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 12 / 14 页

  1. NeurIPS 2025Nearly Dimension-Independent Convergence of Mean-Field Black-Box Variational Inference
  2. NeurIPS 2025Neural Emulator Superiority: When Machine Learning for PDEs Surpasses its Training Data
  3. NeurIPS 2025New Perspectives on the Polyak Stepsize: Surrogate Functions and Negative Results
  4. NeurIPS 2025No Loss, No Gain: Gated Refinement and Adaptive Compression for Prompt Optimization
  5. NeurIPS 2025Non-convex entropic mean-field optimization via Best Response flow
  6. NeurIPS 2025Non-Convex Tensor Recovery from Tube-Wise Sensing
  7. NeurIPS 2025Non-monotone Submodular Optimization: $p$-Matchoid Constraints and Fully Dynamic Setting
  8. NeurIPS 2025Non-Singularity of the Gradient Descent Map for Neural Networks with Piecewise Analytic Activations
  9. NeurIPS 2025Non-stationary Bandit Convex Optimization: A Comprehensive Study
  10. NeurIPS 2025Nonlinearly Preconditioned Gradient Methods: Momentum and Stochastic Analysis
  11. NeurIPS 2025NopeRoomGS: Indoor 3D Gaussian Splatting Optimization without Camera Pose Input
  12. NeurIPS 2025Offline Guarded Safe Reinforcement Learning for Medical Treatment Optimization Strategies
  13. NeurIPS 2025Offline RL by Reward-Weighted Fine-Tuning for Conversation Optimization
  14. NeurIPS 2025OMiSO: Adaptive optimization of state-dependent brain stimulation to shape neural population states
  15. NeurIPS 2025Omnipresent Yet Overlooked: Heat Kernels in Combinatorial Bayesian Optimization
  16. NeurIPS 2025On Efficiency-Effectiveness Trade-off of Diffusion-based Recommenders
  17. NeurIPS 2025On Extending Direct Preference Optimization to Accommodate Ties
  18. NeurIPS 2025On the $O(\frac{\sqrt{d}}{K^{1/4}})$ Convergence Rate of AdamW Measured by $\ell_1$ Norm
  19. NeurIPS 2025On the Complexity of Finding Stationary Points in Nonconvex Simple Bilevel Optimization
  20. NeurIPS 2025On the Convergence of Single-Timescale Actor-Critic
  21. NeurIPS 2025On the Convergence of Stochastic Smoothed Multi-Level Compositional Gradient Descent Ascent
  22. NeurIPS 2025On the Optimal Construction of Unbiased Gradient Estimators for Zeroth-Order Optimization
  23. NeurIPS 2025On the Sample Complexity Bounds of Bilevel Reinforcement Learning
  24. NeurIPS 2025On Traceability in $\ell_p$ Stochastic Convex Optimization
  25. NeurIPS 2025Online Optimization for Offline Safe Reinforcement Learning
  26. NeurIPS 2025Online Strategic Classification With Noise and Partial Feedback
  27. NeurIPS 2025Optimistic Online-to-Batch Conversions for Accelerated Convergence and Universality
  28. NeurIPS 2025PALQO: Physics-informed model for Accelerating Large-scale Quantum Optimization
  29. NeurIPS 2025Partial Correlation Network Estimation by Semismooth Newton Methods
  30. NeurIPS 2025Pass@K Policy Optimization: Solving Harder Reinforcement Learning Problems
  31. NeurIPS 2025PaZO: Preconditioned Accelerated Zeroth-Order Optimization for Fine-Tuning LLMs
  32. NeurIPS 2025PDPO: Parametric Density Path Optimization
  33. NeurIPS 2025Per-Architecture Training-Free Metric Optimization for Neural Architecture Search
  34. NeurIPS 2025PhySense: Sensor Placement Optimization for Accurate Physics Sensing
  35. NeurIPS 2025Preference Optimization by Estimating the Ratio of the Data Distribution
  36. NeurIPS 2025Preference-Guided Diffusion for Multi-Objective Offline Optimization
  37. NeurIPS 2025Preserving LLM Capabilities through Calibration Data Curation: From Analysis to Optimization
  38. NeurIPS 2025PRESTO: Preimage-Informed Instruction Optimization for Prompting Black-Box LLMs
  39. NeurIPS 2025Probing Neural Combinatorial Optimization Models
  40. NeurIPS 2025Problem-Parameter-Free Decentralized Bilevel Optimization
  41. NeurIPS 2025ProfiX: Improving Profile-Guided Optimization in Compilers with Graph Neural Networks
  42. NeurIPS 2025Proximalized Preference Optimization for Diverse Feedback Types: A Decomposed Perspective on DPO
  43. NeurIPS 2025PseuZO: Pseudo-Zeroth-Order Algorithm for Training Deep Neural Networks
  44. NeurIPS 2025Purifying Shampoo: Investigating Shampoo's Heuristics by Decomposing its Preconditioner
  45. NeurIPS 2025Purity Law for Neural Routing Problem Solvers with Enhanced Generalizability
  46. NeurIPS 2025Put CASH on Bandits: A Max K-Armed Problem for Automated Machine Learning
  47. NeurIPS 2025Quantile Reward Policy Optimization: Alignment with Pointwise Regression and Exact Partition Functions
  48. NeurIPS 2025Quantitative convergence of trained neural networks to Gaussian processes
  49. NeurIPS 2025Quantum Speedups for Minimax Optimization and Beyond
  50. NeurIPS 2025Quasi-Self-Concordant Optimization with $\ell_{\infty}$ Lewis Weights

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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