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 560 篇，第 6 / 12 页

  1. ICML 2024Rate-Optimal Policy Optimization for Linear Markov Decision Processes
  2. ICML 2024Realistic Unsupervised CLIP Fine-tuning with Universal Entropy Optimization
  3. ICML 2024Refined Coreset Selection: Towards Minimal Coreset Size under Model Performance Constraints
  4. ICML 2024Reflective Policy Optimization
  5. ICML 2024Rethinking Optimization and Architecture for Tiny Language Models
  6. ICML 2024Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark
  7. ICML 2024Reward Model Learning vs. Direct Policy Optimization: A Comparative Analysis of Learning from Human Preferences
  8. ICML 2024Risk-Sensitive Policy Optimization via Predictive CVaR Policy Gradient
  9. ICML 2024Robust Data-driven Prescriptiveness Optimization
  10. ICML 2024Robust Optimization in Protein Fitness Landscapes Using Reinforcement Learning in Latent Space
  11. ICML 2024Robustly Learning Single-Index Models via Alignment Sharpness
  12. ICML 2024Sample Average Approximation for Conditional Stochastic Optimization with Dependent Data
  13. ICML 2024Sarah Frank-Wolfe: Methods for Constrained Optimization with Best Rates and Practical Features
  14. ICML 2024Simplicity Bias via Global Convergence of Sharpness Minimization
  15. ICML 2024Skill Set Optimization: Reinforcing Language Model Behavior via Transferable Skills
  16. ICML 2024Small-loss Adaptive Regret for Online Convex Optimization
  17. ICML 2024Smooth Tchebycheff Scalarization for Multi-Objective Optimization
  18. ICML 2024Smoothing Proximal Gradient Methods for Nonsmooth Sparsity Constrained Optimization: Optimality Conditions and Global Convergence
  19. ICML 2024SPABA: A Single-Loop and Probabilistic Stochastic Bilevel Algorithm Achieving Optimal Sample Complexity
  20. ICML 2024Stochastic Optimization with Arbitrary Recurrent Data Sampling
  21. ICML 2024Stochastic Weakly Convex Optimization beyond Lipschitz Continuity
  22. ICML 2024Symmetric Matrix Completion with ReLU Sampling
  23. ICML 2024Symmetric Replay Training: Enhancing Sample Efficiency in Deep Reinforcement Learning for Combinatorial Optimization
  24. ICML 2024Tackling Prevalent Conditions in Unsupervised Combinatorial Optimization: Cardinality, Minimum, Covering, and More
  25. ICML 2024Token-level Direct Preference Optimization
  26. ICML 2024Towards Efficient Exact Optimization of Language Model Alignment
  27. ICML 2024Transformers Learn Nonlinear Features In Context: Nonconvex Mean-field Dynamics on the Attention Landscape
  28. ICML 2024Tuning-Free Stochastic Optimization
  29. ICML 2024Two Fists, One Heart: Multi-Objective Optimization Based Strategy Fusion for Long-tailed Learning
  30. ICML 2024Two-timescale Derivative Free Optimization for Performative Prediction with Markovian Data
  31. ICML 2024Universal Gradient Methods for Stochastic Convex Optimization
  32. ICML 2024Use Your INSTINCT: INSTruction optimization for LLMs usIng Neural bandits Coupled with Transformers
  33. ICML 2024Vanilla Bayesian Optimization Performs Great in High Dimensions
  34. ICML 2024Verifying message-passing neural networks via topology-based bounds tightening
  35. ICML 2024Zeroth-Order Methods for Constrained Nonconvex Nonsmooth Stochastic Optimization
  36. NeurIPS 2024$\beta$-DPO: Direct Preference Optimization with Dynamic $\beta$
  37. NeurIPS 2024A Framework for Bilevel Optimization on Riemannian Manifolds
  38. NeurIPS 2024A Globally Optimal Portfolio for m-Sparse Sharpe Ratio Maximization
  39. NeurIPS 2024A Layer-Wise Natural Gradient Optimizer for Training Deep Neural Networks
  40. NeurIPS 2024A Primal-Dual-Assisted Penalty Approach to Bilevel Optimization with Coupled Constraints
  41. NeurIPS 2024A Single-Step, Sharpness-Aware Minimization is All You Need to Achieve Efficient and Accurate Sparse Training
  42. NeurIPS 2024A survey and benchmark of high-dimensional Bayesian optimization of discrete sequences
  43. NeurIPS 2024Accelerating Matroid Optimization through Fast Imprecise Oracles
  44. NeurIPS 2024Acceleration Exists! Optimization Problems When Oracle Can Only Compare Objective Function Values
  45. NeurIPS 2024Achieving Linear Convergence with Parameter-Free Algorithms in Decentralized Optimization
  46. NeurIPS 2024Achieving Near-Optimal Convergence for Distributed Minimax Optimization with Adaptive Stepsizes
  47. NeurIPS 2024Active Set Ordering
  48. NeurIPS 2024Adam with model exponential moving average is effective for nonconvex optimization
  49. NeurIPS 2024Adaptive and Optimal Second-order Optimistic Methods for Minimax Optimization
  50. NeurIPS 2024Adaptive Proximal Gradient Method for Convex 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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