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 42 / 47 页

  1. ICLR 2023Over-parameterized Model Optimization with Polyak-{\L}ojasiewicz Condition
  2. ICLR 2023Parallel Deep Neural Networks Have Zero Duality Gap
  3. ICLR 2023Pareto Invariant Risk Minimization: Towards Mitigating the Optimization Dilemma in Out-of-Distribution Generalization
  4. ICLR 2023Population-size-Aware Policy Optimization for Mean-Field Games
  5. ICLR 2023Predictor-corrector algorithms for stochastic optimization under gradual distribution shift
  6. ICLR 2023Projective Proximal Gradient Descent for Nonconvex Nonsmooth Optimization: Fast Convergence Without Kurdyka-Lojasiewicz (KL) Property
  7. ICLR 2023RandProx: Primal-Dual Optimization Algorithms with Randomized Proximal Updates
  8. ICLR 2023Re-weighting Based Group Fairness Regularization via Classwise Robust Optimization
  9. ICLR 2023Restricted Strong Convexity of Deep Learning Models with Smooth Activations
  10. ICLR 2023Robust Scheduling with GFlowNets
  11. ICLR 2023Semi-Implicit Variational Inference via Score Matching
  12. ICLR 2023SGDA with shuffling: faster convergence for nonconvex-PŁ minimax optimization
  13. ICLR 2023Single-shot General Hyper-parameter Optimization for Federated Learning
  14. ICLR 2023Solving stochastic weak Minty variational inequalities without increasing batch size
  15. ICLR 2023Stochastic Differentially Private and Fair Learning
  16. ICLR 2023SWIFT: Rapid Decentralized Federated Learning via Wait-Free Model Communication
  17. ICLR 2023Targeted Hyperparameter Optimization with Lexicographic Preferences Over Multiple Objectives
  18. ICLR 2023The Symmetric Generalized Eigenvalue Problem as a Nash Equilibrium
  19. ICLR 2023TiAda: A Time-scale Adaptive Algorithm for Nonconvex Minimax Optimization
  20. ICLR 2023Topology-aware Robust Optimization for Out-of-Distribution Generalization
  21. ICLR 2023Towards convergence to Nash equilibria in two-team zero-sum games
  22. ICLR 2023Trainable Weight Averaging: Efficient Training by Optimizing Historical Solutions
  23. ICLR 2023Understanding Edge-of-Stability Training Dynamics with a Minimalist Example
  24. ICLR 2023Understanding the Generalization of Adam in Learning Neural Networks with Proper Regularization
  25. ICLR 2023Unsupervised Learning for Combinatorial Optimization Needs Meta Learning
  26. ICLR 2023What Is Missing in IRM Training and Evaluation? Challenges and Solutions
  27. ICLR 2023Win: Weight-Decay-Integrated Nesterov Acceleration for Adaptive Gradient Algorithms
  28. ICLR 2023Zeroth-Order Optimization with Trajectory-Informed Derivative Estimation
  29. ICML 2023A Distribution Optimization Framework for Confidence Bounds of Risk Measures
  30. ICML 2023A Fully First-Order Method for Stochastic Bilevel Optimization
  31. ICML 2023A Theoretical Analysis of the Learning Dynamics under Class Imbalance
  32. ICML 2023Accelerated Cyclic Coordinate Dual Averaging with Extrapolation for Composite Convex Optimization
  33. ICML 2023Accelerated Infeasibility Detection of Constrained Optimization and Fixed-Point Iterations
  34. ICML 2023Accelerated Stochastic Optimization Methods under Quasar-convexity
  35. ICML 2023Adaptively Weighted Data Augmentation Consistency Regularization for Robust Optimization under Concept Shift
  36. ICML 2023Analysis of Error Feedback in Federated Non-Convex Optimization with Biased Compression: Fast Convergence and Partial Participation
  37. ICML 2023Answering Complex Logical Queries on Knowledge Graphs via Query Computation Tree Optimization
  38. ICML 2023Automatically Auditing Large Language Models via Discrete Optimization
  39. ICML 2023Averaged Method of Multipliers for Bi-Level Optimization without Lower-Level Strong Convexity
  40. ICML 2023Bandit Online Linear Optimization with Hints and Queries
  41. ICML 2023Best of Both Worlds Policy Optimization
  42. ICML 2023Beyond Lipschitz Smoothness: A Tighter Analysis for Nonconvex Optimization
  43. ICML 2023Beyond Uniform Lipschitz Condition in Differentially Private Optimization
  44. ICML 2023Bilevel Optimization with Coupled Decision-Dependent Distributions
  45. ICML 2023Bit Allocation using Optimization
  46. ICML 2023Buying Information for Stochastic Optimization
  47. ICML 2023CO-BED: Information-Theoretic Contextual Optimization via Bayesian Experimental Design
  48. ICML 2023Competitive Gradient Optimization
  49. ICML 2023Compressed Decentralized Proximal Stochastic Gradient Method for Nonconvex Composite Problems with Heterogeneous Data
  50. ICML 2023Constrained Causal Bayesian 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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