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 2,330 篇，第 45 / 47 页

  1. NeurIPS 2023BiSLS/SPS: Auto-tune Step Sizes for Stable Bi-level Optimization
  2. NeurIPS 2023Block Coordinate Plug-and-Play Methods for Blind Inverse Problems
  3. NeurIPS 2023Boosting with Tempered Exponential Measures
  4. NeurIPS 2023Bounce: Reliable High-Dimensional Bayesian Optimization for Combinatorial and Mixed Spaces
  5. NeurIPS 2023Cascading Contextual Assortment Bandits
  6. NeurIPS 2023Complex-valued Neurons Can Learn More but Slower than Real-valued Neurons via Gradient Descent
  7. NeurIPS 2023Complexity of Derivative-Free Policy Optimization for Structured $\mathcal{H}_\infty$ Control
  8. NeurIPS 2023Contextual Stochastic Bilevel Optimization
  9. NeurIPS 2023Continuous-time Analysis of Anchor Acceleration
  10. NeurIPS 2023Convergence of Adam Under Relaxed Assumptions
  11. NeurIPS 2023Convergence of Alternating Gradient Descent for Matrix Factorization
  12. NeurIPS 2023Convergence of mean-field Langevin dynamics: time-space discretization, stochastic gradient, and variance reduction
  13. NeurIPS 2023Convergent Bregman Plug-and-Play Image Restoration for Poisson Inverse Problems
  14. NeurIPS 2023Convex and Non-convex Optimization Under Generalized Smoothness
  15. NeurIPS 2023CoPriv: Network/Protocol Co-Optimization for Communication-Efficient Private Inference
  16. NeurIPS 2023Debiasing Conditional Stochastic Optimization
  17. NeurIPS 2023Decentralized Matrix Sensing: Statistical Guarantees and Fast Convergence
  18. NeurIPS 2023Delayed Algorithms for Distributed Stochastic Weakly Convex Optimization
  19. NeurIPS 2023Distributionally Robust Bayesian Optimization with $\varphi$-divergences
  20. NeurIPS 2023Distributionally Robust Linear Quadratic Control
  21. NeurIPS 2023Don't be so Monotone: Relaxing Stochastic Line Search in Over-Parameterized Models
  22. NeurIPS 2023Don’t blame Dataset Shift! Shortcut Learning due to Gradients and Cross Entropy
  23. NeurIPS 2023DRAUC: An Instance-wise Distributionally Robust AUC Optimization Framework
  24. NeurIPS 2023DropCompute: simple and more robust distributed synchronous training via compute variance reduction
  25. NeurIPS 2023Efficient Hyper-parameter Optimization with Cubic Regularization
  26. NeurIPS 2023Efficient Robust Bayesian Optimization for Arbitrary Uncertain inputs
  27. NeurIPS 2023Exponentially Convergent Algorithms for Supervised Matrix Factorization
  28. NeurIPS 2023Failure-Aware Gaussian Process Optimization with Regret Bounds
  29. NeurIPS 2023Fair Canonical Correlation Analysis
  30. NeurIPS 2023FAMO: Fast Adaptive Multitask Optimization
  31. NeurIPS 2023Fast Bellman Updates for Wasserstein Distributionally Robust MDPs
  32. NeurIPS 2023Fast Partitioned Learned Bloom Filter
  33. NeurIPS 2023Faster Discrete Convex Function Minimization with Predictions: The M-Convex Case
  34. NeurIPS 2023Faster Margin Maximization Rates for Generic Optimization Methods
  35. NeurIPS 2023Feature learning via mean-field Langevin dynamics: classifying sparse parities and beyond
  36. NeurIPS 2023Federated Conditional Stochastic Optimization
  37. NeurIPS 2023Federated Learning with Client Subsampling, Data Heterogeneity, and Unbounded Smoothness: A New Algorithm and Lower Bounds
  38. NeurIPS 2023FedNAR: Federated Optimization with Normalized Annealing Regularization
  39. NeurIPS 2023Finding Local Minima Efficiently in Decentralized Optimization
  40. NeurIPS 2023Fine-Grained Theoretical Analysis of Federated Zeroth-Order Optimization
  41. NeurIPS 2023First Order Stochastic Optimization with Oblivious Noise
  42. NeurIPS 2023Fractal Landscapes in Policy Optimization
  43. NeurIPS 2023Framework and Benchmarks for Combinatorial and Mixed-variable Bayesian Optimization
  44. NeurIPS 2023Global Convergence Analysis of Local SGD for Two-layer Neural Network without Overparameterization
  45. NeurIPS 2023Global Identifiability of $\ell_1$-based Dictionary Learning via Matrix Volume Optimization
  46. NeurIPS 2023GloptiNets: Scalable Non-Convex Optimization with Certificates
  47. NeurIPS 2023Going Beyond Linear Mode Connectivity: The Layerwise Linear Feature Connectivity
  48. NeurIPS 2023Improved Algorithms for Stochastic Linear Bandits Using Tail Bounds for Martingale Mixtures
  49. NeurIPS 2023Improved Convergence in High Probability of Clipped Gradient Methods with Heavy Tailed Noise
  50. NeurIPS 2023Improving the Knowledge Gradient Algorithm

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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