非凸优化论文趋势 2023–2026

收敛与 landscape

统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 2,330 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

非凸优化论文数，按年份和会议
年份NeurIPSICLRICMLCVPR合计
2023154799815346
202427510716018560
202527917719219667
202625017828643757

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

全部非凸优化论文

年份全部2023202420252026
会议全部NeurIPSICLRICMLCVPR

共 346 篇，第 5 / 7 页

  1. NeurIPS 2023A Unified Discretization Framework for Differential Equation Approach with Lyapunov Arguments for Convex Optimization
  2. NeurIPS 2023A Unified Framework for Rank-based Loss Minimization
  3. NeurIPS 2023Accelerated Quasi-Newton Proximal Extragradient: Faster Rate for Smooth Convex Optimization
  4. NeurIPS 2023Accelerated Zeroth-order Method for Non-Smooth Stochastic Convex Optimization Problem with Infinite Variance
  5. NeurIPS 2023Achieving $\mathcal{O}(\epsilon^{-1.5})$ Complexity in Hessian/Jacobian-free Stochastic Bilevel Optimization
  6. NeurIPS 2023Adaptive SGD with Polyak stepsize and Line-search: Robust Convergence and Variance Reduction
  7. NeurIPS 2023Advancing Bayesian Optimization via Learning Correlated Latent Space
  8. NeurIPS 2023An Alternating Optimization Method for Bilevel Problems under the Polyak-Łojasiewicz Condition
  9. NeurIPS 2023An Exploration-by-Optimization Approach to Best of Both Worlds in Linear Bandits
  10. NeurIPS 2023An Optimal Structured Zeroth-order Algorithm for Non-smooth Optimization
  11. NeurIPS 2023An Optimization-based Approach To Node Role Discovery in Networks: Approximating Equitable Partitions
  12. NeurIPS 2023AutoGO: Automated Computation Graph Optimization for Neural Network Evolution
  13. NeurIPS 2023Batch Bayesian Optimization For Replicable Experimental Design
  14. NeurIPS 2023Bias in Evaluation Processes: An Optimization-Based Model
  15. NeurIPS 2023Bicriteria Approximation Algorithms for the Submodular Cover Problem
  16. NeurIPS 2023Bilevel Optimization with a Lower-level Contraction: Optimal Sample Complexity without Warm-Start
  17. NeurIPS 2023BiSLS/SPS: Auto-tune Step Sizes for Stable Bi-level Optimization
  18. NeurIPS 2023Block Coordinate Plug-and-Play Methods for Blind Inverse Problems
  19. NeurIPS 2023Boosting with Tempered Exponential Measures
  20. NeurIPS 2023Bounce: Reliable High-Dimensional Bayesian Optimization for Combinatorial and Mixed Spaces
  21. NeurIPS 2023Cascading Contextual Assortment Bandits
  22. NeurIPS 2023Complex-valued Neurons Can Learn More but Slower than Real-valued Neurons via Gradient Descent
  23. NeurIPS 2023Complexity of Derivative-Free Policy Optimization for Structured $\mathcal{H}_\infty$ Control
  24. NeurIPS 2023Contextual Stochastic Bilevel Optimization
  25. NeurIPS 2023Continuous-time Analysis of Anchor Acceleration
  26. NeurIPS 2023Convergence of Adam Under Relaxed Assumptions
  27. NeurIPS 2023Convergence of Alternating Gradient Descent for Matrix Factorization
  28. NeurIPS 2023Convergence of mean-field Langevin dynamics: time-space discretization, stochastic gradient, and variance reduction
  29. NeurIPS 2023Convergent Bregman Plug-and-Play Image Restoration for Poisson Inverse Problems
  30. NeurIPS 2023Convex and Non-convex Optimization Under Generalized Smoothness
  31. NeurIPS 2023CoPriv: Network/Protocol Co-Optimization for Communication-Efficient Private Inference
  32. NeurIPS 2023Debiasing Conditional Stochastic Optimization
  33. NeurIPS 2023Decentralized Matrix Sensing: Statistical Guarantees and Fast Convergence
  34. NeurIPS 2023Delayed Algorithms for Distributed Stochastic Weakly Convex Optimization
  35. NeurIPS 2023Distributionally Robust Bayesian Optimization with $\varphi$-divergences
  36. NeurIPS 2023Distributionally Robust Linear Quadratic Control
  37. NeurIPS 2023Don't be so Monotone: Relaxing Stochastic Line Search in Over-Parameterized Models
  38. NeurIPS 2023Don’t blame Dataset Shift! Shortcut Learning due to Gradients and Cross Entropy
  39. NeurIPS 2023DRAUC: An Instance-wise Distributionally Robust AUC Optimization Framework
  40. NeurIPS 2023DropCompute: simple and more robust distributed synchronous training via compute variance reduction
  41. NeurIPS 2023Efficient Hyper-parameter Optimization with Cubic Regularization
  42. NeurIPS 2023Efficient Robust Bayesian Optimization for Arbitrary Uncertain inputs
  43. NeurIPS 2023Exponentially Convergent Algorithms for Supervised Matrix Factorization
  44. NeurIPS 2023Failure-Aware Gaussian Process Optimization with Regret Bounds
  45. NeurIPS 2023Fair Canonical Correlation Analysis
  46. NeurIPS 2023FAMO: Fast Adaptive Multitask Optimization
  47. NeurIPS 2023Fast Bellman Updates for Wasserstein Distributionally Robust MDPs
  48. NeurIPS 2023Fast Partitioned Learned Bloom Filter
  49. NeurIPS 2023Faster Discrete Convex Function Minimization with Predictions: The M-Convex Case
  50. NeurIPS 2023Faster Margin Maximization Rates for Generic Optimization Methods

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 查非凸优化在 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": "nonconvex-optimization"}

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非凸优化论文？
共 2,330 篇，按年份分别是 2023 年 346 篇、2024 年 560 篇、2025 年 667 篇、2026 年 757 篇。
NeurIPS 2026 有多少篇非凸优化论文？
NeurIPS 2026 有 250 篇非凸优化论文，上一届是 279 篇。
ICLR 2026 有多少篇非凸优化论文？
ICLR 2026 有 178 篇非凸优化论文，上一届是 177 篇。
ICML 2026 有多少篇非凸优化论文？
ICML 2026 有 286 篇非凸优化论文，上一届是 192 篇。
CVPR 2026 有多少篇非凸优化论文？
CVPR 2026 有 43 篇非凸优化论文，上一届是 19 篇。
哪个会议的非凸优化论文最多？
NeurIPS，2023–2026 年共 958 篇。

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