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 6 / 10 页
- ICML 2025Emergence in non-neural models: grokking modular arithmetic via average gradient outer product
- ICML 2025End-to-End Learning Framework for Solving Non-Markovian Optimal Control
- ICML 2025Enforcing Idempotency in Neural Networks
- ICML 2025Enhancing Performance of Explainable AI Models with Constrained Concept Refinement
- ICML 2025Ensemble Learned Bloom Filters: Two Oracles are Better than One
- ICML 2025Exact risk curves of signSGD in High-Dimensions: quantifying preconditioning and noise-compression effects
- ICML 2025Expected Variational Inequalities
- ICML 2025Exploiting Curvature in Online Convex Optimization with Delayed Feedback
- ICML 2025Exploiting Similarity for Computation and Communication-Efficient Decentralized Optimization
- ICML 2025Extreme Value Policy Optimization for Safe Reinforcement Learning
- ICML 2025Fast Tensor Completion via Approximate Richardson Iteration
- ICML 2025Faster Stochastic Optimization with Arbitrary Delays via Adaptive Asynchronous Mini-Batching
- ICML 2025Features are fate: a theory of transfer learning in high-dimensional regression
- ICML 2025FedECADO: A Dynamical System Model of Federated Learning
- ICML 2025Finding Wasserstein Ball Center: Efficient Algorithm and The Applications in Fairness
- ICML 2025Flat-LoRA: Low-Rank Adaptation over a Flat Loss Landscape
- ICML 2025Floating-Point Neural Networks Can Represent Almost All Floating-Point Functions
- ICML 2025Fully Dynamic Embedding into $\ell_p$ Spaces
- ICML 2025General framework for online-to-nonconvex conversion: Schedule-free SGD is also effective for nonconvex optimization
- ICML 2025Generalization of noisy SGD in unbounded non-convex settings
- ICML 2025Generalization Performance of Ensemble Clustering: From Theory to Algorithm
- ICML 2025Generalized additive models via direct optimization of regularized decision stump forests
- ICML 2025Generalized Smooth Bilevel Optimization with Nonconvex Lower-Level
- ICML 2025Global curvature for second-order optimization of neural networks
- ICML 2025Gradient Flow Provably Learns Robust Classifiers for Orthonormal GMMs
- ICML 2025Graph-Based Algorithms for Diverse Similarity Search
- ICML 2025Graph-Supported Dynamic Algorithm Configuration for Multi-Objective Combinatorial Optimization
- ICML 2025Heterogeneous Data Game: Characterizing the Model Competition Across Multiple Data Sources
- ICML 2025High-Dimensional Prediction for Sequential Decision Making
- ICML 2025Identifying Metric Structures of Deep Latent Variable Models
- ICML 2025Improved Approximations for Hard Graph Problems using Predictions
- ICML 2025Improved Last-Iterate Convergence of Shuffling Gradient Methods for Nonsmooth Convex Optimization
- ICML 2025Improved Theoretically-Grounded Evolutionary Algorithms for Subset Selection with a Linear Cost Constraint
- ICML 2025Incorporating Arbitrary Matrix Group Equivariance into KANs
- ICML 2025Incremental Gradient Descent with Small Epoch Counts is Surprisingly Slow on Ill-Conditioned Problems
- ICML 2025Inverse Optimization via Learning Feasible Regions
- ICML 2025Joint Learning of Energy-based Models and their Partition Function
- ICML 2025Joker: Joint Optimization Framework for Lightweight Kernel Machines
- ICML 2025Lean and Mean Adaptive Optimization via Subset-Norm and Subspace-Momentum with Convergence Guarantees
- ICML 2025Learning Configurations for Data-Driven Multi-Objective Optimization
- ICML 2025Learning Minimum-Size BDDs: Towards Efficient Exact Algorithms
- ICML 2025Learning Mixtures of Experts with EM: A Mirror Descent Perspective
- ICML 2025Learning to Generate Projections for Reducing Dimensionality of Heterogeneous Linear Programming Problems
- ICML 2025Learning with Exact Invariances in Polynomial Time
- ICML 2025Learning-Augmented Hierarchical Clustering
- ICML 2025LoRA Training Provably Converges to a Low-Rank Global Minimum Or It Fails Loudly (But it Probably Won't Fail)
- ICML 2025Loss Functions and Operators Generated by f-Divergences
- ICML 2025MARS: Unleashing the Power of Variance Reduction for Training Large Models
- ICML 2025Matrix Completion with Incomplete Side Information via Orthogonal Complement Projection
- ICML 2025Maximum Coverage in Turnstile Streams with Applications to Fingerprinting Measures
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。