理论 · optimization论文趋势 2023–2026

主要结论

• 理论 · optimization论文从 2023 年的 123 篇增长到 2026 年的 584 篇，三年间扩大到约 4.7 倍。
• NeurIPS 是发理论 · optimization论文最多的会议，2023–2026 年共 778 篇，占四个会议总量的 42%。
• 交叉方向里涨得最快的是低秩适配：同时属于两个主题的论文从 2023 年的 0 篇增至 2026 年的 31 篇。
• 在「理论与统计」的 5 个主题里，它的 2026 年论文数排第 1；同组增长最快的理论 · learning theory是 5.6 倍，理论 · optimization是 4.7 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 2026A Mechanistic Investigation of Theory of Mind in a Large Language Model
• ICML 2026A Direct Second-Order Method for Solving Two-Player Zero-Sum Games
• ICLR 2026A Convergence Analysis of Adaptive Optimizers under Floating-point Quantization
• CVPR 2026TriSim Tri-Dimensional Similarity Modeling with Extreme Value Theory for False-Negative
• NeurIPS 20253BASiL: An Algorithmic Framework for Sparse plus Low-Rank Compression of LLMs
• ICML 2025Active Learning of Deep Neural Networks via Gradient-Free Cutting Planes
• ICLR 2025A Coefficient Makes SVRG Effective
• CVPR 2025Dynamic Stereotype Theory Induced Micro-expression Recognition with Oriented Deformation
• NeurIPS 2024A Combinatorial Algorithm for the Semi-Discrete Optimal Transport Problem
• ICML 2024A Statistical Theory of Regularization-Based Continual Learning
• ICLR 2024A Discretization Framework for Robust Contextual Stochastic Optimization
• NeurIPS 2023[Re] Bandit Theory and Thompson Sampling-guided Directed Evolution for Sequence Optimization
• ICML 2023Averaged Method of Multipliers for Bi-Level Optimization without Lower-Level Strong Convexity
• ICLR 2023Adaptive Optimization in the $\infty$-Width Limit
• CVPR 2023Deep Hashing With Minimal-Distance-Separated Hash Centers
• NeurIPS 2026Avoiding Obfuscation with Prover-Estimator Debate
• ICML 2026A General Framework for Dynamic Consistent Submodular Maximization
• ICLR 2026A Memory-Efficient Hierarchical Algorithm for Large-scale Optimal Transport Problems
• CVPR 2026FedAdamom Adaptive Momentum for Improved Generalization in Federated Optimization
• NeurIPS 2025A Beyond-Worst-Case Analysis of Greedy k-means++

全部理论 · optimization论文

共 196 篇，第 1 / 4 页

1. ICLR 2025A Coefficient Makes SVRG Effective
2. ICLR 2025A Deep Generative Learning Approach for Two-stage Adaptive Robust Optimization
3. ICLR 2025A New Perspective on Shampoo's Preconditioner
4. ICLR 2025A Stochastic Approach to the Subset Selection Problem via Mirror Descent
5. ICLR 2025A Theory of Initialisation's Impact on Specialisation
6. ICLR 2025A Tight Convergence Analysis of Inexact Stochastic Proximal Point Algorithm for Stochastic Composite Optimization Problems
7. ICLR 2025A Unified Theory of Quantum Neural Network Loss Landscapes
8. ICLR 2025Accelerated Over-Relaxation Heavy-Ball Method: Achieving Global Accelerated Convergence with Broad Generalization
9. ICLR 2025Accelerated training through iterative gradient propagation along the residual path
10. ICLR 2025Achieving Dimension-Free Communication in Federated Learning via Zeroth-Order Optimization
11. ICLR 2025AdaFisher: Adaptive Second Order Optimization via Fisher Information
12. ICLR 2025AdaGrad under Anisotropic Smoothness
13. ICLR 2025Adam Exploits $\ell_\infty$-geometry of Loss Landscape via Coordinate-wise Adaptivity
14. ICLR 2025ADAM Optimization with Adaptive Batch Selection
15. ICLR 2025Adam-mini: Use Fewer Learning Rates To Gain More
16. ICLR 2025Adaptive backtracking line search
17. ICLR 2025Adaptive Methods through the Lens of SDEs: Theoretical Insights on the Role of Noise
18. ICLR 2025Addax: Utilizing Zeroth-Order Gradients to Improve Memory Efficiency and Performance of SGD for Fine-Tuning Language Models
19. ICLR 2025ADMM for Nonconvex Optimization under Minimal Continuity Assumption
20. ICLR 2025ADMM for Structured Fractional Minimization
21. ICLR 2025Adversarial Generative Flow Network for Solving Vehicle Routing Problems
22. ICLR 2025Adversarial Training Can Provably Improve Robustness: Theoretical Analysis of Feature Learning Process Under Structured Data
23. ICLR 2025An Asynchronous Bundle Method for Distributed Learning Problems
24. ICLR 2025An Effective Manifold-based Optimization Method for Distributionally Robust Classification
25. ICLR 2025An Online Learning Theory of Trading-Volume Maximization
26. ICLR 2025Analyzing Neural Scaling Laws in Two-Layer Networks with Power-Law Data Spectra
27. ICLR 2025Approximation algorithms for combinatorial optimization with predictions
28. ICLR 2025Asymptotic Analysis of Two-Layer Neural Networks after One Gradient Step under Gaussian Mixtures Data with Structure
29. ICLR 2025Attention layers provably solve single-location regression
30. ICLR 2025Boosting Perturbed Gradient Ascent for Last-Iterate Convergence in Games
31. ICLR 2025Bounds on $L_p$ Errors in Density Ratio Estimation via $f$-Divergence Loss Functions
32. ICLR 2025BP-Modified Local Loss for Efficient Training of Deep Neural Networks
33. ICLR 2025BTBS-LNS: Binarized-Tightening, Branch and Search on Learning LNS Policies for MIP
34. ICLR 2025Cauchy-Schwarz Regularizers
35. ICLR 2025Collaborative Discrete-Continuous Black-Box Prompt Learning for Language Models
36. ICLR 2025Competitive Fair Scheduling with Predictions
37. ICLR 2025Complexity Lower Bounds of Adaptive Gradient Algorithms for Non-convex Stochastic Optimization under Relaxed Smoothness
38. ICLR 2025Computational Explorations of Total Variation Distance
39. ICLR 2025CONGO: Compressive Online Gradient Optimization
40. ICLR 2025Contractive Dynamical Imitation Policies for Efficient Out-of-Sample Recovery
41. ICLR 2025Convergence of Distributed Adaptive Optimization with Local Updates
42. ICLR 2025Convex Formulations for Training Two-Layer ReLU Neural Networks
43. ICLR 2025Debiasing Federated Learning with Correlated Client Participation
44. ICLR 2025Debiasing Mini-Batch Quadratics for Applications in Deep Learning
45. ICLR 2025dEBORA: Efficient Bilevel Optimization-based low-Rank Adaptation
46. ICLR 2025Decentralized Optimization with Coupled Constraints
47. ICLR 2025Decision Information Meets Large Language Models: The Future of Explainable Operations Research
48. ICLR 2025Decision Tree Induction Through LLMs via Semantically-Aware Evolution
49. ICLR 2025Decoding Game: On Minimax Optimality of Heuristic Text Generation Strategies
50. ICLR 2025Decomposition Polyhedra of Piecewise Linear Functions

常见问题

2023–2026 年四大会议一共有多少篇理论 · optimization论文？

共 1,871 篇，按年份分别是 2023 年 123 篇、2024 年 494 篇、2025 年 670 篇、2026 年 584 篇。

NeurIPS 2026 有多少篇理论 · optimization论文？

NeurIPS 2026 有 119 篇理论 · optimization论文，上一届是 318 篇。

ICLR 2026 有多少篇理论 · optimization论文？

ICLR 2026 有 244 篇理论 · optimization论文，上一届是 196 篇。

ICML 2026 有多少篇理论 · optimization论文？

ICML 2026 有 214 篇理论 · optimization论文，上一届是 147 篇。

CVPR 2026 有多少篇理论 · optimization论文？

CVPR 2026 有 7 篇理论 · optimization论文，上一届是 9 篇。

哪个会议的理论 · optimization论文最多？

NeurIPS，2023–2026 年共 778 篇。