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 17 / 47 页

  1. ICLR 2025Adversarial Search Engine Optimization for Large Language Models
  2. ICLR 2025Aioli: A Unified Optimization Framework for Language Model Data Mixing
  3. ICLR 2025An Asynchronous Bundle Method for Distributed Learning Problems
  4. ICLR 2025An Effective Manifold-based Optimization Method for Distributionally Robust Classification
  5. ICLR 2025Approximation algorithms for combinatorial optimization with predictions
  6. ICLR 2025Attention with Markov: A Curious Case of Single-layer Transformers
  7. ICLR 2025Bayesian Optimization via Continual Variational Last Layer Training
  8. ICLR 2025Beyond Linear Approximations: A Novel Pruning Approach for Attention Matrix
  9. ICLR 2025Bi-Factorial Preference Optimization: Balancing Safety-Helpfulness in Language Models
  10. ICLR 2025Boosting Neural Combinatorial Optimization for Large-Scale Vehicle Routing Problems
  11. ICLR 2025Boosting Perturbed Gradient Ascent for Last-Iterate Convergence in Games
  12. ICLR 2025Bounds on $L_p$ Errors in Density Ratio Estimation via $f$-Divergence Loss Functions
  13. ICLR 2025BP-Modified Local Loss for Efficient Training of Deep Neural Networks
  14. ICLR 2025Bridging Jensen Gap for Max-Min Group Fairness Optimization in Recommendation
  15. ICLR 2025Can Reinforcement Learning Solve Asymmetric Combinatorial-Continuous Zero-Sum Games?
  16. ICLR 2025Cauchy-Schwarz Regularizers
  17. ICLR 2025Causal Discovery via Bayesian Optimization
  18. ICLR 2025CHiP: Cross-modal Hierarchical Direct Preference Optimization for Multimodal LLMs
  19. ICLR 2025Collaborative Discrete-Continuous Black-Box Prompt Learning for Language Models
  20. ICLR 2025Complexity Lower Bounds of Adaptive Gradient Algorithms for Non-convex Stochastic Optimization under Relaxed Smoothness
  21. ICLR 2025CONGO: Compressive Online Gradient Optimization
  22. ICLR 2025Controllable Unlearning for Image-to-Image Generative Models via $\epsilon$-Constrained Optimization
  23. ICLR 2025Convergence of Distributed Adaptive Optimization with Local Updates
  24. ICLR 2025Decentralized Optimization with Coupled Constraints
  25. ICLR 2025Decision Information Meets Large Language Models: The Future of Explainable Operations Research
  26. ICLR 2025Deconstructing What Makes a Good Optimizer for Autoregressive Language Models
  27. ICLR 2025Deep Distributed Optimization for Large-Scale Quadratic Programming
  28. ICLR 2025DeepTAGE: Deep Temporal-Aligned Gradient Enhancement for Optimizing Spiking Neural Networks
  29. ICLR 2025Differentially private optimization for non-decomposable objective functions
  30. ICLR 2025Diffusion Models are Evolutionary Algorithms
  31. ICLR 2025Dimension Agnostic Neural Processes
  32. ICLR 2025DiSK: Differentially Private Optimizer with Simplified Kalman Filter for Noise Reduction
  33. ICLR 2025DLEFT-MKC: Dynamic Late Fusion Multiple Kernel Clustering with Robust Tensor Learning via Min-Max Optimization
  34. ICLR 2025Do Stochastic, Feel Noiseless: Stable Stochastic Optimization via a Double Momentum Mechanism
  35. ICLR 2025Does SGD really happen in tiny subspaces?
  36. ICLR 2025Earlier Tokens Contribute More: Learning Direct Preference Optimization From Temporal Decay Perspective
  37. ICLR 2025Efficient and Robust Neural Combinatorial Optimization via Wasserstein-Based Coresets
  38. ICLR 2025Efficient Interpolation between Extragradient and Proximal Methods for Weak MVIs
  39. ICLR 2025Efficient Sparse PCA via Block-Diagonalization
  40. ICLR 2025Entropy-based Activation Function Optimization: A Method on Searching Better Activation Functions
  41. ICLR 2025Fair Submodular Cover
  42. ICLR 2025Few for Many: Tchebycheff Set Scalarization for Many-Objective Optimization
  43. ICLR 2025FlashRNN: I/O-Aware Optimization of Traditional RNNs on modern hardware
  44. ICLR 2025FLOPS: Forward Learning with OPtimal Sampling
  45. ICLR 2025From Decoupling to Adaptive Transformation: a Wider Optimization Space for PTQ
  46. ICLR 2025From Promise to Practice: Realizing High-performance Decentralized Training
  47. ICLR 2025Functional Homotopy: Smoothing Discrete Optimization via Continuous Parameters for LLM Jailbreak Attacks
  48. ICLR 2025Generating Likely Counterfactuals Using Sum-Product Networks
  49. ICLR 2025Geometric Inductive Biases of Deep Networks: The Role of Data and Architecture
  50. ICLR 2025Global Convergence in Neural ODEs: Impact of Activation Functions

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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