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 667 篇，第 10 / 14 页

  1. NeurIPS 2025CORE: Collaborative Optimization with Reinforcement Learning and Evolutionary Algorithm for Floorplanning
  2. NeurIPS 2025Corporate Needs You to Find the Difference: Revisiting Submodular and Supermodular Ratio Optimization Problems
  3. NeurIPS 2025Cost-Sensitive Freeze-thaw Bayesian Optimization for Efficient Hyperparameter Tuning
  4. NeurIPS 2025Covering Multiple Objectives with a Small Set of Solutions Using Bayesian Optimization
  5. NeurIPS 2025Data Mixture Optimization: A Multi-fidelity Multi-scale Bayesian Framework
  6. NeurIPS 2025DataRater: Meta-Learned Dataset Curation
  7. NeurIPS 2025Decreasing Entropic Regularization Averaged Gradient for Semi-Discrete Optimal Transport
  8. NeurIPS 2025Deep Legendre Transform
  9. NeurIPS 2025DesignX: Human-Competitive Algorithm Designer for Black-Box Optimization
  10. NeurIPS 2025Differentiable extensions with rounding guarantees for combinatorial optimization over permutations
  11. NeurIPS 2025Differentiation Through Black-Box Quadratic Programming Solvers
  12. NeurIPS 2025Direct Fisher Score Estimation for Likelihood Maximization
  13. NeurIPS 2025Distortion of AI Alignment: Does Preference Optimization Optimize for Preferences?
  14. NeurIPS 2025Distributionally Robust Feature Selection
  15. NeurIPS 2025Distributionally Robust Performative Optimization
  16. NeurIPS 2025DPAIL: Training Diffusion Policy for Adversarial Imitation Learning without Policy Optimization
  17. NeurIPS 2025DrivAerStar: An Industrial-Grade CFD Dataset for Vehicle Aerodynamic Optimization
  18. NeurIPS 2025DSAS: A Universal Plug-and-Play Framework for Attention Optimization in Multi-Document Question Answering
  19. NeurIPS 2025Dual-Flow: Transferable Multi-Target, Instance-Agnostic Attacks via $\textit{In-the-wild}$ Cascading Flow Optimization
  20. NeurIPS 2025Effective Neural Approximations for Geometric Optimization Problems
  21. NeurIPS 2025Efficient Adaptive Federated Optimization
  22. NeurIPS 2025Efficient Policy Optimization in Robust Constrained MDPs with Iteration Complexity Guarantees
  23. NeurIPS 2025Efficient Quadratic Corrections for Frank-Wolfe Algorithms
  24. NeurIPS 2025Efficient Utility-Preserving Machine Unlearning with Implicit Gradient Surgery
  25. NeurIPS 2025Efficiently Escaping Saddle Points under Generalized Smoothness via Self-Bounding Regularity
  26. NeurIPS 2025Enhanced Cyclic Coordinate Descent Methods for Elastic Net Penalized Linear Models
  27. NeurIPS 2025Enhancing Safety in Reinforcement Learning with Human Feedback via Rectified Policy Optimization
  28. NeurIPS 2025Enhancing Training Data Attribution with Representational Optimization
  29. NeurIPS 2025Error Feedback under $(L_0,L_1)$-Smoothness: Normalization and Momentum
  30. NeurIPS 2025Escaping saddle points without Lipschitz smoothness: the power of nonlinear preconditioning
  31. NeurIPS 2025Exact and Linear Convergence for Federated Learning under Arbitrary Client Participation is Attainable
  32. NeurIPS 2025Exploring and Exploiting Model Uncertainty in Bayesian Optimization
  33. NeurIPS 2025Exploring Landscapes for Better Minima along Valleys
  34. NeurIPS 2025Extragradient Method for $(L_0, L_1)$-Lipschitz Root-finding Problems
  35. NeurIPS 2025Factor Decorrelation Enhanced Data Removal from Deep Predictive Models
  36. NeurIPS 2025Fairness-Regularized Online Optimization with Switching Costs
  37. NeurIPS 2025Fast Last-Iterate Convergence of SGD in the Smooth Interpolation Regime
  38. NeurIPS 2025Fast Non-Log-Concave Sampling under Nonconvex Equality and Inequality Constraints with Landing
  39. NeurIPS 2025Fast Projection-Free Approach (without Optimization Oracle) for Optimization over Compact Convex Set
  40. NeurIPS 2025Fast Zeroth-Order Convex Optimization with Quantum Gradient Methods
  41. NeurIPS 2025Faster Algorithms for Structured John Ellipsoid Computation
  42. NeurIPS 2025Finite Sample Analysis of Linear Temporal Difference Learning with Arbitrary Features
  43. NeurIPS 2025Finite-Time Analysis of Stochastic Nonconvex Nonsmooth Optimization on the Riemannian Manifolds
  44. NeurIPS 2025Flat Channels to Infinity in Neural Loss Landscapes
  45. NeurIPS 2025Flow Density Control: Generative Optimization Beyond Entropy-Regularized Fine-Tuning
  46. NeurIPS 2025FP64 is All You Need: Rethinking Failure Modes in Physics-Informed Neural Networks
  47. NeurIPS 2025Fractional Langevin Dynamics for Combinatorial Optimization via Polynomial-Time Escape
  48. NeurIPS 2025FSNet: Feasibility-Seeking Neural Network for Constrained Optimization with Guarantees
  49. NeurIPS 2025Generalized Gradient Norm Clipping & Non-Euclidean $(L_0,L_1)$-Smoothness
  50. NeurIPS 2025Generation as Search Operator for Test-Time Scaling of Diffusion-based Combinatorial Optimization

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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