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 736 篇，第 12 / 15 页

  1. ICML 2024ILILT: Implicit Learning of Inverse Lithography Technologies
  2. ICML 2024Implicit Bias of AdamW: $\ell_\infty$-Norm Constrained Optimization
  3. ICML 2024Improved Differentially Private and Lazy Online Convex Optimization: Lower Regret without Smoothness Requirements
  4. ICML 2024Improving Robustness to Multiple Spurious Correlations by Multi-Objective Optimization
  5. ICML 2024Improving SAM Requires Rethinking its Optimization Formulation
  6. ICML 2024In-context Convergence of Transformers
  7. ICML 2024In-Context Freeze-Thaw Bayesian Optimization for Hyperparameter Optimization
  8. ICML 2024InstructZero: Efficient Instruction Optimization for Black-Box Large Language Models
  9. ICML 2024Interpreting and Improving Diffusion Models from an Optimization Perspective
  10. ICML 2024Iterative Regularized Policy Optimization with Imperfect Demonstrations
  11. ICML 2024Joint Composite Latent Space Bayesian Optimization
  12. ICML 2024KernelSHAP-IQ: Weighted Least Square Optimization for Shapley Interactions
  13. ICML 2024LASER: Linear Compression in Wireless Distributed Optimization
  14. ICML 2024Learning to Remove Cuts in Integer Linear Programming
  15. ICML 2024Learning with 3D rotations, a hitchhiker's guide to SO(3)
  16. ICML 2024Learning-Rate-Free Stochastic Optimization over Riemannian Manifolds
  17. ICML 2024Locally Differentially Private Decentralized Stochastic Bilevel Optimization with Guaranteed Convergence Accuracy
  18. ICML 2024LPGD: A General Framework for Backpropagation through Embedded Optimization Layers
  19. ICML 2024MALIBO: Meta-learning for Likelihood-free Bayesian Optimization
  20. ICML 2024Mitigating Catastrophic Forgetting in Online Continual Learning by Modeling Previous Task Interrelations via Pareto Optimization
  21. ICML 2024MLI Formula: A Nearly Scale-Invariant Solution with Noise Perturbation
  22. ICML 2024Model Alignment as Prospect Theoretic Optimization
  23. ICML 2024Moreau Envelope for Nonconvex Bi-Level Optimization: A Single-Loop and Hessian-Free Solution Strategy
  24. ICML 2024No Wrong Turns: The Simple Geometry Of Neural Networks Optimization Paths
  25. ICML 2024Non-convex Stochastic Composite Optimization with Polyak Momentum
  26. ICML 2024Non-stationary Online Convex Optimization with Arbitrary Delays
  27. ICML 2024Offline Multi-Objective Optimization
  28. ICML 2024On Convergence of Incremental Gradient for Non-convex Smooth Functions
  29. ICML 2024On Discrete Prompt Optimization for Diffusion Models
  30. ICML 2024On PI Controllers for Updating Lagrange Multipliers in Constrained Optimization
  31. ICML 2024On the Complexity of Finite-Sum Smooth Optimization under the Polyak–Łojasiewicz Condition
  32. ICML 2024On The Complexity of First-Order Methods in Stochastic Bilevel Optimization
  33. ICML 2024On the Convergence of Projected Bures-Wasserstein Gradient Descent under Euclidean Strong Convexity
  34. ICML 2024On the Last-Iterate Convergence of Shuffling Gradient Methods
  35. ICML 2024Optimal Differentially Private Model Training with Public Data
  36. ICML 2024Optimal Hessian/Jacobian-Free Nonconvex-PL Bilevel Optimization
  37. ICML 2024Optimization without Retraction on the Random Generalized Stiefel Manifold
  38. ICML 2024Overcoming the Optimizer's Curse: Obtaining Realistic Prescriptions from Neural Networks
  39. ICML 2024Plug-in Performative Optimization
  40. ICML 2024Position: Leverage Foundational Models for Black-Box Optimization
  41. ICML 2024Position: Optimization in SciML Should Employ the Function Space Geometry
  42. ICML 2024Posterior Sampling-Based Bayesian Optimization with Tighter Bayesian Regret Bounds
  43. ICML 2024Principled Preferential Bayesian Optimization
  44. ICML 2024Prior Mismatch and Adaptation in PnP-ADMM with a Nonconvex Convergence Analysis
  45. ICML 2024Private and Federated Stochastic Convex Optimization: Efficient Strategies for Centralized Systems
  46. ICML 2024Proactive DP: A Multiple Target Optimization Framework for DP-SGD
  47. ICML 2024Probability Distribution of Hypervolume Improvement in Bi-objective Bayesian Optimization
  48. ICML 2024Projection-Free Online Convex Optimization with Time-Varying Constraints
  49. ICML 2024Projection-Free Variance Reduction Methods for Stochastic Constrained Multi-Level Compositional Optimization
  50. ICML 2024Quantum Algorithm for Online Exp-concave 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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