian Structural Adaptation for Variational Autoencoders
  21. NeurIPS 2023Alpha-divergence Variational Inference Meets Importance Weighted Auto-Encoders: Methodology and Asymptotics
  22. NeurIPS 2023Amortized Reparametrization: Efficient and Scalable Variational Inference for Latent SDEs
  23. NeurIPS 2023Approximate inference of marginals using the IBIA framework
  24. NeurIPS 2023ARTree: A Deep Autoregressive Model for Phylogenetic Inference
  25. NeurIPS 2023Attention as Implicit Structural Inference
  26. NeurIPS 2023Conditional Matrix Flows for Gaussian Graphical Models
  27. NeurIPS 2023Conformalized matrix completion
  28. NeurIPS 2023Discriminative Calibration: Check Bayesian Computation from Simulations and Flexible Classifier
  29. NeurIPS 2023Embracing the chaos: analysis and diagnosis of numerical instability in variational flows
  30. NeurIPS 2023End-To-End Latent Variational Diffusion Models for Inverse Problems in High Energy Physics
  31. NeurIPS 2023Estimating Noise Correlations Across Continuous Conditions With Wishart Processes
  32. NeurIPS 2023Function Space Bayesian Pseudocoreset for Bayesian Neural Networks
  33. NeurIPS 2023Gacs-Korner Common Information Variational Autoencoder
  34. NeurIPS 2023GeoPhy: Differentiable Phylogenetic Inference via Geometric Gradients of Tree Topologies
  35. NeurIPS 2023Hierarchical Semi-Implicit Variational Inference with Application to Diffusion Model Acceleration
  36. NeurIPS 2023Joint Prompt Optimization of Stacked LLMs using Variational Inference
  37. NeurIPS 2023Latent SDEs on Homogeneous Spaces
  38. NeurIPS 2023On permutation symmetries in Bayesian neural network posteriors: a variational perspective
  39. NeurIPS 2023On the Convergence of Black-Box Variational Inference
  40. NeurIPS 2023On the Statistical Consistency of Risk-Sensitive Bayesian Decision-Making
  41. NeurIPS 2023Optimal Extragradient-Based Algorithms for Stochastic Variational Inequalities with Separable Structure
  42. NeurIPS 2023Particle-based Variational Inference with Generalized Wasserstein Gradient Flow
  43. NeurIPS 2023Penguin: Parallel-Packed Homomorphic Encryption for Fast Graph Convolutional Network Inference
  44. NeurIPS 2023Pointwise uncertainty quantification for sparse variational Gaussian process regression with a Brownian motion prior
  45. NeurIPS 2023Provable convergence guarantees for black-box variational inference
  46. NeurIPS 2023Provably Fast Finite Particle Variants of SVGD via Virtual Particle Stochastic Approximation
  47. NeurIPS 2023Pseudo-Likelihood Inference
  48. NeurIPS 2023Score-based Data Assimilation
  49. NeurIPS 2023Single-Call Stochastic Extragradient Methods for Structured Non-monotone Variational Inequalities: Improved Analysis under Weaker Conditions
  50. NeurIPS 2023Statistical Guarantees for Variational Autoencoders using PAC-Bayesian Theory

在 Claude、Cursor 里直接问这个趋势

接上 Paperlist MCP 后，写综述、挑方向或准备投稿时，不用离开对话框就能拿到这页的数字：每年各会议的论文数、增长倍数、涨得最快的子方向和代表论文，AI 会按你的问题整理。

可以直接复制这句话问 AI

用 paperlist 查变分推断在 NeurIPS 2023–2026 的论文趋势，哪一年涨得最快？

AI 会调用的工具：get_topic_stats {"topic": "variational-inference"}

两分钟接入 Paperlist MCP（Claude Code、Cursor、Codex、ChatGPT）

常见问题

2023–2026 年四大会议一共有多少篇变分推断论文？
共 359 篇，按年份分别是 2023 年 106 篇、2024 年 76 篇、2025 年 86 篇、2026 年 91 篇。
NeurIPS 2026 有多少篇变分推断论文？
NeurIPS 2026 有 30 篇变分推断论文，上一届是 28 篇。
ICLR 2026 有多少篇变分推断论文？
ICLR 2026 有 23 篇变分推断论文，上一届是 28 篇。
ICML 2026 有多少篇变分推断论文？
ICML 2026 有 35 篇变分推断论文，上一届是 28 篇。
CVPR 2026 有多少篇变分推断论文？
CVPR 2026 有 3 篇变分推断论文，上一届是 2 篇。
哪个会议的变分推断论文最多？
NeurIPS，2023–2026 年共 124 篇。

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