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 39 / 47 页

  1. NeurIPS 2024Provable Acceleration of Nesterov's Accelerated Gradient for Asymmetric Matrix Factorization and Linear Neural Networks
  2. NeurIPS 2024Provably Faster Algorithms for Bilevel Optimization via Without-Replacement Sampling
  3. NeurIPS 2024Public-data Assisted Private Stochastic Optimization: Power and Limitations
  4. NeurIPS 2024Quantitative Convergences of Lie Group Momentum Optimizers
  5. NeurIPS 2024Random Function Descent
  6. NeurIPS 2024Randomized Sparse Matrix Compression for Large-Scale Constrained Optimization in Cancer Radiotherapy
  7. NeurIPS 2024Recurrent neural networks: vanishing and exploding gradients are not the end of the story
  8. NeurIPS 2024ReEvo: Large Language Models as Hyper-Heuristics with Reflective Evolution
  9. NeurIPS 2024Regularized Q-Learning
  10. NeurIPS 2024Rejection via Learning Density Ratios
  11. NeurIPS 2024ReLIZO: Sample Reusable Linear Interpolation-based Zeroth-order Optimization
  12. NeurIPS 2024Remove that Square Root: A New Efficient Scale-Invariant Version of AdaGrad
  13. NeurIPS 2024Reshuffling Resampling Splits Can Improve Generalization of Hyperparameter Optimization
  14. NeurIPS 2024Resolving Discrepancies in Compute-Optimal Scaling of Language Models
  15. NeurIPS 2024Rethinking the Membrane Dynamics and Optimization Objectives of Spiking Neural Networks
  16. NeurIPS 2024Revive Re-weighting in Imbalanced Learning by Density Ratio Estimation
  17. NeurIPS 2024Robust Gaussian Processes via Relevance Pursuit
  18. NeurIPS 2024Robust Prompt Optimization for Defending Language Models Against Jailbreaking Attacks
  19. NeurIPS 2024S-SOS: Stochastic Sum-Of-Squares for Parametric Polynomial Optimization
  20. NeurIPS 2024Safe and Sparse Newton Method for Entropic-Regularized Optimal Transport
  21. NeurIPS 2024Sample-Efficient Geometry Reconstruction from Euclidean Distances using Non-Convex Optimization
  22. NeurIPS 2024Scalable Bayesian Optimization via Focalized Sparse Gaussian Processes
  23. NeurIPS 2024Scalable Kernel Inverse Optimization
  24. NeurIPS 2024Scalable Optimization in the Modular Norm
  25. NeurIPS 2024Second-order forward-mode optimization of recurrent neural networks for neuroscience
  26. NeurIPS 2024Semidefinite Relaxations of the Gromov-Wasserstein Distance
  27. NeurIPS 2024SequentialAttention++ for Block Sparsification: Differentiable Pruning Meets Combinatorial Optimization
  28. NeurIPS 2024Shadowheart SGD: Distributed Asynchronous SGD with Optimal Time Complexity Under Arbitrary Computation and Communication Heterogeneity
  29. NeurIPS 2024Sharpness-Aware Minimization Activates the Interactive Teaching's Understanding and Optimization
  30. NeurIPS 2024Sharpness-diversity tradeoff: improving flat ensembles with SharpBalance
  31. NeurIPS 2024Shuffling Gradient-Based Methods for Nonconvex-Concave Minimax Optimization
  32. NeurIPS 2024Single-Loop Stochastic Algorithms for Difference of Max-Structured Weakly Convex Functions
  33. NeurIPS 2024Sketching for Distributed Deep Learning: A Sharper Analysis
  34. NeurIPS 2024SkipPredict: When to Invest in Predictions for Scheduling
  35. NeurIPS 2024SLowcalSGD : Slow Query Points Improve Local-SGD for Stochastic Convex Optimization
  36. NeurIPS 2024SPARKLE: A Unified Single-Loop Primal-Dual Framework for Decentralized Bilevel Optimization
  37. NeurIPS 2024Stability and Generalization of Adversarial Training for Shallow Neural Networks with Smooth Activation
  38. NeurIPS 2024Stabilized Proximal-Point Methods for Federated Optimization
  39. NeurIPS 2024Statistical Estimation in the Spiked Tensor Model via the Quantum Approximate Optimization Algorithm
  40. NeurIPS 2024Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements
  41. NeurIPS 2024Stochastic Newton Proximal Extragradient Method
  42. NeurIPS 2024Stochastic Optimization Algorithms for Instrumental Variable Regression with Streaming Data
  43. NeurIPS 2024Stochastic Optimization Schemes for Performative Prediction with Nonconvex Loss
  44. NeurIPS 2024Stochastic Zeroth-Order Optimization under Strongly Convexity and Lipschitz Hessian: Minimax Sample Complexity
  45. NeurIPS 2024Stopping Bayesian Optimization with Probabilistic Regret Bounds
  46. NeurIPS 2024Super Consistency of Neural Network Landscapes and Learning Rate Transfer
  47. NeurIPS 2024SymILO: A Symmetry-Aware Learning Framework for Integer Linear Optimization
  48. NeurIPS 2024Teach Better or Show Smarter? On Instructions and Exemplars in Automatic Prompt Optimization
  49. NeurIPS 2024The Challenges of the Nonlinear Regime for Physics-Informed Neural Networks
  50. NeurIPS 2024The Collusion of Memory and Nonlinearity in Stochastic Approximation With Constant Stepsize

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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