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 609 篇，第 12 / 13 页
- ICLR 2024The Marginal Value of Momentum for Small Learning Rate SGD
- ICLR 2024Time Fairness in Online Knapsack Problems
- ICLR 2024Towards Establishing Guaranteed Error for Learned Database Operations
- ICLR 2024Towards Imitation Learning to Branch for MIP: A Hybrid Reinforcement Learning based Sample Augmentation Approach
- ICLR 2024Towards Training Without Depth Limits: Batch Normalization Without Gradient Explosion
- ICLR 2024Tractable MCMC for Private Learning with Pure and Gaussian Differential Privacy
- ICLR 2024TRAM: Bridging Trust Regions and Sharpness Aware Minimization
- ICLR 2024Two-timescale Extragradient for Finding Local Minimax Points
- ICLR 2024Unified Projection-Free Algorithms for Adversarial DR-Submodular Optimization
- ICLR 2024Variance Reduced Halpern Iteration for Finite-Sum Monotone Inclusions
- ICLR 2024Weaker MVI Condition: Extragradient Methods with Multi-Step Exploration
- ICLR 2024Why is SAM Robust to Label Noise?
- ICLR 2024Zeroth-Order Optimization Meets Human Feedback: Provable Learning via Ranking Oracles
- ICLR 2023A Theory of Dynamic Benchmarks
- ICLR 2023Accelerated Single-Call Methods for Constrained Min-Max Optimization
- ICLR 2023Achieving Sub-linear Regret in Infinite Horizon Average Reward Constrained MDP with Linear Function Approximation
- ICLR 2023Adaptive Optimization in the $\infty$-Width Limit
- ICLR 2023Alternating Differentiation for Optimization Layers
- ICLR 2023Approximate Vanishing Ideal Computations at Scale
- ICLR 2023Behavior Proximal Policy Optimization
- ICLR 2023Behind the Scenes of Gradient Descent: A Trajectory Analysis via Basis Function Decomposition
- ICLR 2023Bispectral Neural Networks
- ICLR 2023Breaking Correlation Shift via Conditional Invariant Regularizer
- ICLR 2023Computational Language Acquisition with Theory of Mind
- ICLR 2023D4FT: A Deep Learning Approach to Kohn-Sham Density Functional Theory
- ICLR 2023Depth Separation with Multilayer Mean-Field Networks
- ICLR 2023Discovering Evolution Strategies via Meta-Black-Box Optimization
- ICLR 2023Disentanglement with Biological Constraints: A Theory of Functional Cell Types
- ICLR 2023Efficiently Computing Nash Equilibria in Adversarial Team Markov Games
- ICLR 2023Eva: Practical Second-order Optimization with Kronecker-vectorized Approximation
- ICLR 2023Excess Risk of Two-Layer ReLU Neural Networks in Teacher-Student Settings and its Superiority to Kernel Methods
- ICLR 2023Faster federated optimization under second-order similarity
- ICLR 2023Finding Actual Descent Directions for Adversarial Training
- ICLR 2023Fisher-Legendre (FishLeg) optimization of deep neural networks
- ICLR 2023Git Re-Basin: Merging Models modulo Permutation Symmetries
- ICLR 2023Globally Optimal Training of Neural Networks with Threshold Activation Functions
- ICLR 2023Heterogeneous Neuronal and Synaptic Dynamics for Spike-Efficient Unsupervised Learning: Theory and Design Principles
- ICLR 2023Humanly Certifying Superhuman Classifiers
- ICLR 2023Hyperparameter Optimization through Neural Network Partitioning
- ICLR 2023Learning in temporally structured environments
- ICLR 2023Learning Probabilistic Topological Representations Using Discrete Morse Theory
- ICLR 2023Learning ReLU networks to high uniform accuracy is intractable
- ICLR 2023Max-Margin Works while Large Margin Fails: Generalization without Uniform Convergence
- ICLR 2023Optimizing Spca-based Continual Learning: A Theoretical Approach
- ICLR 2023Over-parameterized Model Optimization with Polyak-{\L}ojasiewicz Condition
- ICLR 2023Pitfalls of Gaussians as a noise distribution in NCE
- ICLR 2023Plateau in Monotonic Linear Interpolation --- A "Biased" View of Loss Landscape for Deep Networks
- ICLR 2023Predictor-corrector algorithms for stochastic optimization under gradual distribution shift
- ICLR 2023Projective Proximal Gradient Descent for Nonconvex Nonsmooth Optimization: Fast Convergence Without Kurdyka-Lojasiewicz (KL) Property
- ICLR 2023Provable Memorization Capacity of Transformers
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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。
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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。