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 2,330 篇，第 47 / 47 页
- NeurIPS 2023Riemannian SAM: Sharpness-Aware Minimization on Riemannian Manifolds
- NeurIPS 2023Riemannian stochastic optimization methods avoid strict saddle points
- NeurIPS 2023Robust Bayesian Satisficing
- NeurIPS 2023Robust Distributed Learning: Tight Error Bounds and Breakdown Point under Data Heterogeneity
- NeurIPS 2023Robust Learning for Smoothed Online Convex Optimization with Feedback Delay
- NeurIPS 2023Robust Matrix Sensing in the Semi-Random Model
- NeurIPS 2023Robust Second-Order Nonconvex Optimization and Its Application to Low Rank Matrix Sensing
- NeurIPS 2023Sample Complexity for Quadratic Bandits: Hessian Dependent Bounds and Optimal Algorithms
- NeurIPS 2023Sampling weights of deep neural networks
- NeurIPS 2023Searching for Optimal Per-Coordinate Step-sizes with Multidimensional Backtracking
- NeurIPS 2023Single-Call Stochastic Extragradient Methods for Structured Non-monotone Variational Inequalities: Improved Analysis under Weaker Conditions
- NeurIPS 2023SLM: A Smoothed First-Order Lagrangian Method for Structured Constrained Nonconvex Optimization
- NeurIPS 2023SpatialRank: Urban Event Ranking with NDCG Optimization on Spatiotemporal Data
- NeurIPS 2023Stability and Generalization of the Decentralized Stochastic Gradient Descent Ascent Algorithm
- NeurIPS 2023Stable Nonconvex-Nonconcave Training via Linear Interpolation
- NeurIPS 2023StEik: Stabilizing the Optimization of Neural Signed Distance Functions and Finer Shape Representation
- NeurIPS 2023Stochastic Distributed Optimization under Average Second-order Similarity: Algorithms and Analysis
- NeurIPS 2023TD Convergence: An Optimization Perspective
- NeurIPS 2023The Behavior and Convergence of Local Bayesian Optimization
- NeurIPS 2023Three-Way Trade-Off in Multi-Objective Learning: Optimization, Generalization and Conflict-Avoidance
- NeurIPS 2023Training Your Image Restoration Network Better with Random Weight Network as Optimization Function
- NeurIPS 2023Two Sides of One Coin: the Limits of Untuned SGD and the Power of Adaptive Methods
- NeurIPS 2023Unbiased Compression Saves Communication in Distributed Optimization: When and How Much?
- NeurIPS 2023Understanding Multi-phase Optimization Dynamics and Rich Nonlinear Behaviors of ReLU Networks
- NeurIPS 2023Unexpected Improvements to Expected Improvement for Bayesian Optimization
- NeurIPS 2023Universal Gradient Descent Ascent Method for Nonconvex-Nonconcave Minimax Optimization
- NeurIPS 2023Variational Gaussian Processes with Decoupled Conditionals
- NeurIPS 2023VOCE: Variational Optimization with Conservative Estimation for Offline Safe Reinforcement Learning
- NeurIPS 2023Winner Takes It All: Training Performant RL Populations for Combinatorial Optimization
- NeurIPS 2023Zeroth-Order Methods for Nondifferentiable, Nonconvex, and Hierarchical Federated 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"}
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。