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
- 非凸优化论文从 2023 年的 346 篇增长到 2026 年的 757 篇，三年间扩大到约 2.2 倍。
- NeurIPS 是发非凸优化论文最多的会议，2023–2026 年共 958 篇，占四个会议总量的 41%。
- 交叉方向里涨得最快的是扩散模型：同时属于两个主题的论文从 2023 年的 2 篇增至 2026 年的 44 篇。
- 在「优化与缩放」的 5 个主题里，它的 2026 年论文数排第 2；同组增长最快的缩放定律是 4.1 倍，非凸优化是 2.2 倍。
各会议论文数
按年份和会议统计
| 年份 | NeurIPS | ICLR | ICML | CVPR | 合计 |
|---|---|---|---|---|---|
| 2023 | 154 | 79 | 98 | 15 | 346 |
| 2024 | 275 | 107 | 160 | 18 | 560 |
| 2025 | 279 | 177 | 192 | 19 | 667 |
| 2026 | 250 | 178 | 286 | 43 | 757 |
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
- NeurIPS 2026$\gamma$-weakly $\theta$-up-concavity: A Unified Framework for Non-Convex Optimization Beyond DR-Submodular and OSS Functions
- ICML 2026$\texttt{MetaDistill}$: Unlocking the Performance Ceiling for Pretrained Optimizers
- ICLR 2026Behavioral Embeddings of Programs: A Quasi-Dynamic Approach for Optimization Prediction
- CVPR 2026Coverage Optimization for Camera View Selection
- NeurIPS 2025Beyond Random: Automatic Inner-loop Optimization in Dataset Distillation
- ICML 2025A Bregman Proximal Viewpoint on Neural Operators
- ICLR 2025A Truncated Newton Method for Optimal Transport
- CVPR 2025Balanced Rate-Distortion Optimization in Learned Image Compression
- NeurIPS 2024A survey and benchmark of high-dimensional Bayesian optimization of discrete sequences
- ICML 2024A Doubly Recursive Stochastic Compositional Gradient Descent Method for Federated Multi-Level Compositional Optimization
- ICLR 2024Bayesian Coreset Optimization for Personalized Federated Learning
- CVPR 2024FaceCom: Towards High-fidelity 3D Facial Shape Completion via Optimization and Inpainting Guidance
- NeurIPS 2023A Computation and Communication Efficient Method for Distributed Nonconvex Problems in the Partial Participation Setting
- ICML 2023A Distribution Optimization Framework for Confidence Bounds of Risk Measures
- ICLR 2023A view of mini-batch SGD via generating functions: conditions of convergence, phase transitions, benefit from negative momenta.
- CVPR 2023Attribute-Preserving Face Dataset Anonymization via Latent Code Optimization
- NeurIPS 2026A Doubly Smoothed Decentralized Stochastic Minimax Optimization Algorithm
- ICML 2026A Constrained Optimization Perspective of Unrolled Transformers
- ICLR 2026BEP: A Binary Error Propagation Algorithm for Binary Neural Networks Training
- CVPR 2026Fully Decentralized Certified Unlearning
全部非凸优化论文
共 279 篇，第 6 / 6 页
- NeurIPS 2025Stochastic Momentum Methods for Non-smooth Non-Convex Finite-Sum Coupled Compositional Optimization
- NeurIPS 2025Stochastic Optimization in Semi-Discrete Optimal Transport: Convergence Analysis and Minimax Rate
- NeurIPS 2025Structure-Aware Cooperative Ensemble Evolutionary Optimization on Combinatorial Problems with Multimodal Large Language Models
- NeurIPS 2025SubTrack++ : Gradient Subspace Tracking for Scalable LLM Training
- NeurIPS 2025System Prompt Optimization with Meta-Learning
- NeurIPS 2025TANDEM: Bi-Level Data Mixture Optimization with Twin Networks
- NeurIPS 2025Targeted Maximum Likelihood Learning: An Optimization Perspective
- NeurIPS 2025The Bias-Variance Tradeoff in Data-Driven Optimization: A Local Misspecification Perspective
- NeurIPS 2025The Complexity of Symmetric Equilibria in Min-Max Optimization and Team Zero-Sum Games
- NeurIPS 2025The Fragile Truth of Saliency: Improving LLM Input Attribution via Attention Bias Optimization
- NeurIPS 2025Theoretical Investigation of Adafactor for Non-Convex Smooth Optimization
- NeurIPS 2025Thompson Sampling in Function Spaces via Neural Operators
- NeurIPS 2025Tight analyses of first-order methods with error feedback
- NeurIPS 2025Tight High-Probability Bounds for Nonconvex Heavy-Tailed Scenario under Weaker Assumptions
- NeurIPS 2025Tight Lower Bounds and Improved Convergence in Performative Prediction
- NeurIPS 2025TokMan:Tokenize Manhattan Mask Optimization for Inverse Lithography
- NeurIPS 2025Towards Straggler-Resilient Split Federated Learning: An Unbalanced Update Approach
- NeurIPS 2025Training the Untrainable: Introducing Inductive Bias via Representational Alignment
- NeurIPS 2025Transformers Learn Faster with Semantic Focus
- NeurIPS 2025Trust Region Reward Optimization and Proximal Inverse Reward Optimization Algorithm
- NeurIPS 2025Týr-the-Pruner: Structural Pruning LLMs via Global Sparsity Distribution Optimization
- NeurIPS 2025UFO-RL: Uncertainty-Focused Optimization for Efficient Reinforcement Learning Data Selection
- NeurIPS 2025Uniform Wrappers: Bridging Concave to Quadratizable Functions in Online Optimization
- NeurIPS 2025Unsupervised Learning for Optimal Transport plan prediction between unbalanced graphs
- NeurIPS 2025Variance-Reduced Long-Term Rehearsal Learning with Quadratic Programming Reformulation
- NeurIPS 2025Variational Inference with Mixtures of Isotropic Gaussians
- NeurIPS 2025VGGT-SLAM: Dense RGB SLAM Optimized on the SL(4) Manifold
- NeurIPS 2025What Data Enables Optimal Decisions? An Exact Characterization for Linear Optimization
- NeurIPS 2025Zeroth-Order Optimization Finds Flat Minima
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"}
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。