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 958 篇，第 19 / 20 页

  1. NeurIPS 2023Optimal Extragradient-Based Algorithms for Stochastic Variational Inequalities with Separable Structure
  2. NeurIPS 2023Optimal Guarantees for Algorithmic Reproducibility and Gradient Complexity in Convex Optimization
  3. NeurIPS 2023Optimal Time Complexities of Parallel Stochastic Optimization Methods Under a Fixed Computation Model
  4. NeurIPS 2023Optimization of Inter-group criteria for clustering with minimum size constraints
  5. NeurIPS 2023Oracle Complexity of Single-Loop Switching Subgradient Methods for Non-Smooth Weakly Convex Functional Constrained Optimization
  6. NeurIPS 2023Ordering-based Conditions for Global Convergence of Policy Gradient Methods
  7. NeurIPS 2023Outlier-Robust Gromov-Wasserstein for Graph Data
  8. NeurIPS 2023Outlier-Robust Wasserstein DRO
  9. NeurIPS 2023Parallel Submodular Function Minimization
  10. NeurIPS 2023Parallel-mentoring for Offline Model-based Optimization
  11. NeurIPS 2023Physics-Informed Bayesian Optimization of Variational Quantum Circuits
  12. NeurIPS 2023Policy Optimization for Continuous Reinforcement Learning
  13. NeurIPS 2023Practical Sharpness-Aware Minimization Cannot Converge All the Way to Optima
  14. NeurIPS 2023Preconditioning Matters: Fast Global Convergence of Non-convex Matrix Factorization via Scaled Gradient Descent
  15. NeurIPS 2023PriorBand: Practical Hyperparameter Optimization in the Age of Deep Learning
  16. NeurIPS 2023Private (Stochastic) Non-Convex Optimization Revisited: Second-Order Stationary Points and Excess Risks
  17. NeurIPS 2023Projection-Free Methods for Solving Nonconvex-Concave Saddle Point Problems
  18. NeurIPS 2023Projection-Free Methods for Stochastic Simple Bilevel Optimization with Convex Lower-level Problem
  19. NeurIPS 2023PROTES: Probabilistic Optimization with Tensor Sampling
  20. NeurIPS 2023Provable convergence guarantees for black-box variational inference
  21. NeurIPS 2023Quantum Bayesian Optimization
  22. NeurIPS 2023Quantum speedups for stochastic optimization
  23. NeurIPS 2023Rank-1 Matrix Completion with Gradient Descent and Small Random Initialization
  24. NeurIPS 2023Recovering Simultaneously Structured Data via Non-Convex Iteratively Reweighted Least Squares
  25. NeurIPS 2023Reducing Blackwell and Average Optimality to Discounted MDPs via the Blackwell Discount Factor
  26. NeurIPS 2023ReSync: Riemannian Subgradient-based Robust Rotation Synchronization
  27. NeurIPS 2023Rethinking Incentives in Recommender Systems: Are Monotone Rewards Always Beneficial?
  28. NeurIPS 2023Riemannian Projection-free Online Learning
  29. NeurIPS 2023Riemannian SAM: Sharpness-Aware Minimization on Riemannian Manifolds
  30. NeurIPS 2023Riemannian stochastic optimization methods avoid strict saddle points
  31. NeurIPS 2023Robust Bayesian Satisficing
  32. NeurIPS 2023Robust Distributed Learning: Tight Error Bounds and Breakdown Point under Data Heterogeneity
  33. NeurIPS 2023Robust Learning for Smoothed Online Convex Optimization with Feedback Delay
  34. NeurIPS 2023Robust Matrix Sensing in the Semi-Random Model
  35. NeurIPS 2023Robust Second-Order Nonconvex Optimization and Its Application to Low Rank Matrix Sensing
  36. NeurIPS 2023Sample Complexity for Quadratic Bandits: Hessian Dependent Bounds and Optimal Algorithms
  37. NeurIPS 2023Sampling weights of deep neural networks
  38. NeurIPS 2023Searching for Optimal Per-Coordinate Step-sizes with Multidimensional Backtracking
  39. NeurIPS 2023Single-Call Stochastic Extragradient Methods for Structured Non-monotone Variational Inequalities: Improved Analysis under Weaker Conditions
  40. NeurIPS 2023SLM: A Smoothed First-Order Lagrangian Method for Structured Constrained Nonconvex Optimization
  41. NeurIPS 2023SpatialRank: Urban Event Ranking with NDCG Optimization on Spatiotemporal Data
  42. NeurIPS 2023Stability and Generalization of the Decentralized Stochastic Gradient Descent Ascent Algorithm
  43. NeurIPS 2023Stable Nonconvex-Nonconcave Training via Linear Interpolation
  44. NeurIPS 2023StEik: Stabilizing the Optimization of Neural Signed Distance Functions and Finer Shape Representation
  45. NeurIPS 2023Stochastic Distributed Optimization under Average Second-order Similarity: Algorithms and Analysis
  46. NeurIPS 2023TD Convergence: An Optimization Perspective
  47. NeurIPS 2023The Behavior and Convergence of Local Bayesian Optimization
  48. NeurIPS 2023Three-Way Trade-Off in Multi-Objective Learning: Optimization, Generalization and Conflict-Avoidance
  49. NeurIPS 2023Training Your Image Restoration Network Better with Random Weight Network as Optimization Function
  50. NeurIPS 2023Two Sides of One Coin: the Limits of Untuned SGD and the Power of Adaptive 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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