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 35 篇，第 1 / 1 页

1. ICML 2023A Fully First-Order Method for Stochastic Bilevel Optimization
2. ICML 2023A General Theory for Federated Optimization with Asynchronous and Heterogeneous Clients Updates
3. ICML 2023Accelerated Cyclic Coordinate Dual Averaging with Extrapolation for Composite Convex Optimization
4. ICML 2023Accelerated Stochastic Optimization Methods under Quasar-convexity
5. ICML 2023Algorithmic Collective Action in Machine Learning
6. ICML 2023Automatically Auditing Large Language Models via Discrete Optimization
7. ICML 2023Averaged Method of Multipliers for Bi-Level Optimization without Lower-Level Strong Convexity
8. ICML 2023Beyond Lipschitz Smoothness: A Tighter Analysis for Nonconvex Optimization
9. ICML 2023Beyond Uniform Lipschitz Condition in Differentially Private Optimization
10. ICML 2023Bit Allocation using Optimization
11. ICML 2023Certifying Ensembles: A General Certification Theory with S-Lipschitzness
12. ICML 2023Competitive Gradient Optimization
13. ICML 2023Convergence of First-Order Methods for Constrained Nonconvex Optimization with Dependent Data
14. ICML 2023Cyclic Block Coordinate Descent With Variance Reduction for Composite Nonconvex Optimization
15. ICML 2023DADAO: Decoupled Accelerated Decentralized Asynchronous Optimization
16. ICML 2023Differentially Private Stochastic Convex Optimization under a Quantile Loss Function
17. ICML 2023Escaping saddle points in zeroth-order optimization: the power of two-point estimators
18. ICML 2023Fast as CHITA: Neural Network Pruning with Combinatorial Optimization
19. ICML 2023Faster Gradient-Free Algorithms for Nonsmooth Nonconvex Stochastic Optimization
20. ICML 2023Faster Rates of Convergence to Stationary Points in Differentially Private Optimization
21. ICML 2023Generalized Polyak Step Size for First Order Optimization with Momentum
22. ICML 2023Global Optimization with Parametric Function Approximation
23. ICML 2023Linearly Constrained Bilevel Optimization: A Smoothed Implicit Gradient Approach
24. ICML 2023Lottery Tickets in Evolutionary Optimization: On Sparse Backpropagation-Free Trainability
25. ICML 2023Near-Optimal Algorithms for Private Online Optimization in the Realizable Regime
26. ICML 2023Nesterov Meets Optimism: Rate-Optimal Separable Minimax Optimization
27. ICML 2023Neural Network Accelerated Implicit Filtering: Integrating Neural Network Surrogates With Provably Convergent Derivative Free Optimization Methods
28. ICML 2023Omnipredictors for Constrained Optimization
29. ICML 2023Optimization for Amortized Inverse Problems
30. ICML 2023PASTA: Pessimistic Assortment Optimization
31. ICML 2023Robustly Learning a Single Neuron via Sharpness
32. ICML 2023Second-Order Optimization with Lazy Hessians
33. ICML 2023Single Point-Based Distributed Zeroth-Order Optimization with a Non-Convex Stochastic Objective Function
34. ICML 2023Tilted Sparse Additive Models
35. ICML 2023Transformer-based Stagewise Decomposition for Large-Scale Multistage Stochastic Optimization

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。