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 13 / 20 页

  1. NeurIPS 2024Efficient Prompt Optimization Through the Lens of Best Arm Identification
  2. NeurIPS 2024Efficient Sign-Based Optimization: Accelerating Convergence via Variance Reduction
  3. NeurIPS 2024EffiLearner: Enhancing Efficiency of Generated Code via Self-Optimization
  4. NeurIPS 2024Emergence of heavy tails in homogenized stochastic gradient descent
  5. NeurIPS 2024Exact, Tractable Gauss-Newton Optimization in Deep Reversible Architectures Reveal Poor Generalization
  6. NeurIPS 2024Exploring Fixed Point in Image Editing: Theoretical Support and Convergence Optimization
  7. NeurIPS 2024Exploring Jacobian Inexactness in Second-Order Methods for Variational Inequalities: Lower Bounds, Optimal Algorithms and Quasi-Newton Approximations
  8. NeurIPS 2024Fair Wasserstein Coresets
  9. NeurIPS 2024Fast Rates in Stochastic Online Convex Optimization by Exploiting the Curvature of Feasible Sets
  10. NeurIPS 2024Fast TRAC: A Parameter-Free Optimizer for Lifelong Reinforcement Learning
  11. NeurIPS 2024Faster Accelerated First-order Methods for Convex Optimization with Strongly Convex Function Constraints
  12. NeurIPS 2024Faster Algorithms for User-Level Private Stochastic Convex Optimization
  13. NeurIPS 2024FastSurvival: Hidden Computational Blessings in Training Cox Proportional Hazards Models
  14. NeurIPS 2024Federated Learning under Periodic Client Participation and Heterogeneous Data: A New Communication-Efficient Algorithm and Analysis
  15. NeurIPS 2024Finding Transformer Circuits With Edge Pruning
  16. NeurIPS 2024Fine-Grained Dynamic Framework for Bias-Variance Joint Optimization on Data Missing Not at Random
  17. NeurIPS 2024First-Order Methods for Linearly Constrained Bilevel Optimization
  18. NeurIPS 2024First-Order Minimax Bilevel Optimization
  19. NeurIPS 2024Freya PAGE: First Optimal Time Complexity for Large-Scale Nonconvex Finite-Sum Optimization with Heterogeneous Asynchronous Computations
  20. NeurIPS 2024Functional Bilevel Optimization for Machine Learning
  21. NeurIPS 2024Functionally Constrained Algorithm Solves Convex Simple Bilevel Problem
  22. NeurIPS 2024Fundamental Convergence Analysis of Sharpness-Aware Minimization
  23. NeurIPS 2024Generalized Fast Exact Conformalization
  24. NeurIPS 2024Geodesic Optimization for Predictive Shift Adaptation on EEG data
  25. NeurIPS 2024Gliding over the Pareto Front with Uniform Designs
  26. NeurIPS 2024Global Convergence in Training Large-Scale Transformers
  27. NeurIPS 2024Globally Convergent Variational Inference
  28. NeurIPS 2024Globally Q-linear Gauss-Newton Method for Overparameterized Non-convex Matrix Sensing
  29. NeurIPS 2024Gradient Guidance for Diffusion Models: An Optimization Perspective
  30. NeurIPS 2024Gradient-Free Methods for Nonconvex Nonsmooth Stochastic Compositional Optimization
  31. NeurIPS 2024Great Minds Think Alike: The Universal Convergence Trend of Input Salience
  32. NeurIPS 2024Guiding Neural Collapse: Optimising Towards the Nearest Simplex Equiangular Tight Frame
  33. NeurIPS 2024Heavy-Tailed Class Imbalance and Why Adam Outperforms Gradient Descent on Language Models
  34. NeurIPS 2024High-probability complexity bounds for stochastic non-convex minimax optimization
  35. NeurIPS 2024How Does Black-Box Impact the Learning Guarantee of Stochastic Compositional Optimization?
  36. NeurIPS 2024How does Gradient Descent Learn Features --- A Local Analysis for Regularized Two-Layer Neural Networks
  37. NeurIPS 2024How does PDE order affect the convergence of PINNs?
  38. NeurIPS 2024Implicit Optimization Bias of Next-token Prediction in Linear Models
  39. NeurIPS 2024Implicit Regularization of Decentralized Gradient Descent for Sparse Regression
  40. NeurIPS 2024Improved Particle Approximation Error for Mean Field Neural Networks
  41. NeurIPS 2024Improved Regret for Bandit Convex Optimization with Delayed Feedback
  42. NeurIPS 2024Improving Deep Learning Optimization through Constrained Parameter Regularization
  43. NeurIPS 2024Improving Equivariant Model Training via Constraint Relaxation
  44. NeurIPS 2024Improving Generalization and Convergence by Enhancing Implicit Regularization
  45. NeurIPS 2024Improving the Worst-Case Bidirectional Communication Complexity for Nonconvex Distributed Optimization under Function Similarity
  46. NeurIPS 2024In-Context Learning of a Linear Transformer Block: Benefits of the MLP Component and One-Step GD Initialization
  47. NeurIPS 2024In-Context Learning State Vector with Inner and Momentum Optimization
  48. NeurIPS 2024Incorporating Test-Time Optimization into Training with Dual Networks for Human Mesh Recovery
  49. NeurIPS 2024Inexact Augmented Lagrangian Methods for Conic Optimization: Quadratic Growth and Linear Convergence
  50. NeurIPS 2024Inversion-based Latent Bayesian Optimization

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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。

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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"}

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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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