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 178 篇，第 1 / 4 页

1. ICLR 2026A Block Coordinate Descent Method for Nonsmooth Composite Optimization under Orthogonality Constraints
2. ICLR 2026A Convergence Analysis of Adaptive Optimizers under Floating-point Quantization
3. ICLR 2026A Scalable Constant-Factor Approximation Algorithm for $W_p$ Optimal Transport
4. ICLR 2026A Tale of Two Smoothness Notions: Adaptive Optimizers and Non-Euclidean Descent
5. ICLR 2026ActiveDPO: Active Direct Preference Optimization for Sample-Efficient Alignment
6. ICLR 2026Ads that Stick: Near-Optimal Ad Optimization through Psychological Behavior Models
7. ICLR 2026Aligner, Diagnose Thyself: A Meta-Learning Paradigm for Fusing Intrinsic Feedback in Preference Alignment
8. ICLR 2026AutoQD: Automatic Discovery of Diverse Behaviors with Quality-Diversity Optimization
9. ICLR 2026Behavioral Embeddings of Programs: A Quasi-Dynamic Approach for Optimization Prediction
10. ICLR 2026BEP: A Binary Error Propagation Algorithm for Binary Neural Networks Training
11. ICLR 2026Beyond Short Steps in Frank-Wolfe Algorithms
12. ICLR 2026Bilevel Optimization with Lower-Level Uniform Convexity: Theory and Algorithm
13. ICLR 2026Binomial Gradient-Based Meta-Learning for Enhanced Meta-Gradient Estimation
14. ICLR 2026Birch SGD: A Tree Graph Framework for Local and Asynchronous SGD Methods
15. ICLR 2026BoGrape: Bayesian optimization over graphs with shortest-path encoded
16. ICLR 2026Breaking the Correlation Plateau: On the Optimization and Capacity Limits of Attention-Based Regressors
17. ICLR 2026Bridging Draft Policy Misalignment: Group Tree Optimization for Speculative Decoding
18. ICLR 2026Byzantine-Robust Federated Learning with Learnable Aggregation Weights
19. ICLR 2026Cautious Weight Decay
20. ICLR 2026Clipped Gradient Methods for Nonsmooth Convex Optimization under Heavy-Tailed Noise: A Refined Analysis
21. ICLR 2026Combinatorial Bandit Bayesian Optimization for Tensor Outputs
22. ICLR 2026Communication-Efficient Decentralized Optimization via Double-Communication Symmetric ADMM
23. ICLR 2026Completed Hyperparameter Transfer across Modules, Width, Depth, Batch and Duration
24. ICLR 2026Composite Optimization with Error Feedback: the Dual Averaging Approach
25. ICLR 2026ConRep4CO: Contrastive Representation Learning of Combinatorial Optimization Instances across Types
26. ICLR 2026Constraint-guided Hardware-aware NAS through Gradient Modification
27. ICLR 2026Continuous Chain of Thought Enables Parallel Exploration and Reasoning
28. ICLR 2026Converge Faster, Talk Less: Hessian-Informed Federated Zeroth-Order Optimization
29. ICLR 2026Convergence Dynamics of Over-Parameterized Score Matching for a Single Gaussian
30. ICLR 2026Convergence of an actor-critic gradient flow for entropy regularised MDPs in general spaces
31. ICLR 2026Convergence of Muon with Newton-Schulz
32. ICLR 2026Convergence of Regret Matching in Potential Games and Constrained Optimization
33. ICLR 2026Corner Gradient Descent
34. ICLR 2026Decentralized Nonconvex Optimization under Heavy-Tailed Noise: Normalization and Optimal Convergence
35. ICLR 2026Deep FlexQP: Accelerated Nonlinear Programming via Deep Unfolding
36. ICLR 2026DeMo: Decoupled Momentum Optimization
37. ICLR 2026Derandomized Online-to-Non-convex Conversion for Stochastic Weakly Convex Optimization
38. ICLR 2026Diffusion-DFL: Decision-focused Diffusion Models for Stochastic Optimization
39. ICLR 2026Discount Model Search for Quality Diversity Optimization in High-Dimensional Measure Spaces
40. ICLR 2026Discounted Online Convex Optimization: Uniform Regret Across a Continuous Interval
41. ICLR 2026Discovering Hierarchical Software Engineering Agents via Bandit Optimization
42. ICLR 2026Discrete Diffusion Trajectory Alignment via Stepwise Decomposition
43. ICLR 2026DNT: a Deeply Normalized Transformer that can be trained by Momentum SGD
44. ICLR 2026DR-SAC: Distributionally Robust Soft Actor-Critic for Reinforcement Learning under Uncertainty
45. ICLR 2026DTO-KD: Dynamic Trade-off Optimization for Effective Knowledge Distillation
46. ICLR 2026Dual Optimistic Ascent (PI Control) is the Augmented Lagrangian Method in Disguise
47. ICLR 2026EAMET: ROBUST MASSIVE MODEL EDITING VIA EMBEDDING ALIGNMENT OPTIMIZATION
48. ICLR 2026Efficient Multi-objective Prompt Optimization via Pure-exploration Bandits
49. ICLR 2026Efficient Sliced Wasserstein Distance Computation via Adaptive Bayesian Optimization
50. ICLR 2026Efficient Submodular Maximization for Sums of Concave over Modular Functions

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。