理论 · optimization论文趋势 2023–2026
学习理论及相关：optimization
统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 1,871 篇被归入该主题的论文。
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。
各会议论文数
按年份和会议统计
| 年份 | NeurIPS | ICLR | ICML | CVPR | 合计 |
|---|---|---|---|---|---|
| 2023 | 37 | 46 | 35 | 5 | 123 |
| 2024 | 304 | 123 | 67 | 0 | 494 |
| 2025 | 318 | 196 | 147 | 9 | 670 |
| 2026 | 119 | 244 | 214 | 7 | 584 |
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 463 篇，第 5 / 10 页
- ICML 2026Towards Understanding Adam Convergence on Highly Degenerate Polynomials
- ICML 2026Towards Understanding Generalization of Federated Adversarial Learning: Perspective of Algorithmic Stability
- ICML 2026Trainable Nonexpansive Denoisers for Contractive Image Reconstruction
- ICML 2026Transformers Learn the Optimal DDPM Denoiser for Multi-Token GMMs
- ICML 2026TSP with Predictions: Heatmap to Tour with Provable Guarantees
- ICML 2026Understanding MARS: When Scaling Momentum Provably Helps
- ICML 2026Understanding SAM through Minimax Perspective
- ICML 2026Universal Learning of Nonlinear Dynamics
- ICML 2026Universal Representation of Generalized Convex Functions and their Gradients
- ICML 2026Upper-Linearizability of Online Non-Monotone DR-Submodular Maximization over Down-Closed Convex Sets
- ICML 2026Variance-Reduced $(\varepsilon, \delta)-$Unlearning using Forget Set Gradients
- ICML 2026What Does Preference Learning Recover from Pairwise Comparison Data?
- ICML 2026What Does Thompson Sampling Optimize?
- ICML 2026Why Do We Need Warm-up? A Theoretical Perspective
- ICML 2025$\mathcal{V}ista\mathcal{DPO}$: Video Hierarchical Spatial-Temporal Direct Preference Optimization for Large Video Models
- ICML 2025A Bregman Proximal Viewpoint on Neural Operators
- ICML 2025A Generalization Result for Convergence in Learning-to-Optimize
- ICML 2025A Near Linear Query Lower Bound for Submodular Maximization
- ICML 2025A Parameter-Free and Near-Optimal Zeroth-Order Algorithm for Stochastic Convex Optimization
- ICML 2025A Parametric Contextual Online Learning Theory of Brokerage
- ICML 2025A Unified View on Learning Unnormalized Distributions via Noise-Contrastive Estimation
- ICML 2025Active Learning of Deep Neural Networks via Gradient-Free Cutting Planes
- ICML 2025Adapting to Linear Separable Subsets with Large-Margin in Differentially Private Learning
- ICML 2025Advancing Constrained Monotonic Neural Networks: Achieving Universal Approximation Beyond Bounded Activations
- ICML 2025Aligned Multi Objective Optimization
- ICML 2025An in depth look at the Procrustes-Wasserstein distance: properties and barycenters
- ICML 2025Analytical Lyapunov Function Discovery: An RL-based Generative Approach
- ICML 2025Armijo Line-search Can Make (Stochastic) Gradient Descent Provably Faster
- ICML 2025Automatic Differentiation of Optimization Algorithms with Time-Varying Updates
- ICML 2025Bayesian Optimization from Human Feedback: Near-Optimal Regret Bounds
- ICML 2025Beyond Minimax Rates in Group Distributionally Robust Optimization via a Novel Notion of Sparsity
- ICML 2025Certifiably Robust Model Evaluation in Federated Learning under Meta-Distributional Shifts
- ICML 2025Compact Matrix Quantum Group Equivariant Neural Networks
- ICML 2025Competitively Consistent Clustering
- ICML 2025Consensus Is All You Get: The Role of Attention in Transformers
- ICML 2025Constrained Online Convex Optimization with Polyak Feasibility Steps
- ICML 2025Convergence of Mean-Field Langevin Stochastic Descent-Ascent for Distributional Minimax Optimization
- ICML 2025Convergence of Policy Mirror Descent Beyond Compatible Function Approximation
- ICML 2025Decoupled SGDA for Games with Intermittent Strategy Communication
- ICML 2025Deep Sturm–Liouville: From Sample-Based to 1D Regularization with Learnable Orthogonal Basis Functions
- ICML 2025Differentiable Quadratic Optimization For the Maximum Independent Set Problem
- ICML 2025Diffusion Models are Secretly Exchangeable: Parallelizing DDPMs via Auto Speculation
- ICML 2025Dimension-Free Adaptive Subgradient Methods with Frequent Directions
- ICML 2025Discrepancy Minimization in Input-Sparsity Time
- ICML 2025Distributed Conformal Prediction via Message Passing
- ICML 2025Distributed Event-Based Learning via ADMM
- ICML 2025Dueling Convex Optimization with General Preferences
- ICML 2025Efficient Curvature-Aware Hypergradient Approximation for Bilevel Optimization
- ICML 2025Efficient Distributed Optimization under Heavy-Tailed Noise
- ICML 2025Efficient First-Order Optimization on the Pareto Set for Multi-Objective Learning under Preference Guidance
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 查理论 · optimization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": "theory-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。