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 1,871 篇，第 18 / 38 页
- 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
- ICML 2025MERIT: Maximum-normalized Element-wise Ratio for Language Model Large-batch Training
- ICML 2025Modular Duality in Deep Learning
- ICML 2025Momentum-Driven Adaptivity: Towards Tuning-Free Asynchronous Federated Learning
- ICML 2025Multiobjective distribution matching
- ICML 2025Near-optimal Regret Using Policy Optimization in Online MDPs with Aggregate Bandit Feedback
- ICML 2025Nonconvex Theory of $M$-estimators with Decomposable Regularizers
- ICML 2025Nonlinearly Preconditioned Gradient Methods under Generalized Smoothness
- ICML 2025On Differential Privacy for Adaptively Solving Search Problems via Sketching
- ICML 2025On The Concurrence of Layer-wise Preconditioning Methods and Provable Feature Learning
- ICML 2025On the Local Complexity of Linear Regions in Deep ReLU Networks
- ICML 2025Online Conformal Prediction via Online Optimization
- ICML 2025Optimal Decision Tree Pruning Revisited: Algorithms and Complexity
- ICML 2025Optimization for Neural Operators can Benefit from Width
- ICML 2025Optimization over Sparse Support-Preserving Sets: Two-Step Projection with Global Optimality Guarantees
- ICML 2025OptMATH: A Scalable Bidirectional Data Synthesis Framework for Optimization Modeling
- ICML 2025PARQ: Piecewise-Affine Regularized Quantization
- ICML 2025PDUDT: Provable Decentralized Unlearning under Dynamic Topologies
- ICML 2025Policy Optimization for CMDPs with Bandit Feedback: Learning Stochastic and Adversarial Constraints
- ICML 2025Polynomial Time Learning Augmented Algorithms for NP-hard Permutation Problems
- ICML 2025Position: A Theory of Deep Learning Must Include Compositional Sparsity
- ICML 2025Position: Algebra Unveils Deep Learning - An Invitation to Neuroalgebraic Geometry
- ICML 2025Position: An Empirically Grounded Identifiability Theory Will Accelerate Self Supervised Learning Research
- ICML 2025Prices, Bids, Values: One ML-Powered Combinatorial Auction to Rule Them All
- ICML 2025Principled Algorithms for Optimizing Generalized Metrics in Binary Classification
- ICML 2025Procurement Auctions via Approximately Optimal Submodular Optimization
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。