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 196 篇，第 2 / 4 页

51. ICLR 2025Deep Distributed Optimization for Large-Scale Quadratic Programming
52. ICLR 2025DeeperForward: Enhanced Forward-Forward Training for Deeper and Better Performance
53. ICLR 2025Descent with Misaligned Gradients and Applications to Hidden Convexity
54. ICLR 2025Direct Distributional Optimization for Provable Alignment of Diffusion Models
55. ICLR 2025Do Deep Neural Network Solutions Form a Star Domain?
56. ICLR 2025Do Stochastic, Feel Noiseless: Stable Stochastic Optimization via a Double Momentum Mechanism
57. ICLR 2025Does SGD really happen in tiny subspaces?
58. ICLR 2025DON’T STOP ME NOW: EMBEDDING BASED SCHEDULING FOR LLMS
59. ICLR 2025DRoC: Elevating Large Language Models for Complex Vehicle Routing via Decomposed Retrieval of Constraints
60. ICLR 2025DUET: Decentralized Bilevel Optimization without Lower-Level Strong Convexity
61. ICLR 2025Efficient Alternating Minimization with Applications to Weighted Low Rank Approximation
62. ICLR 2025Efficient Interpolation between Extragradient and Proximal Methods for Weak MVIs
63. ICLR 2025Efficient Sparse PCA via Block-Diagonalization
64. ICLR 2025Efficient stagewise pretraining via progressive subnetworks
65. ICLR 2025Enhancing Zeroth-order Fine-tuning for Language Models with Low-rank Structures
66. ICLR 2025Entropy-based Activation Function Optimization: A Method on Searching Better Activation Functions
67. ICLR 2025Exploring The Loss Landscape Of Regularized Neural Networks Via Convex Duality
68. ICLR 2025Fair Submodular Cover
69. ICLR 2025Faster Algorithms for Structured Linear and Kernel Support Vector Machines
70. ICLR 2025Few for Many: Tchebycheff Set Scalarization for Many-Objective Optimization
71. ICLR 2025Flavors of Margin: Implicit Bias of Steepest Descent in Homogeneous Neural Networks
72. ICLR 2025FLOPS: Forward Learning with OPtimal Sampling
73. ICLR 2025From Decoupling to Adaptive Transformation: a Wider Optimization Space for PTQ
74. ICLR 2025From Lazy to Rich: Exact Learning Dynamics in Deep Linear Networks
75. ICLR 2025GeoLoRA: Geometric integration for parameter efficient fine-tuning
76. ICLR 2025Geometric Inductive Biases of Deep Networks: The Role of Data and Architecture
77. ICLR 2025Gradient correlation is a key ingredient to accelerate SGD with momentum
78. ICLR 2025Gradient descent with generalized Newton’s method
79. ICLR 2025Graph Assisted Offline-Online Deep Reinforcement Learning for Dynamic Workflow Scheduling
80. ICLR 2025Group Distributionally Robust Dataset Distillation with Risk Minimization
81. ICLR 2025How Gradient descent balances features: A dynamical analysis for two-layer neural networks
82. ICLR 2025How many samples are needed to train a deep neural network?
83. ICLR 2025How Much is Unseen Depends Chiefly on Information About the Seen
84. ICLR 2025Implicit Bias of Mirror Flow for Shallow Neural Networks in Univariate Regression
85. ICLR 2025Improved Approximation Algorithms for $k$-Submodular Maximization via Multilinear Extension
86. ICLR 2025Improving Convergence Guarantees of Random Subspace Second-order Algorithm for Nonconvex Optimization
87. ICLR 2025Joint Gradient Balancing for Data Ordering in Finite-Sum Multi-Objective Optimization
88. ICLR 2025LancBiO: Dynamic Lanczos-aided Bilevel Optimization via Krylov Subspace
89. ICLR 2025Lasso Bandit with Compatibility Condition on Optimal Arm
90. ICLR 2025Last Iterate Convergence of Incremental Methods as a Model of Forgetting
91. ICLR 2025LDAdam: Adaptive Optimization from Low-Dimensional Gradient Statistics
92. ICLR 2025Learning Dynamics of Deep Matrix Factorization Beyond the Edge of Stability
93. ICLR 2025Learning Hierarchical Polynomials of Multiple Nonlinear Features
94. ICLR 2025Learning High-Degree Parities: The Crucial Role of the Initialization
95. ICLR 2025Learning Neural Networks with Distribution Shift: Efficiently Certifiable Guarantees
96. ICLR 2025Learning to Select Nodes in Branch and Bound with Sufficient Tree Representation
97. ICLR 2025Learning-Augmented Search Data Structures
98. ICLR 2025Learning-Guided Rolling Horizon Optimization for Long-Horizon Flexible Job-Shop Scheduling
99. ICLR 2025Leveraging Flatness to Improve Information-Theoretic Generalization Bounds for SGD
100. ICLR 2025Leveraging Variable Sparsity to Refine Pareto Stationarity in Multi-Objective 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。