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 275 篇，第 5 / 6 页

  1. NeurIPS 2024Rejection via Learning Density Ratios
  2. NeurIPS 2024ReLIZO: Sample Reusable Linear Interpolation-based Zeroth-order Optimization
  3. NeurIPS 2024Remove that Square Root: A New Efficient Scale-Invariant Version of AdaGrad
  4. NeurIPS 2024Reshuffling Resampling Splits Can Improve Generalization of Hyperparameter Optimization
  5. NeurIPS 2024Resolving Discrepancies in Compute-Optimal Scaling of Language Models
  6. NeurIPS 2024Rethinking the Membrane Dynamics and Optimization Objectives of Spiking Neural Networks
  7. NeurIPS 2024Revive Re-weighting in Imbalanced Learning by Density Ratio Estimation
  8. NeurIPS 2024Robust Gaussian Processes via Relevance Pursuit
  9. NeurIPS 2024Robust Prompt Optimization for Defending Language Models Against Jailbreaking Attacks
  10. NeurIPS 2024S-SOS: Stochastic Sum-Of-Squares for Parametric Polynomial Optimization
  11. NeurIPS 2024Safe and Sparse Newton Method for Entropic-Regularized Optimal Transport
  12. NeurIPS 2024Sample-Efficient Geometry Reconstruction from Euclidean Distances using Non-Convex Optimization
  13. NeurIPS 2024Scalable Bayesian Optimization via Focalized Sparse Gaussian Processes
  14. NeurIPS 2024Scalable Kernel Inverse Optimization
  15. NeurIPS 2024Scalable Optimization in the Modular Norm
  16. NeurIPS 2024Second-order forward-mode optimization of recurrent neural networks for neuroscience
  17. NeurIPS 2024Semidefinite Relaxations of the Gromov-Wasserstein Distance
  18. NeurIPS 2024SequentialAttention++ for Block Sparsification: Differentiable Pruning Meets Combinatorial Optimization
  19. NeurIPS 2024Shadowheart SGD: Distributed Asynchronous SGD with Optimal Time Complexity Under Arbitrary Computation and Communication Heterogeneity
  20. NeurIPS 2024Sharpness-Aware Minimization Activates the Interactive Teaching's Understanding and Optimization
  21. NeurIPS 2024Sharpness-diversity tradeoff: improving flat ensembles with SharpBalance
  22. NeurIPS 2024Shuffling Gradient-Based Methods for Nonconvex-Concave Minimax Optimization
  23. NeurIPS 2024Single-Loop Stochastic Algorithms for Difference of Max-Structured Weakly Convex Functions
  24. NeurIPS 2024Sketching for Distributed Deep Learning: A Sharper Analysis
  25. NeurIPS 2024SkipPredict: When to Invest in Predictions for Scheduling
  26. NeurIPS 2024SLowcalSGD : Slow Query Points Improve Local-SGD for Stochastic Convex Optimization
  27. NeurIPS 2024SPARKLE: A Unified Single-Loop Primal-Dual Framework for Decentralized Bilevel Optimization
  28. NeurIPS 2024Stability and Generalization of Adversarial Training for Shallow Neural Networks with Smooth Activation
  29. NeurIPS 2024Stabilized Proximal-Point Methods for Federated Optimization
  30. NeurIPS 2024Statistical Estimation in the Spiked Tensor Model via the Quantum Approximate Optimization Algorithm
  31. NeurIPS 2024Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements
  32. NeurIPS 2024Stochastic Newton Proximal Extragradient Method
  33. NeurIPS 2024Stochastic Optimization Algorithms for Instrumental Variable Regression with Streaming Data
  34. NeurIPS 2024Stochastic Optimization Schemes for Performative Prediction with Nonconvex Loss
  35. NeurIPS 2024Stochastic Zeroth-Order Optimization under Strongly Convexity and Lipschitz Hessian: Minimax Sample Complexity
  36. NeurIPS 2024Stopping Bayesian Optimization with Probabilistic Regret Bounds
  37. NeurIPS 2024Super Consistency of Neural Network Landscapes and Learning Rate Transfer
  38. NeurIPS 2024SymILO: A Symmetry-Aware Learning Framework for Integer Linear Optimization
  39. NeurIPS 2024Teach Better or Show Smarter? On Instructions and Exemplars in Automatic Prompt Optimization
  40. NeurIPS 2024The Challenges of the Nonlinear Regime for Physics-Informed Neural Networks
  41. NeurIPS 2024The Collusion of Memory and Nonlinearity in Stochastic Approximation With Constant Stepsize
  42. NeurIPS 2024The Empirical Impact of Neural Parameter Symmetries, or Lack Thereof
  43. NeurIPS 2024The High Line: Exact Risk and Learning Rate Curves of Stochastic Adaptive Learning Rate Algorithms
  44. NeurIPS 2024The Implicit Bias of Adam on Separable Data
  45. NeurIPS 2024The Iterative Optimal Brain Surgeon: Faster Sparse Recovery by Leveraging Second-Order Information
  46. NeurIPS 2024The Power of Extrapolation in Federated Learning
  47. NeurIPS 2024The Road Less Scheduled
  48. NeurIPS 2024The Sample Complexity of Gradient Descent in Stochastic Convex Optimization
  49. NeurIPS 2024The Space Complexity of Approximating Logistic Loss
  50. NeurIPS 2024The Star Geometry of Critic-Based Regularizer Learning

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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