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 5 / 8 页

  1. ICLR 2024Training Bayesian Neural Networks with Sparse Subspace Variational Inference
  2. ICLR 2024Transport meets Variational Inference: Controlled Monte Carlo Diffusions
  3. ICLR 2024Uncertainty Quantification via Stable Distribution Propagation
  4. ICLR 2024Variational Bayesian Last Layers
  5. ICLR 2024Variational Inference for SDEs Driven by Fractional Noise
  6. ICML 2024$\mathtt{VITS}$ : Variational Inference Thompson Sampling for contextual bandits
  7. ICML 2024Adaptive Observation Cost Control for Variational Quantum Eigensolvers
  8. ICML 2024Amortized Variational Deep Kernel Learning
  9. ICML 2024Batch and match: black-box variational inference with a score-based divergence
  10. ICML 2024Beyond ELBOs: A Large-Scale Evaluation of Variational Methods for Sampling
  11. ICML 2024Efficient Mixture Learning in Black-Box Variational Inference
  12. ICML 2024Generalized Smooth Variational Inequalities: Methods with Adaptive Stepsizes
  13. ICML 2024High-Probability Convergence for Composite and Distributed Stochastic Minimization and Variational Inequalities with Heavy-Tailed Noise
  14. ICML 2024Kernel Semi-Implicit Variational Inference
  15. ICML 2024Language-guided Skill Learning with Temporal Variational Inference
  16. ICML 2024Latent Optimal Paths by Gumbel Propagation for Variational Bayesian Dynamic Programming
  17. ICML 2024Learning Latent Structures in Network Games via Data-Dependent Gated-Prior Graph Variational Autoencoders
  18. ICML 2024Logistic Variational Bayes Revisited
  19. ICML 2024Online Variational Sequential Monte Carlo
  20. ICML 2024Provably Scalable Black-Box Variational Inference with Structured Variational Families
  21. ICML 2024Purify Unlearnable Examples via Rate-Constrained Variational Autoencoders
  22. ICML 2024Reparameterized Importance Sampling for Robust Variational Bayesian Neural Networks
  23. ICML 2024Self-Attention through Kernel-Eigen Pair Sparse Variational Gaussian Processes
  24. ICML 2024Theoretical Guarantees for Variational Inference with Fixed-Variance Mixture of Gaussians
  25. ICML 2024Understanding Stochastic Natural Gradient Variational Inference
  26. ICML 2024Variational Inference with Coverage Guarantees in Simulation-Based Inference
  27. ICML 2024Variational Learning is Effective for Large Deep Networks
  28. ICML 2024Variational Linearized Laplace Approximation for Bayesian Deep Learning
  29. ICML 2024Variational Partial Group Convolutions for Input-Aware Partial Equivariance of Rotations and Color-Shifts
  30. ICML 2024Variational Schrödinger Diffusion Models
  31. ICML 2024Why do Variational Autoencoders Really Promote Disentanglement?
  32. NeurIPS 2024Asymptotics of Alpha-Divergence Variational Inference Algorithms with Exponential Families
  33. NeurIPS 2024Doob's Lagrangian: A Sample-Efficient Variational Approach to Transition Path Sampling
  34. NeurIPS 2024EigenVI: score-based variational inference with orthogonal function expansions
  35. NeurIPS 2024Exploring Jacobian Inexactness in Second-Order Methods for Variational Inequalities: Lower Bounds, Optimal Algorithms and Quasi-Newton Approximations
  36. NeurIPS 2024Fearless Stochasticity in Expectation Propagation
  37. NeurIPS 2024Globally Convergent Variational Inference
  38. NeurIPS 2024Inference of Neural Dynamics Using Switching Recurrent Neural Networks
  39. NeurIPS 2024Last-Iterate Convergence for Generalized Frank-Wolfe in Monotone Variational Inequalities
  40. NeurIPS 2024LiteVAE: Lightweight and Efficient Variational Autoencoders for Latent Diffusion Models
  41. NeurIPS 2024Noether's Razor: Learning Conserved Quantities
  42. NeurIPS 2024On Divergence Measures for Training GFlowNets
  43. NeurIPS 2024Particle Semi-Implicit Variational Inference
  44. NeurIPS 2024Poisson Variational Autoencoder
  45. NeurIPS 2024Private Algorithms for Stochastic Saddle Points and Variational Inequalities: Beyond Euclidean Geometry
  46. NeurIPS 2024Quadratic Quantum Variational Monte Carlo
  47. NeurIPS 2024Rejection via Learning Density Ratios
  48. NeurIPS 2024Training Binary Neural Networks via Gaussian Variational Inference and Low-Rank Semidefinite Programming
  49. NeurIPS 2024TreeVI: Reparameterizable Tree-structured Variational Inference for Instance-level Correlation Capturing
  50. NeurIPS 2024Unscrambling disease progression at scale: fast inference of event permutations with optimal transport

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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