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 541 篇，第 10 / 11 页

  1. ICLR 2024Submodular Reinforcement Learning
  2. ICLR 2024Symmetric Mean-field Langevin Dynamics for Distributional Minimax Problems
  3. ICLR 2024Tackling the Data Heterogeneity in Asynchronous Federated Learning with Cached Update Calibration
  4. ICLR 2024Tensor Programs VI: Feature Learning in Infinite Depth Neural Networks
  5. ICLR 2024The importance of feature preprocessing for differentially private linear optimization
  6. ICLR 2024The Marginal Value of Momentum for Small Learning Rate SGD
  7. ICLR 2024Topic Modeling as Multi-Objective Contrastive Optimization
  8. ICLR 2024Towards Training Without Depth Limits: Batch Normalization Without Gradient Explosion
  9. ICLR 2024Two-timescale Extragradient for Finding Local Minimax Points
  10. ICLR 2024Variance Reduced Halpern Iteration for Finite-Sum Monotone Inclusions
  11. ICLR 2024Weaker MVI Condition: Extragradient Methods with Multi-Step Exploration
  12. ICLR 2024What Makes a Good Prune? Maximal Unstructured Pruning for Maximal Cosine Similarity
  13. ICLR 2023$\Lambda$-DARTS: Mitigating Performance Collapse by Harmonizing Operation Selection among Cells
  14. ICLR 2023A view of mini-batch SGD via generating functions: conditions of convergence, phase transitions, benefit from negative momenta.
  15. ICLR 2023Accelerated Single-Call Methods for Constrained Min-Max Optimization
  16. ICLR 2023Adaptive Optimization in the $\infty$-Width Limit
  17. ICLR 2023AGRO: Adversarial discovery of error-prone Groups for Robust Optimization
  18. ICLR 2023Alternating Differentiation for Optimization Layers
  19. ICLR 2023Approximate Vanishing Ideal Computations at Scale
  20. ICLR 2023Asynchronous Distributed Bilevel Optimization
  21. ICLR 2023Automating Nearest Neighbor Search Configuration with Constrained Optimization
  22. ICLR 2023BALTO: fast tensor program optimization with diversity-based active learning
  23. ICLR 2023Behind the Scenes of Gradient Descent: A Trajectory Analysis via Basis Function Decomposition
  24. ICLR 2023Betty: An Automatic Differentiation Library for Multilevel Optimization
  25. ICLR 2023Beyond Lipschitz: Sharp Generalization and Excess Risk Bounds for Full-Batch GD
  26. ICLR 2023Bi-level Physics-Informed Neural Networks for PDE Constrained Optimization using Broyden's Hypergradients
  27. ICLR 2023Breaking Correlation Shift via Conditional Invariant Regularizer
  28. ICLR 2023Conservative Bayesian Model-Based Value Expansion for Offline Policy Optimization
  29. ICLR 2023Continuized Acceleration for Quasar Convex Functions in Non-Convex Optimization
  30. ICLR 2023DASHA: Distributed Nonconvex Optimization with Communication Compression and Optimal Oracle Complexity
  31. ICLR 2023Deep Ranking Ensembles for Hyperparameter Optimization
  32. ICLR 2023Depth Separation with Multilayer Mean-Field Networks
  33. ICLR 2023Differentially Private Adaptive Optimization with Delayed Preconditioners
  34. ICLR 2023Discovering Evolution Strategies via Meta-Black-Box Optimization
  35. ICLR 2023Discovering Policies with DOMiNO: Diversity Optimization Maintaining Near Optimality
  36. ICLR 2023Distributionally Robust Recourse Action
  37. ICLR 2023Efficient Offline Policy Optimization with a Learned Model
  38. ICLR 2023Efficiently Controlling Multiple Risks with Pareto Testing
  39. ICLR 2023Ensuring DNN Solution Feasibility for Optimization Problems with Linear Constraints
  40. ICLR 2023EPISODE: Episodic Gradient Clipping with Periodic Resampled Corrections for Federated Learning with Heterogeneous Data
  41. ICLR 2023Equivariance-aware Architectural Optimization of Neural Networks
  42. ICLR 2023Eva: Practical Second-order Optimization with Kronecker-vectorized Approximation
  43. ICLR 2023Excess Risk of Two-Layer ReLU Neural Networks in Teacher-Student Settings and its Superiority to Kernel Methods
  44. ICLR 2023Faster federated optimization under second-order similarity
  45. ICLR 2023Faster Last-iterate Convergence of Policy Optimization in Zero-Sum Markov Games
  46. ICLR 2023FedExP: Speeding Up Federated Averaging via Extrapolation
  47. ICLR 2023Fisher-Legendre (FishLeg) optimization of deep neural networks
  48. ICLR 2023Globally Optimal Training of Neural Networks with Threshold Activation Functions
  49. ICLR 2023Graph-based Deterministic Policy Gradient for Repetitive Combinatorial Optimization Problems
  50. ICLR 2023Guarded Policy Optimization with Imperfect Online Demonstrations

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"}

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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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