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 13 / 15 页

  1. ICML 2024Quantum Algorithms and Lower Bounds for Finite-Sum Optimization
  2. ICML 2024Random Exploration in Bayesian Optimization: Order-Optimal Regret and Computational Efficiency
  3. ICML 2024Random Scaling and Momentum for Non-smooth Non-convex Optimization
  4. ICML 2024Rate-Optimal Policy Optimization for Linear Markov Decision Processes
  5. ICML 2024Realistic Unsupervised CLIP Fine-tuning with Universal Entropy Optimization
  6. ICML 2024Refined Coreset Selection: Towards Minimal Coreset Size under Model Performance Constraints
  7. ICML 2024Reflective Policy Optimization
  8. ICML 2024Rethinking Optimization and Architecture for Tiny Language Models
  9. ICML 2024Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark
  10. ICML 2024Reward Model Learning vs. Direct Policy Optimization: A Comparative Analysis of Learning from Human Preferences
  11. ICML 2024Risk-Sensitive Policy Optimization via Predictive CVaR Policy Gradient
  12. ICML 2024Robust Data-driven Prescriptiveness Optimization
  13. ICML 2024Robust Optimization in Protein Fitness Landscapes Using Reinforcement Learning in Latent Space
  14. ICML 2024Robustly Learning Single-Index Models via Alignment Sharpness
  15. ICML 2024Sample Average Approximation for Conditional Stochastic Optimization with Dependent Data
  16. ICML 2024Sarah Frank-Wolfe: Methods for Constrained Optimization with Best Rates and Practical Features
  17. ICML 2024Simplicity Bias via Global Convergence of Sharpness Minimization
  18. ICML 2024Skill Set Optimization: Reinforcing Language Model Behavior via Transferable Skills
  19. ICML 2024Small-loss Adaptive Regret for Online Convex Optimization
  20. ICML 2024Smooth Tchebycheff Scalarization for Multi-Objective Optimization
  21. ICML 2024Smoothing Proximal Gradient Methods for Nonsmooth Sparsity Constrained Optimization: Optimality Conditions and Global Convergence
  22. ICML 2024SPABA: A Single-Loop and Probabilistic Stochastic Bilevel Algorithm Achieving Optimal Sample Complexity
  23. ICML 2024Stochastic Optimization with Arbitrary Recurrent Data Sampling
  24. ICML 2024Stochastic Weakly Convex Optimization beyond Lipschitz Continuity
  25. ICML 2024Symmetric Matrix Completion with ReLU Sampling
  26. ICML 2024Symmetric Replay Training: Enhancing Sample Efficiency in Deep Reinforcement Learning for Combinatorial Optimization
  27. ICML 2024Tackling Prevalent Conditions in Unsupervised Combinatorial Optimization: Cardinality, Minimum, Covering, and More
  28. ICML 2024Token-level Direct Preference Optimization
  29. ICML 2024Towards Efficient Exact Optimization of Language Model Alignment
  30. ICML 2024Transformers Learn Nonlinear Features In Context: Nonconvex Mean-field Dynamics on the Attention Landscape
  31. ICML 2024Tuning-Free Stochastic Optimization
  32. ICML 2024Two Fists, One Heart: Multi-Objective Optimization Based Strategy Fusion for Long-tailed Learning
  33. ICML 2024Two-timescale Derivative Free Optimization for Performative Prediction with Markovian Data
  34. ICML 2024Universal Gradient Methods for Stochastic Convex Optimization
  35. ICML 2024Use Your INSTINCT: INSTruction optimization for LLMs usIng Neural bandits Coupled with Transformers
  36. ICML 2024Vanilla Bayesian Optimization Performs Great in High Dimensions
  37. ICML 2024Verifying message-passing neural networks via topology-based bounds tightening
  38. ICML 2024Zeroth-Order Methods for Constrained Nonconvex Nonsmooth Stochastic Optimization
  39. ICML 2023A Distribution Optimization Framework for Confidence Bounds of Risk Measures
  40. ICML 2023A Fully First-Order Method for Stochastic Bilevel Optimization
  41. ICML 2023A Theoretical Analysis of the Learning Dynamics under Class Imbalance
  42. ICML 2023Accelerated Cyclic Coordinate Dual Averaging with Extrapolation for Composite Convex Optimization
  43. ICML 2023Accelerated Infeasibility Detection of Constrained Optimization and Fixed-Point Iterations
  44. ICML 2023Accelerated Stochastic Optimization Methods under Quasar-convexity
  45. ICML 2023Adaptively Weighted Data Augmentation Consistency Regularization for Robust Optimization under Concept Shift
  46. ICML 2023Analysis of Error Feedback in Federated Non-Convex Optimization with Biased Compression: Fast Convergence and Partial Participation
  47. ICML 2023Answering Complex Logical Queries on Knowledge Graphs via Query Computation Tree Optimization
  48. ICML 2023Automatically Auditing Large Language Models via Discrete Optimization
  49. ICML 2023Averaged Method of Multipliers for Bi-Level Optimization without Lower-Level Strong Convexity
  50. ICML 2023Bandit Online Linear Optimization with Hints and Queries

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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