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 8 / 13 页
- ICLR 2025LoRA Done RITE: Robust Invariant Transformation Equilibration for LoRA Optimization
- ICLR 2025Loss Landscape of Shallow ReLU-like Neural Networks: Stationary Points, Saddle Escape, and Network Embedding
- ICLR 2025Make Haste Slowly: A Theory of Emergent Structured Mixed Selectivity in Feature Learning ReLU Networks
- ICLR 2025Making Transformer Decoders Better Differentiable Indexers
- ICLR 2025Mask in the Mirror: Implicit Sparsification
- ICLR 2025MAST: model-agnostic sparsified training
- ICLR 2025Matrix Product Sketching via Coordinated Sampling
- ICLR 2025Methods for Convex $(L_0,L_1)$-Smooth Optimization: Clipping, Acceleration, and Adaptivity
- ICLR 2025Methods with Local Steps and Random Reshuffling for Generally Smooth Non-Convex Federated Optimization
- ICLR 2025MGDA Converges under Generalized Smoothness, Provably
- ICLR 2025Minimalistic Predictions for Online Class Constraint Scheduling
- ICLR 2025MixMax: Distributional Robustness in Function Space via Optimal Data Mixtures
- ICLR 2025Multi-objective Differentiable Neural Architecture Search
- ICLR 2025Nesterov acceleration in benignly non-convex landscapes
- ICLR 2025Neural Exploratory Landscape Analysis for Meta-Black-Box-Optimization
- ICLR 2025New Algorithms for the Learning-Augmented k-means Problem
- ICLR 2025Newton Meets Marchenko-Pastur: Massively Parallel Second-Order Optimization with Hessian Sketching and Debiasing
- ICLR 2025Non-Equilibrium Dynamics of Hybrid Continuous-Discrete Ground-State Sampling
- ICLR 2025Nonasymptotic Analysis of Stochastic Gradient Descent with the Richardson–Romberg Extrapolation
- ICLR 2025Nonconvex Stochastic Optimization under Heavy-Tailed Noises: Optimal Convergence without Gradient Clipping
- ICLR 2025OCCAM: Towards Cost-Efficient and Accuracy-Aware Classification Inference
- ICLR 2025Offline Model-Based Optimization by Learning to Rank
- ICLR 2025On Stochastic Contextual Bandits with Knapsacks in Small Budget Regime
- ICLR 2025On the Almost Sure Convergence of the Stochastic Three Points Algorithm
- ICLR 2025On the Crucial Role of Initialization for Matrix Factorization
- ICLR 2025On the Expressiveness of Rational ReLU Neural Networks With Bounded Depth
- ICLR 2025On the Optimal Memorization Capacity of Transformers
- ICLR 2025On the Optimization and Generalization of Two-layer Transformers with Sign Gradient Descent
- ICLR 2025On the Performance Analysis of Momentum Method: A Frequency Domain Perspective
- ICLR 2025OPTAMI: Global Superlinear Convergence of High-order Methods
- ICLR 2025Optimal Flow Transport and its Entropic Regularization: a GPU-friendly Matrix Iterative Algorithm for Flow Balance Satisfaction
- ICLR 2025Optimistic Games for Combinatorial Bayesian Optimization with Application to Protein Design
- ICLR 2025Optimization by Parallel Quasi-Quantum Annealing with Gradient-Based Sampling
- ICLR 2025Optimizing $(L_0, L_1)$-Smooth Functions by Gradient Methods
- ICLR 2025Optimizing Neural Network Representations of Boolean Networks
- ICLR 2025Oracle efficient truncated statistics
- ICLR 2025Overcoming Lower-Level Constraints in Bilevel Optimization: A Novel Approach with Regularized Gap Functions
- ICLR 2025Parameter and Memory Efficient Pretraining via Low-rank Riemannian Optimization
- ICLR 2025Partial Gromov-Wasserstein Metric
- ICLR 2025Partially Observed Trajectory Inference using Optimal Transport and a Dynamics Prior
- ICLR 2025Preserving Deep Representations in One-Shot Pruning: A Hessian-Free Second-Order Optimization Framework
- ICLR 2025Private Mechanism Design via Quantile Estimation
- ICLR 2025Probabilistic Neural Pruning via Sparsity Evolutionary Fokker-Planck-Kolmogorov Equation
- ICLR 2025Problem-Parameter-Free Federated Learning
- ICLR 2025qNBO: quasi-Newton Meets Bilevel Optimization
- ICLR 2025Quality over Quantity in Attention Layers: When Adding More Heads Hurts
- ICLR 2025Quantum (Inspired) $D^2$-sampling with Applications
- ICLR 2025Rethinking Light Decoder-based Solvers for Vehicle Routing Problems
- ICLR 2025Revisiting Large-Scale Non-convex Distributionally Robust Optimization
- ICLR 2025Revisiting Zeroth-Order Optimization: Minimum-Variance Two-Point Estimators and Directionally Aligned Perturbations
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。