非凸优化论文趋势 2023–2026

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。

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 192 篇，第 1 / 4 页

1. ICML 2025A Bregman Proximal Viewpoint on Neural Operators
2. ICML 2025A Comprehensive Framework for Analyzing the Convergence of Adam: Bridging the Gap with SGD
3. ICML 2025A First-order Generative Bilevel Optimization Framework for Diffusion Models
4. ICML 2025A Generalization Result for Convergence in Learning-to-Optimize
5. ICML 2025A Memory Efficient Randomized Subspace Optimization Method for Training Large Language Models
6. ICML 2025A Near Linear Query Lower Bound for Submodular Maximization
7. ICML 2025A Near-Optimal Single-Loop Stochastic Algorithm for Convex Finite-Sum Coupled Compositional Optimization
8. ICML 2025A Parameter-Free and Near-Optimal Zeroth-Order Algorithm for Stochastic Convex Optimization
9. ICML 2025A Unified Framework for Entropy Search and Expected Improvement in Bayesian Optimization
10. ICML 2025Accelerating PDE-Constrained Optimization by the Derivative of Neural Operators
11. ICML 2025Achieving Linear Speedup and Near-Optimal Complexity for Decentralized Optimization over Row-stochastic Networks
12. ICML 2025Active Learning of Deep Neural Networks via Gradient-Free Cutting Planes
13. ICML 2025Adaptive Partitioning Schemes for Optimistic Optimization
14. ICML 2025Addressing Concept Mislabeling in Concept Bottleneck Models Through Preference Optimization
15. ICML 2025Aequa: Fair Model Rewards in Collaborative Learning via Slimmable Networks
16. ICML 2025AMPO: Active Multi Preference Optimization for Self-play Preference Selection
17. ICML 2025An Online Adaptive Sampling Algorithm for Stochastic Difference-of-convex Optimization with Time-varying Distributions
18. ICML 2025Armijo Line-search Can Make (Stochastic) Gradient Descent Provably Faster
19. ICML 2025Attention-Only Transformers via Unrolled Subspace Denoising
20. ICML 2025Autoformulation of Mathematical Optimization Models Using LLMs
21. ICML 2025Automatic Differentiation of Optimization Algorithms with Time-Varying Updates
22. ICML 2025BackSlash: Rate Constrained Optimized Training of Large Language Models
23. ICML 2025BARK: A Fully Bayesian Tree Kernel for Black-box Optimization
24. ICML 2025Behavior-Regularized Diffusion Policy Optimization for Offline Reinforcement Learning
25. ICML 2025BILBO: BILevel Bayesian Optimization
26. ICML 2025BOPO: Neural Combinatorial Optimization via Best-anchored and Objective-guided Preference Optimization
27. ICML 2025BSO: Binary Spiking Online Optimization Algorithm
28. ICML 2025Clipped SGD Algorithms for Performative Prediction: Tight Bounds for Stochastic Bias and Remedies
29. ICML 2025Clipping Improves Adam-Norm and AdaGrad-Norm when the Noise Is Heavy-Tailed
30. ICML 2025COExpander: Adaptive Solution Expansion for Combinatorial Optimization
31. ICML 2025Compute or Load KV Cache? Why Not Both?
32. ICML 2025ConfPO: Exploiting Policy Model Confidence for Critical Token Selection in Preference Optimization
33. ICML 2025Consensus Based Stochastic Optimal Control
34. ICML 2025Constant Stepsize Local GD for Logistic Regression: Acceleration by Instability
35. ICML 2025Constrained Online Convex Optimization with Polyak Feasibility Steps
36. ICML 2025Contextual Optimization Under Model Misspecification: A Tractable and Generalizable Approach
37. ICML 2025Convergence of Mean-Field Langevin Stochastic Descent-Ascent for Distributional Minimax Optimization
38. ICML 2025Convergence of Policy Mirror Descent Beyond Compatible Function Approximation
39. ICML 2025Cover learning for large-scale topology representation
40. ICML 2025Density Ratio Estimation-based Bayesian Optimization with Semi-Supervised Learning
41. ICML 2025Differentiable Quadratic Optimization For the Maximum Independent Set Problem
42. ICML 2025Differentiable Structure Learning with Ancestral Constraints
43. ICML 2025Direct Density Ratio Optimization: A Statistically Consistent Approach to Aligning Large Language Models
44. ICML 2025Discrepancy Minimization in Input-Sparsity Time
45. ICML 2025Distributed Event-Based Learning via ADMM
46. ICML 2025Distributed Retraction-Free and Communication-Efficient Optimization on the Stiefel Manifold
47. ICML 2025DTZO: Distributed Trilevel Zeroth Order Learning with Provable Non-Asymptotic Convergence
48. ICML 2025Dueling Convex Optimization with General Preferences
49. ICML 2025EARL-BO: Reinforcement Learning for Multi-Step Lookahead, High-Dimensional Bayesian Optimization
50. ICML 2025Efficient Bisection Projection to Ensure Neural-Network Solution Feasibility for Optimization over General Set

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。